2026
R. Hamidpour, F. Yousefirizi, Y. Salimi, H. Zaidi, C. Uribe, A. Rahmim
Gaze-nnUNet: Gaze-guided clinician-in-the-loop platform for image segmentation in nuclear medicine
Proc. SPIE Medical Imaging, 2026
M. R. Salmanpour, S. Falahati, A. Mousavi, A. H. Pouria, S. S. Mehrnia, M. Alizadeh, A. Gorji, Z. Farsangi, A. Safarian, M. Maghsudi, A. Rahmim, R. Yuan
Minimal Input, Maximal Impact: A CT-Only Semi-Supervised Learning Pipeline for Lung Cancer Survival Prediction Across 12 Datasets
Proc. SPIE Medical Imaging, 2026
M. Sabouri, G. Hajianfar, A. Rafiei Sardouei, M. Yazdani, A. Asadzadeh, S. Bagheri, M. Arabi, S. R. Zakavi, E. Askari, A. Aghaee, S. Wiseman, D. Shahriari, H. Zaidi, A. Rahmim
Enhancing Thyroid Scintigraphy Classification with Diffusion-Based Augmentation
Proc. SPIE Medical Imaging, 2026
A. Fathi Jouzdani, S. Taeb, M. Maghsudi, A. Gorji, I. Hacihaliloglu, A. Rahmim, M. R. Salmanpour
Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Lung Cancer; Dictionary Version LC1.0
Proc. SPIE Medical Imaging, 2026
F. Yousefirizi, P. E. Fernandez, A. Rahmim, C. Uribe
Topology aware spectral graph matching for lesion tracking in theranostic SPECT imaging
Proc. SPIE Medical Imaging, 2026
M. R. Salmanpour, S. M. Pirid, S. S. Mehrniae, A. Rahmim, I. Hacihaliloglu
LCP1.0: A Computational Pathomics Dictionary as a Translational Tool Between AI Researchers and Clinicians in Liver Cancer Care
Proc. SPIE Medical Imaging, 2026
M. Luo, A. Rahmim, M. R. Salmanpour
Robust multi‑parametric model selection for semi‑supervised event‑free survival prediction in lung cancer using PET/CT radiomics
Proc. SPIE Medical Imaging, 2026N. Aghakhanolia, J. Fowler, B. Panahi, A. Rahmim, P. E. Fernandez
A Realistic Lesion Insertion and Reconstruction Framework for Task-based Evaluations in Clinical SPECT and PET Imaging
Proc. SPIE Medical Imaging, 2026M. Luo, C. Gowdy, K. J. Savage, L. H. Sehn, R. Hamidpour, A. C. Lo, A. Rahmim, F. Yousefirizi
Quantitative PET/CT measures from consensus and union of threshold and AI-based segmentation for outcome prediction in limited-stage follicular lymphoma
Proc. SPIE Medical Imaging, 2026M. R. Salmanpour, A. H. Pouria, M. Oveisi, A. Rahmim
PySERA – Open-source, IBSI-compliant Python Library for Automated, Scalable, and Reproducible Radiomics: Demonstration of Added Predictive Power
Proc. SPIE Medical Imaging, 2026A. Gorji, N. Sanati, A. H.Pouria, S. S. Mehrnia, I. Hacihaliloglu, A. Rahmim, M. R. Salmanpour
BM1.0: A Radiomics Computational Dictionary Bridging AI Research and Clinical Practice in Breast Cancer Care
Proc. SPIE Medical Imaging, 2026A. Fathi Jouzdani, A. Gorji, M. Zahedi, M. Alizadeh, B. Saboury, A. Rahmim, A. Fayaz-Bakhsh, M. R. Salmanpour
Crossing the AI Innovation-to-Application Chasm through Implementation Science: Using Concept Mapping in the Knowledge-to-Action Process to Identify and Overcome Barriers to Routine Use of Effective AI in Medical Imaging
Proc. SPIE Medical Imaging, 2026
2025
- C. Li, Y. Zhu, L. Polson, J. Fowler, G. Wang, C. Uribe, A. Rahmim
Maximum likelihood reconstruction of attenuation and activity (MLAA) in SPECT for improved attenuation correction: Simulation, phantom, and patient data validation
Proc. IEEE Medical Imaging Conference, 2025 - M. Sabouri, G. Hajianfar, O. Gharibi, A. Rafiei Sardouei, Y. Menda, A. Dundar, C. Gadens Zamboni, S. Jain, H. Zaidi, F. Yousefirizi, A. Shariftabrizi, A. Rahmim
PET Inter-Lesion Radiomics Aggregation for Enhanced PRRT Response Prediction in Neuroendocrine Tumors
Proc. IEEE Medical Imaging Conference, 2025 - K. Thielemans, E. Asma, M. Cook, M. Hansen, J. Jones, N. A. Karakatsanis, …, A. Rahmim, …, R. G. Wells
Final draft of PETSIRD v1.0: a proposed standard for PET raw data
Proc. IEEE Medical Imaging Conference, 2025 - M. R. Salmanpour, A. H. Pouria, S. Falahati, S. Taeb, S. S. Mehrnia, M. Maghsoudi, Z. Farsangi, A. Safarian, M. Oveisi, I. Hacihaliloglu, A. Rahmim, R. Yuan
Multi-Center Semi-Supervised Prediction of Lung Cancer Survival Outcomes via Pseudo-Labeling of CT Images
Proc. IEEE Medical Imaging Conference, 2025 - M. Alizadeh, M. Oveisi, S. Falahati, G. Mousavi, M. A. Meybodi, S. S. Mehrnia, I. Hacihaliloglu, A. Rahmim, M. R. Salmanpour
AllMetrics: a Unified Python Library for Standardized Metric Evaluation in Machine Learning
Proc. IEEE Medical Imaging Conference, 2025 - M. R. Salmanpour, M. Oveisi, I. Shiri, A. Rahmim
RADIUMA: A Shareable Executable Workflow Generator for Medical Image Analysis
Proc. IEEE Medical Imaging Conference, 2025 - M. R. Salmanpour, A. Gorji, A. Feiz, M. Houshmand, S. S. Mehrnia, A. Rahmim
Semi-Supervised Learning for Improved Radiomics-Based Outcome Prediction from Lymphoma [18F]FDG PET Images
Proc. IEEE Medical Imaging Conference, 2025 - S. A. Hosseini, M. Seyfi, G. Hajianfar, M. Sabouri, P. Rosa-Neto, E. Kobayashi, S. Chawla, A. Rahmim, H. Zaidi, M. R. Ay, M. R. Nazemzade
Multiclass Epilepsy Classification Using Radiomics Features from T1-Weighted MRI
Proc. IEEE Medical Imaging Conference, 2025 - M. R. Salmanpour, A. M. Ahmadzedeh, S. Jabarzadeh Ghandilu, S. Taeb, A. H. Pouria, S. S. Mehrnia, M. Oveisi, A. Rahmim, I. Hacihaliloglu
Advanced Prediction of Glioblastoma IDH Mutation Using Semi-Supervised Pseudo-Labeling and Combined MRI Sequences Across Multiple Centers
Proc. IEEE Medical Imaging Conference, 2025 - M. R. Salmanpour, S. Amiri, S. Gharibi, A. Shariftabrizi, Y. Xu, W. B. Weeks, A. Rahmim, I. Hacihaliloglu
Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0
Proc. IEEE Medical Imaging Conference, 2025 - S. Amiri, S. Dehghanfard, S. Gharibi, M. Oveisi, S. S. Mehrnia, S. Taeb, I. Hacihaliloglu, A. Rahmim, M. R. Salmanpour
Reducing Gadolinium Dependency in Neuro-Oncology: A Multicenter Machine-Learning Driven Estimation of Brain Glioma Enhancement from Non-Contrast T1 MRI
Proc. IEEE Medical Imaging Conference, 2025 - A. Gorji, N. Sanati, A. H. Pouria, S. S. Mehrnia, A. Shariftabrizi, I. Hacihaliloglu, A. Rahmim, M. R. Salmanpour
Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0
Proc. IEEE Medical Imaging Conference, 2025 - P. Yazdi, J. Fowler, F. Youserifizi, A. Rahmim, C. Uribe, P. L. Esquinas
Framework for Theranostic Digital Twins Generation and
Virtual Theranostic Trials
Proc. Symp. Molec. Radiother. Dosimetry, 2025 - A. Kassanke, P. L. Esquinas, S. Kurkowska, X. Hou, M. Gonzalez, S. Ahamed, L. Polson, C. Dellar, W. Parulekar, K. N. Chi, C. Uribe
Fast Enough to Matter: Shortened SPECT Protocols for Accurate Dosimetry in Lu-177 PSMA Therapy
Proc. Symp. Molec. Radiother. Dosimetry, 2025 - M. Luo, F. Yousefirizi, C. Gowdy, J. H. O, A. Rahmim
Evaluation of Single-Channel PET and Dual-Channel PET/CT nnU-Net Deep Learning 3D Segmentations from Diffuse Large B-Cell Lymphoma to Follicular Lymphoma
EANM Innovation, vol. 1 (suppl.): S12, 2025 - R. Hamidpour, A. Toosi, F. Yousefirizi, Y. Salimi, H. Zaidi, C. Uribe, A. Rahmim
Gaze-Guided Clinician-in-the-Loop AI Platform for Total Tumor Volume Segmentation in PET/CT and SPECT/CT
EANM Innovation, vol. 1 (suppl.): S14, 2025 - H. Abdollahi, J. Fowler, C. Uribe, A. Rahmim
Predictive Dosimetry in PSMA-targeted Radiopharmaceutical Therapies Guided by Physiologically-based Pharmacokinetic (PBPK) Modeling and Artificial Intelligence
EANM Innovation, vol. 1 (suppl.): S181, 2025 - S. Kurkowska, P.L. Esquinas, A. Rahmim, X. Hou, F. A. Buteau, A. Beaulieu, G. April, F. Arsenault, J.M. Beauregard, C. Uribe
Long-Term Renal Safety of Personalized [¹⁷⁷Lu]Lu-DOTA-TATE PRRT: Evidence from the NCT02754297 trial Supporting Absorbed Doses Beyond Conventional Limits
EANM Innovation, vol. 1 (suppl.): S185, 2025 - J. Fowler, M. Sabouri, A. Rahmim, C. Uribe
Optimization of 177Lu-PSMA Dosimetry Imaging Schedules using Physiologically-Based Pharmacokinetic (PBPK) Modeling
EANM Innovation, vol. 1 (suppl.): S182, 2025 - L. Polson, S. Kurkowska, C. Li, P. L. Esquinas, C. Uribe, A. Rahmim
Optimal SPECT Acquisition Settings for Quantitative Ac-225 Dosimetry
EANM Innovation, vol. 1 (suppl.): S45, 2025 - F. Yousefirizi, P. L. Esquinas, S. Kurkowska, F. Benard, A. Rahmim, C. Uribe Enabling
Enabling Lesion-Level Dose–Response Analysis in RPTs: Topology-Aware Tracking of Metastases Using Spectral Graph Matching
EANM Innovation, vol. 1 (suppl.): S783, 2025 - I. Martin, E. Jamieson, N. Colpo, J. Jeffrey, B. Cox, F. Benard, P. Esquinas, C. Uribe
Evaluating 4-bed μPET/CT Imaging Performance using Mouse Phantoms
EANM Innovation, vol. 1 (suppl.): S462, 2025 - M. Sabouri, A. Rafiei Sardouei, J. Fowler, O. Gharibi, H. Abdollahi, C. Uribe, A. Rahmim
PBPK-Driven Digital Twinning in Radiopharmaceutical Therapies enabling Predictive Dosimetry from Dynamic Pre-Therapy PET Data
EANM Innovation, vol. 1 (suppl.): S818, 2025 - L. Polson, S. Kurkowska, P. L. Esquinas, J. Grudzinski, C. Uribe, A. Rahmim
Monte Carlo Based SPECT Reconstruction: Improvements to Quantitative Imaging
EANM Innovation, vol. 1 (suppl.): S762, 2025 N. Aghakhanolia, A. Rahmim, P. L. Esquinas
Systematic Optimization of PET Quantitative Imaging using Realistically Inserted Synthetic Lesions: A Standardized Approach
EANM Innovation, vol. 1 (suppl.): S775, 2025A. Fayaz-Bakhsh, A. Rahmim
The Potential of AI-based Healthcare in Mass Gatherings based on Evidence in Dentistry
Proc. 5th Intern. Congress on Health in Arbaeen, 2025M. Luo, C. Gowdy, K. J. Savage, L. H. Sehn, R. Hamidpour, A. C. Lo, A. Rahmim, F. Yousefirizi
Benchmarking Threshold-Based and AI-Based Segmentation Methods for Prognostic PET Biomarkers in Limited-Stage Follicular Lymphoma
Proc. Meeting on PET in Lymphoma and Myeloma (PILM), 2025F. Yousefirizi, P. Fernandez, S. Kurkowska, F. Benard, A. Rahmim, C. Uribe
Automated Pipeline for Longitudinal Lesion Tracking in SPECT Imaging using Morphology and Texture Aware Cost FunctionJ. Nucl. Med., vol. 66 (suppl. 1): 252199, 2025
C. Li, Y. Zhu, L. Polson, J. Fowler, G. Wang, C. Uribe, A. Rahmim
SPECT-enabled Dual-Energy CT Imaging: Method Verification using Monte Carlo Simulations
J. Nucl. Med., vol. 66 (suppl. 1): 251167, 2025I. Martin, E. Jamieson, F. Yousefirizi, H. Merkens, C. Miller, M. Guadalupe Jaraquemada-Pelaez, E. Roncali, P. Esquinas Fernandez, F. Benard, C. Uribe
Multiscale Dosimetry of Tb-161, Lu-177, and Ac-225: Exploring Spatial Distribution and Information Loss from Micrometer to Patient Imaging Scales
J. Nucl. Med., vol. 66 (suppl. 1): 252102, 2025L. Polson, C. Uribe, A. Rahmim
Quantitative Ac-225 SPECT Imaging and Reconstruction: What Photopeak Should We Use?
J. Nucl. Med., vol. 66 (suppl. 1): 252208, 2025S. Kurkowska, P. Esquinas, D. Wilson, M. Soleimani, KS. Lin, F. Benard, C. Uribe
Comparison of Extrapolation Methods for Animal-to-Human Dosimetry of PSMA targeting agents: 177Lu-HTK03170 and 177Lu-PSMA-617
J. Nucl. Med., vol. 66 (suppl. 1): 252043, 2025J. Fowler, A. Rahmim, C. Uribe
Optimization of Imaging Protocols for PSMA SPECT Dosimetry
J. Nucl. Med., vol. 66 (suppl. 1): 252133, 2025F. Yousefirizi, S. Harsini., M. Mohebi,T. Yusufaly, P. Martineau, D. Wilson, F. Bénard, C. Uribe, A. Rahmim
Prognostic Value of Non-Tumor Radiomics from Negative PET/CT Scans for Predicting Clinical Progression-Free Survival in Prostate Cancer Across Treatment Histories
J. Nucl. Med., vol. 66 (suppl. 1): 252192, 2025F. Yousefirizi, S. Harsini, M. Mohebi, T. Yusufaly, I. Alberts, M. Sabouri, P. Martineau, D. Wilson, F. Bénard, C. Uribe, A. Rahmim
Uncertainty-Aware Non-Tumor Radiomics from Negative PSMA PET/CT for Predicting Prostate Cancer Progression
J. Nucl. Med., vol. 66 (suppl. 1): 252183, 2025M. Sabouri, F. Yousefirizi, O. Gharibi, Y. Menda, A. Dundar, C. Gadens Zamboni, S. Jain, A. Rahmim, A. Shariftabrizi
PET Intra-Patient Inter-Lesion Radiomics Feature Aggregation to Enhance PRRT Progression Predictions in Patients with Neuroendocrine Tumors
J. Nucl. Med., vol. 66 (suppl. 1): 252122, 2025S. Bagheri, M. Sabouri, G. Hajianfar, B. Yazdani, O. Gharibi, A. Aghaee, H. Moradi, A. Rahmim, H. Zaidi
Impact of Field-of-View Zooming and Segmentation on Radiomics Reproducibility and Machine Learning Performance in Thyroid Scintigraphy
J. Nucl. Med., vol. 66 (suppl. 1): 251953, 2025M. Luo, H. Abdollahi, F. Yousefirizi, S. Harsini, A. Rahmim
Lung Cancer Radiopathomics: Correlating PET/CT Radiomics and Histopathological Features in Lung Adenocarcinoma and Squamous Cell Carcinoma
J. Nucl. Med., vol. 66 (suppl. 1): 251687, 2025R. Hamidpour, A. Toosi, R. Yuen, A. Rahmim, C. Uribe
An Integrated Development and Data-Indexing Framework for Medical Imaging: Leveraging ML-Ops Principle
J. Nucl. Med., vol. 66 (suppl. 1): 252141, 2025S. Kurkowska, P. Esquinas, N. Colpo, C. Williams, M. Soleimani, D. Wilson, F. Benard, C. Uribe
First in human evaluation of 177Lu-HTK03170: Biodistribution and dosimetry in patients with mCRPC
J. Nucl. Med., vol. 66 (suppl. 1): 252015, 2025L. Polson, P. Esquinas, C. Uribe, A. Rahmim
Proof of Concept Study for Quantitative Clinical SPECT Imaging of Er-165 using Monte Carlo Driven Reconstruction
J. Nucl. Med., vol. 66 (suppl. 1): 252196, 2025A. Shariftabrizi, S. Sharif, M. Chimenti, N. Fei, A. Rahmim, F. Yousefirizi, M. Graham, T. Heckel, S. Ashrafinia, I. Philipp, S. Naseem, J. Sieren, B. Spottiswoode, A. Kamen
Inter-lesional heterogeneity indices on FDG PET/CT correlate with ctDNA oncogenic pathway activation in progressive colorectal cancer
J. Nucl. Med., vol. 66 (suppl. 1): 251833, 2025L. Polson, C. Uribe, J. Grudzinski, A. Rahmim
Complete Monte Carlo SPECT Reconstruction using PyTomography and SIMIND
J. Nucl. Med., vol. 66 (suppl. 1): 25227, 2025N. A. Karakatsanis, D. Atkinson, …, L. Polson, S. Porter, A. Rahmim, …, R. G. Wells, K. Thielemans
In-Silico Usability Demonstration for PETSIRD, the open PET Raw Data Format of the Emission Tomography Standardization Initiative (ETSI): report on ETSI’s second hackathon results
J. Nucl. Med., vol. 66 (suppl. 1): 251417, 2025N. R. R. Zaid, G. Agasthya, A. Akhavanallaf, R. Boellaard, J. Brosch-Lenz, G. Currie, J. Dutta, G. E. Fakhri, A. Jha, B. Saboury, J. Schwartz, K. Shi, M. Soltani, L. Strigari, A. Rahmim, T. Yusufaly
Image-Based Pharmacokinetic Modeling and Dosimetry: a Paradigm for Verification, Validation and Uncertainty Quantification in Computational Nuclear Oncology
J. Nucl. Med., vol. 66 (suppl. 1): 251596, 2025- G. Ozgun, N. Abdalvand, G. Ozcan, K. M. Nip, N. Khazamipour, A. Rahmim, ..., R. Yuan, L. Nappi
Predicting Teratoma Histology in Postchemotherapy Residual Lesions of Non-Seminoma Testicular Cancer (NSTC) Patients Using Integrated CT Radiomics and Circulating MicroRNAs Modelling
J. Clinical Oncology, vol. 43 (suppl. 16), pp. 5035, 2025 - Z. Valibeiglou, J. Pirayesh Islamian, Y. Soleymani, S. Farzanehfar, F. Aghahosseini, N. Gilani, A. Rahmim, P. Sheikhzadeh.
Enhancing radiomics stability in non-small cell lung carcinoma PET imaging using Bayesian penalized likelihood reconstruction algorithm: A phantom and patient study
Proc. 13th Iranian Congress of Medical Physics, Abstract NO3120116, 2025 - G. Ozgun, N. Abdalvand, G. Ozcan, K. M. Nip, N. Khazamipour, A. Rahmim, …, R. Yuan, L. Nappi
Machine learning model integrating CT radiomics and circulating microRNAs to predict residual disease histology in metastatic non-seminoma testicular cancer (mNSTC)
J. Clinical Oncology, vol. 43 (suppl. 5), pp. 647, 2025
2024
- A. Toosi, S. Harsini, F. Bénard, C. Uribe, A. Rahmim
How To Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-Angle Maximum Intensity Projections and Diffusion Models (arXiv)
Proc. MICCAI Workshop on Deep Generative Models (DGM), Lect. Notes Comp. Sci., vol. 15224, pp. 212-221, 2024 - N. Zakariaei, A. Rahmim, E. Haber
Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging (arXiv)
Proc. MICCAI Workshop on Computational Mathematics Modeling in Cancer Analysis (CMMCA), Lect. Notes Comp. Sci., vol. 15181, pp. 99-109, 2024 - M. R. Salmanpour, A. Gorji, A. Fathi Jouzdani, N. Sanati, R. Yuan, A. Rahmim
Exploring Several Novel Strategies to Enhance Prediction of Lung Cancer Survival Time
Proc. IEEE Medical Imaging Conference, 2024 - C. Li, L. Polson, C. F. Uribe, A. Rahmim
Quantifying Uncertainty in SPECT Imaging Using a Gamma Statistical Model with Spatial Covariance
Proc. IEEE Medical Imaging Conference, 2024 - M. Sabouri*, S. Ahamed*, A. Asadzadeh, A. Haddadi Avval, S. Bagheri, M. Arabi, S. R. Zakavi, E. Askari, A. Rasouli, A. Aghaee, M. Sehati, F. Yousefirizi, C. Uribe, G. Hajianfar, H. Zaidi, A. Rahmim (*co-first-authors)
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images
Proc. European Workshop on Visual Information Processing (EUVIP), 2024 - G. Hajianfar, M. Sabouri, A. Saberi Manesh, S. Bagheri, M. Arabi, S. R. Zakavi, E. Askari, A. Rasouli, A. Asadzadeh, A. Aghaee, K. Fattahi, E. Bayat, M. Mogharrabi, M. Chehreghani, Y. Salimi, A. Sanaat, A. Rahmim, I. Shiri, H. Zaidi
Stable Diffusion Model-based Scintigraphy Image Synthesis: Data Augmentation Toward Enhanced Multiclass Thyroid Diagnosis
Proc. European Workshop on Visual Information Processing (EUVIP), 2024 - G. Hajianfar, O. Gharibi, M. Sabouri, M. Mohebi, M. Amini, M.J. Yasemi, M. Chehreghani, M. Edalat-Javid, S. Valavi, A. Bitarafan Rajabi, Y. Salimi, H. Arabi, A. Rahmim, I. Shiri, H. Zaidi
Fully Automated Artificial Intelligence-based Coronary Artery Disease Diagnosis from SPECT Myocardial Perfusion Imaging
Proc. Swiss Congress of Radiology (SCR), 2024 - M. R. Salmanpour, R. Yuan, A. Rahmim
Enhanced Lung Cancer Survival Prediction via Semi-Supervised Learning and Pseudo-Labeling Applied to Diverse PET/CT Data Sources
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S323, 2024 - S. Kurkowska, P. L. Esquinas, I. Bloise, A. Ocampo, C. Dellar, W. Parulekar, F. Saad, K. Chi, B. Birkenfeld, H. Piwowarska-Bilska, K. Zukotynski, J. Beauregard, F. Benard C. Uribe
Evaluation of Different Segmentation Methods for Lesion Dosimetry in mCRPC Patients Treated with 177Lu-PSMA-617: Experience from the Canadian Cancer Trial Group PR.21 Trial (NCT 04663997)
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S166, 2024 - L. Polson, S. Kurkowska, P. Esquinas, C. Uribe, A. Rahmim
Uncertainty Estimation for Dosimetry from SPECT Image Reconstruction
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S99, 2024 - J. Fowler, J. Atwal, I. Grewal, A. Peters, N. Waldal, R. Zibyan, R. Fedrigo, C. F. Uribe, A. Rahmim
Development of a Fluidics Phantom for Dynamic PET Imaging
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S289, 2024 - A. Ocampo, C. Miller, L. Polson, S. Kurkowska, P. Esquinas, N. Nuñes, C. Uribe
Lesion-Dependent Recovery Coefficient Predictions Using Machine Learning Protocols
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S133, 2024 - F. Yousefirizi, X.Tie, T. J. Bradshaw, S. Cho, S. Perlman, M. Shin, S. Castellino, K. Kelly, C. Gowdy, C. Lam, P. Sheikhzadeh, S. Farzanehfar, C. F. Uribe, A. Rahmim
Generalizability of an Adult-Trained Lymphoma PET/CT Metabolic Tumor Volume Segmentation Model to Pediatric Hodgkin Lymphoma Patients
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S56, 2024 - F. Yousefirizi, S. Harsini, M. Mohebi, P. Martineau, A. Shariftabrizi, D. Wilson, F. Bénard, C. F. Uribe, A. Rahmim
Improving Clinical Progression Prediction in Prostate Cancer: Utilizing Radiomics of Normal Tissue in Negative PSMA PET/CT Scans for Patients with Biochemical Recurrence
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S178, 2024 - S. Ahamed, L. Polson, A. Rahmim
Novel Methods for SPECT Scatter Estimation Using Gaussian Blurring and Deep Image Prior
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S1025, 2024 - F. Yousefirizi, L. Wang, C. Gowdy, A. Shariftabrizi, S. Harsini, S. Ahamed, M. Sabouri, E. Mollaheydar, A. Rahmim
Exploring Generalizability of a fine-tuned Large Language Model for Impression Generation in PET Reports
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S785, 2024 - S. Kamrani, P. Sheikhzadeh, A. Kamali-Asl, A. Rahmim, A. Akhavanallaf, S. M. Aghamiri, F. Darvishi
Validation of Tc-99m and Lu-177 quantification parameters for a SIMIND Monte Carlo modelled gamma camera
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S695, 2024 - T. Zare, M. Ghorbanzadeh, S. Hariri Tabrizi, M. H. Farahani, B. Teimourian Fard, A. Rahmim, P. Sheikhzadeh, P. Ghafarian,
M. R. Ay
Spatial Resolution Enhancement in Dedicated Brain PET Scanner Using an Analytic System Matrix
Eur. J. Nucl. Med. Mol. Imaging, vol. 51 (suppl. 1): S759, 2024 - F. Yousefirizi, K. J. Savage, L.H. Sehn, C. Gowdy, P. Tonseth, A. R. Hayden, D. Wilson, C.F. Uribe, A. Rahmim
Prognostic Role of End-of-Treatment FDG PET in Primary Mediastinal Large B-Cell Lymphoma: Application of Deep Neural Network for Segmentation-Free Progression Prediction
J. Nucl. Med., vol. 65 (suppl. 2): 242237, 2024 - A. Toosi, S. Kurkowska, L. Polson, N. Colpo, C. Dellar, W. R. Parulekar, F. Saad, K. Chi, F. Benard, P. Esquinas Fernandez, A. Rahmim, C. Uribe
Accelerating SPECT Imaging for Dosimetry via Projection Interpolation using Denoising Diffusion Probabilistic Models
J. Nucl. Med., vol. 65 (suppl. 2): 242418, 2024 - H. Abdollahi, A. Feleh-Paranj, A. Rahmim
Enhancing Dose Predictions in Radiopharmaceutical Therapies by Applying Machine Learning to Time-Activity Curve Features: A Simulation Study using PBPK Modeling
J. Nucl. Med., vol. 65 (suppl. 2): 242104, 2024 - M. R. Salmanpour, A. Fathi Jouzdani, A. Gorji, F. Panahabadi, M. Rajabi, A. Abootorabi, N. Sanati, A. M. Ahmadzadeh, A. Rahmim
Semi-supervised vs. Supervised Machine Learning Approaches for Improved Overall Survival Prediction: Application to Lung Cancer PET/CT Images
J. Nucl. Med., vol. 65 (suppl. 2): 242097, 2024 - F. Yousefirizi, C. Holloway, P. Tonseth, A. Alexander, S. Harsini, C. F. Uribe, A. Rahmim
Prognostic Significance of Lymph Node Involvement in Cervical Cancer Patients with Negative Post-Treatment PET Scans
J. Nucl. Med., vol. 65 (suppl. 2): 242213, 2024 - A. Toosi, I. Shiri, F. Nasr, H. Zaidi, A. Rahmim
Fully Automated Segmentation-Free Outcome Prediction for Head and Neck Cancer Using Multi-Angle Maximum Intensity Projections (MA-MIPS) of FDG-PET Images
J. Nucl. Med., vol. 65 (suppl. 2): 242510, 2024 - F. Yousefirizi, G. Hajianfar, C. Holloway, P. Tonseth, A. Alexander, M. Sabouri, H. Zaidi, C.F. Uribe, A. Rahmim
Disease-free survival prediction in cervical cancer utilizing radiomics analysis of pre-treatment 18F-FDG PET images
J. Nucl. Med., vol. 65 (suppl. 2): 242246, 2024 - S. Ahamed, M. Tek, S. Kurkowska, C. F. Uribe, A. Rahmim
Leveraging counterfactual generative diffusion probabilistic model for anomaly detection: Application to lung cancer PET images
J. Nucl. Med., vol. 65 (suppl. 2): 241881, 2024 - L. Polson, N. Karaktsanis, C. Uribe, A. Rahmim
PyTomography: Advancements in AI-Based Image Reconstructions
J. Nucl. Med., vol. 65 (suppl. 2): 242424, 2024 - L. Polson, N. Karaktsanis, C. Uribe, A. Rahmim
PyTomography: Advancements in List-mode and Time-of-Flight PET Image Reconstruction
J. Nucl. Med., vol. 65 (suppl. 2): 242539, 2024 - C. Li, L. Polson, C. Miller, C. Uribe, A. Rahmim
Optical Surface Information-Based Respiratory Phase-Sorting for SPECT Imaging: A Simulation Study
J. Nucl. Med., vol. 65 (suppl. 2): 241090, 2024 - C. Li, L. Polson, C. Uribe, A. Rahmim
A respiratory-motion-incorporated 4D reconstruction method for gated SPECT based on PyTomography
J. Nucl. Med., vol. 65 (suppl. 2): 241104, 2024 - S. Kurkowska, J. Brosch-Lenz, P. L. Esquinas, A. Toosi, L. Polson, A. Rahmim, F. Benard, C. F. Uribe
PyTheranostics: a Novel Software Tool to Accelerate Research in Personalized Theranostics with Preclinical and Clinical Dosimetry
J. Nucl. Med., vol. 65 (suppl. 2): 242469, 2024 - S. Kurkowska, N. Colpo, C. Dellar, W. Parulekar, F. Saad, K. Chi, K. Zukotynski, J. Beauregard, F. Benard, C. F. Uribe
Calibration Procedures for Multi-Center Dosimetry Studies with 177Lu Radiopharmaceuticals: Experience from the Canadian Cancer Trial Group PR.21 Trial (NCT 04663997)
J. Nucl. Med., vol. 65 (suppl. 2): 242512, 2024 - S. Kurkowska, J. Brosch-Lenz, E. Frey, Y. K. Dewaraja, J. Sunderland, C. F. Uribe
Impact of Fitting Functions on Time-Integrated Activities Estimates for 177Lu-DOTATATE Therapy – Results from SNMMI 177Lu Dosimetry Challenge
J. Nucl. Med., vol. 65 (suppl. 2): 242484, 2024 - S. Kurkowska, E. Frey, Y. K. Dewaraja, J. Sunderland, C. F. Uribe
Impact of Segmentation Methods on Healthy Organ and Tumor Activity Estimates for 177Lu-DOTATATE Therapy – Results from SNMMI 177Lu Dosimetry Challenge
J. Nucl. Med., vol. 65 (suppl. 2): 242502, 2024 - N. Aghakhanolia, A. Sanaat, F. Yousefirizi, A. Toosi, H. Zaidi, A. Rahmim
Prediction of Standard-Dose Brain 18F-Flortaucipir PET Images via Implicit Neural Networks
J. Nucl. Med., vol. 65 (suppl. 2): 242454, 2024 - *M. Sabouri, *A. Toosi, G. Hajianfar, M. Javad Yasemi, M. Edalat-Javid, S. Valavi, A. Bitarafan Rajabi, I. Shiri, H. Zaidi, C. Uribe, A. Rahmim (*co-first-authors)
SPECT Myocardial Perfusion Imaging Projection Generation: A Dual Approach Utilizing DDPM and CNN, and Comparative Analysis on Dual-Domains
J. Nucl. Med., vol. 65 (suppl. 2): 242527, 2024 - M. Sabouri, O. Gharibi, G. Hajianfar, Z. Hosseini, Z. Akbari, F. Yousefirizi, A. Bitarafan-Rajabi, H. Zaidi, I. Shiri, A. Rahmim
AI-based Cardiac Resynchronization Therapy Response Evaluation Using Quantitative SPECT Features
J. Nucl. Med., vol. 65 (suppl. 2): 242326, 2024 - M. Sabouri, A. Haddadi Avval, S. Bagheri, A. Asadzadeh, M. Sehati, M. Mogharrabi, M. Arefnia, F. Yousefirizi, G. Hajianfar, H. Zaidi, A. Rahmim
Machine Learning and Radiomics-based Classification of Thyroid Disease Using 99mTc-Pertechnetate Scintigraphy
J. Nucl. Med., vol. 65 (suppl. 2): 242315, 2024 - E. Mollaheydar, H. Ahn, B. Saboury, A. Rahmim, E. Cytrynbaum
Spatiotemporal kinetic modeling of radiopharmaceutical therapies at cellular resolution in heterogeneous tumors
J. Nucl. Med., vol. 65 (suppl. 2): 242405, 2024 - O. K. Dzikunu, L. Polson, M. Sabouri, S. Ahamed, A. Rahmim, C. Uribe
PyTomography-Powered 3D Slicer Extension: A fast and easy way for image reconstruction
J. Nucl. Med., vol. 65 (suppl. 2): 242530, 2024 - O. K. Dzikunu, S. Ahamed, A. Toosi, S. Harsini, F. Bénard, C Uribe, A. Rahmim
A 3D UNet for automated metastatic lesions detection and segmentation from PSMA-PET images of patients with biochemical recurrence prostate cancer
J. Nucl. Med., vol. 65 (suppl. 2): 242504, 2024 - I. Martin, C. Ansel, A. Wurzer, C. Miller, K. Kasch, A. Rahmim, F. Benard, C. Uribe, J. Brosch-Lenz
Quantitative imaging of microscopic distributions of 225Ac-PSMA in a murine model for dosimetry at the cellular level
J. Nucl. Med., vol. 65 (suppl. 2): 242369, 2024 - A. Akhavanallaf, A. Peterson, J. Blakkisrud, G. Kayal, N. Lafreniere, S. Kurkowska, S. Yadav, N. Cole, C. Uribe, A. Stokke, K. Sjogreen Gleisner, J-M. beauregard, T. Hope, A. Rahmim, K Kit Wong, Y. Dewaraja
Prediction of 177Lu-PRRT Kidney Absorbed Doses from Pretherapy SSTR-PET: Findings from Multicenter Data
J. Nucl. Med., vol. 65 (suppl. 2): 241988, 2024 - M. Rezaeian, A. Naseri, D. Liu, M. Soltani, A. Rahmim
In Silico Computational Fluid Dynamics Modeling of Yttrium-90 Microspheres Targeting Liver Tumors
J. Nucl. Med., vol. 65 (suppl. 2): 241756, 2024 - F. Eydi, A. Piranfar, B. Saboury, A. Rahmim, M. Soltani
Investigation of Key Transport Parameters Impacting 177Lu-PSMA Therapy: Computational Modeling of Solid Tumors Integrating Microvasculature
J. Nucl. Med., vol. 65 (suppl. 2): 242191, 2024 - A. Fathi Jouzdani, A. Abootorabi, M. Rajabi, F. Panahabadi, A. Gorji, N. Sanati, A. M. Ahmadzadeh, A. Mousavi, L. Bonnie, C. Ho, R. Yuan, A. Rahmim, M. R. Salmanpour
Impact of Clinical Features Combined with PET/CT Imaging Features on Survival Prediction of Outcome in Lung Cancer
J. Nucl. Med., vol. 65 (suppl. 2): 242130, 2024 - A. Gorji, A. Fathi Jouzdani, A. Abootorabi, F. Panahabadi, M. Rajabi, N. Sanati, A. M. Ahmadzadeh, A. Mousavi, A. Rahmim, M. R. Salmanpour
Unveiling the Black Box: A Synergistic Exploration of Deep Learning Features in Relation to Radiomics and Clinical Information for Enhanced Interpretability in Medical Imaging
J. Nucl. Med., vol. 65 (suppl. 2): 242134, 2024 - I. Alberts, S. Xue, …, A. Rahmim, T. Pyka, A. Rominger
Long-axial field-of-view PET/CT results in improved radiomics feature reliability
J. Nucl. Med., vol. 65 (suppl. 2): 242453, 2024 - Q. de Bourbon, S. Ahamed, A. Rahmim, P. Blanc-Durand, R. Klein
Characterizing the limits of lesion detection by AI using synthetic lesions
J. Nucl. Med., vol. 65 (suppl. 2): 242549, 2024 - N. A. Karakatsanis, D. Atkinson, …, L. Polson, A. Rahmim, …, K. Thielemans
Usability of PETSIRD, the PET Raw Data open format of the Emission Tomography Standardization Initiative (ETSI): results from ETSI's first hackathon
J. Nucl. Med., vol. 65 (suppl. 2): 241285, 2024 - N. A. Karakatsanis, F. Yousefirizi, A. Jha, L. Monaco, T. Bradshaw, I. Buvat, R. Boellaard, A. Rahmim
An Initiative of the SNMMI AI Task Force for an Online Database of Shareable AI Models in Nuclear Medicine and Molecular Imaging to Raise Awareness and Promote Reproducibility, Training Diversification and Adoptability
J. Nucl. Med., vol. 65 (suppl. 2): 241288, 2024 - T. Yusufaly, E. Roncali, C. Uribe, …, B. Saboury, A. Rahmim
Computational Nuclear Oncology for Precision Radiopharmaceutical Therapies
J. Nucl. Med., vol. 65 (suppl. 2): 241561, 2024 - B. Saboury, J. Brosch-Lenz, M. Morris, F. Farhadi, E. Veziroglu, P. Alvarez, A. Rahmim, M. Ghesanni, E. Siegel
Heptathlon of Sustainable Meaningful Access to RadioPharmaceutical Therapy (RPT 3.0)
J. Nucl. Med., vol. 65 (suppl. 2): 241904, 2024 - L. Polson et al.
PyTomography: A GPU-accelerated Python Library for Medical Image Reconstruction
Proc. SIAM Conference on Imaging Science, 2024
2023
- M. R. Salmanpour, I. Shiri, M. Hosseinzadeh, H. Zaidi, S. Ashrafinia, M. Oveisi, A. Rahmim
ViSERA: Visualized & Standardized Environment for Radiomics Analysis - A Shareable, Executable, and Reproducible Workflow Generator
Proc. IEEE Medical Imaging Conference, 2023 - S. Ahamed, Y. Xu, R. Dodhia, W. B. Weeks, J. L. Ferres, A. Rahmim
Towards an Automated Segment Anything Model (SAM) for Lesion Segmentation in Oncological PET/CT Images
Proc. IEEE Medical Imaging Conference, 2023 - F. Yousefirizi, S. Amiri, B. Ibragimov, C. Gowdy, C. Uribe, A. Rahmim
Test-Time Augmentation Towards Improved Cross-Center PET/CT Segmentations by the Swin UNETR
Proc. IEEE Medical Imaging Conference, 2023 - H. Abdollahi, A. Fele-Paranj, B. Saboury, C. Uribe, A. Rahmim
Radiobiological-guided radiopharmaceutical therapy: Radiopharmacokinetic parameter optimization using PBPK modeling
Proc. IEEE Medical Imaging Conference, 2023 - L. Polson, R. Fedrigo, M. Sabouri, O. Dzikunu, S. Ahamed, A. Rahmim, C. Uribe
PyTomography: A GPU-accelerated, Open-source Python Library for Image Reconstruction
Proc. IEEE Medical Imaging Conference, 2023 - A. Gorji, M. Hosseinzadeh, A. Fathi Jouzdani, N. Sanati, F. Yousefirizi, S. Moore, B. Leung, C. Ho, I. Shiri, H. Zaidi, A. Rahmim, M.R. Salmanpour
Region-of-Interest and Handcrafted vs. Deep Radiomics Feature Comparisons for Survival Outcome Prediction: Application to Lung PET/CT Imaging
Proc. IEEE Medical Imaging Conference, 2023 - K. Thielemans, A. Kesner, E. Asma, J. Cabello, M. Cook, M. Hansen, J. Jones, N. A. Karakatsanis, E. K.S. Leung, P. Markiewicz, S. Prevrhal, A. Rahmim, B. Saboury, J. Stairs, S. Stute, H. Tashima, G. Wells
Towards a standard for PET raw data
Proc. IEEE Medical Imaging Conference, 2023 - O. Gharibi, M. Sabouri, G. Hajianfar, M. Mohebi, M. Amini, S. Bagheri, F. Arian, M.J. Yasemi, A. Bitarafan-Rajabi, H. Zaidi, A. Rahmim, I. Shiri
Maximizing the Predictive Power of Radiomic Features in SPECT Images: A Comparative Study of Reconstruction Algorithms Using Machine Learning
Proc. IEEE Medical Imaging Conference, 2023 - M. Amini, Y. Salimi, M. Sabouri, G. Hajianfar, A. Sanaat, E. Hervier, I. Mainta, A. Rahmim, I. Shiri, H. Zaidi
Auto-PET-IQA: A Fully Automated Region-Specific PET Image Quality Assessment Tool
Proc. IEEE Medical Imaging Conference, 2023 - A. Fele-Paranj, C. Uribe, F. Benard, A. Rahmim, B. Saboury
Theranostic digital blueprint predicts higher therapeutic efficacy using radiopharmaceuticals with higher albumin affinity
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S40, 2023 - C. Miller, X. Hou, J. Brosch-Lenz, A. Rahmim, C. Uribe
Image quantification and quality assessment of dual-isotope 99mTc and 177Lu SPECT for bone marrow dosimetry: a simulation study
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S191, 2023 - A. Toosi, S. Harsini, H. Abdollahi, F. Bénard, C. F. Uribe, A. Rahmim
Exploring correlations between PSA levels and PSMA-PET images in recurrent prostate cancer using machine learning, tensor radiomics and deep features analysis
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S543, 2023 - J. Brosch-Lenz, N. Colpo, I. Bloise, X. Hou, W. R. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, F. Bénard, A. Rahmim, C. Uribe
Can pre-therapy 68Ga-PSMA-11 PET SUVs predict absorbed doses across multiple cycles of 177Lu-PSMA-617 therapy of mCRPC patients?
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S324, 2023 - S. Ahamed, C. Uribe, A. Rahmim
Estimating the tumor localization performance via class-activation map explanations of a slice classification neural network without pixel-Level supervision
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S322, 2023 - L. Polson, R. Fedrigo, C. Uribe, A. Rahmim
Assessing the efficacy of the relative difference prior for SPECT dosimetry
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S284, 2023 - K. Thielemans, A. L. Kesner, E. Asma, J. Cabello, M. J. Cook, M. Hansen, J. Jones, N. A. Karakatsanis, E. K. Leung, P. Markiewicz, S. Prevrhal, A. Rahmim, B. Saboury, J. Stairs, S. Stute, H. Tashima, G. Wells
An academic/industrial PET raw data standardisation initiative
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S11, 2023 - R. Danieli, M. Stella, C. Marin, J. Tran Gia, J. Leube, C. Uribe-Munoz, M. Hesse, H. Levillain, B. Vanderlinden, N. Reynaert, P. Flamen
Quantitative 177Lu SPECT/CT imaging with a ring-shaped CZT-based camera: 208 vs 113 keV photopeak
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S286, 2023 - F. Yousefirizi, C. Gowdy, I. Klyuzhin, K. Savage, C. Uribe, A. Rahmim
Utility of delta radiomics for response evaluation in primary mediastinal large B-cell lymphoma
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S718, 2023 - H. Abdollahi, X. Hou, J. Beauregard, C. Uribe, A. Rahmim
Radiomics analysis in 177Lu-DOTATATE therapy: Extracting new information from theranostic images
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S648, 2023 - J. Brosch-Lenz, N. Colpo, I. Bloise, X. Hou, W. R. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, F. Bénard, A. Rahmim, C. Uribe
Absorbed dose prediction for subsequent therapy cycles from 1st cycle of 177Lu-PSMA-617 therapy of mCRPC patients
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S179, 2023 - R. Fedrigo, L. Polson, C. Li, S. Harsini, I. Bloise, J. Brosch-Lenz, B. Saboury, F. Bénard, A. Rahmim, C. Uribe
Semiautomatic segmentation for tumour dosimetry in PSMA radiopharmaceutical therapy using a novel digital twins framework
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S365, 2023 - R. Fedrigo, J. Tran-Gia, J. Brosch-Lenz, P. Petric, L. Fougner, K. Sabo, R. Ralea, S. Harsini, I. Bloise, J.M. Beauregard, F. Bénard, A. Rahmim, C. Uribe
Implementation of an 18F PET / 177Lu SPECT Phantom Study for Personalized Theranostics in PSMA Radiopharmaceutical Therapies
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S368, 2023 - N. Reshtebar, S. Hosseini, A. Rahmim, P. Sheikhzadeh
Quantitative analysis of dual time point in FDG PET/CT images
Eur. J. Nucl. Med. Mol. Imaging, vol. 50 (suppl. 1): S277, 2023 - X. Hou, N. Colpo, I. Blouse, J. Brosch-Lenz, W. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, A. Rahmim, F. Benard, C. Uribe
Impact of blood kinetics fittings and simplification methods on bone marrow dosimetry for 177Lu-PSMA-617: Early experience from the Canadian Cancer Trials Group PR21 trial (NCT 04663997)
J. Nucl. Med., vol. 64 (suppl. 1): 1162, 2023 - X. Hou, N. Colpo, I. Blouse, J. Brosch-Lenz, W. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, A. Rahmim, F. Benard, C. Uribe
Comparison of blood-based, image-based, and whole-body skeleton-based bone marrow dosimetry in 177Lu-PSMA-617 Radiopharmaceutical Therapies
J. Nucl. Med., vol. 64 (suppl. 1): 1175, 2023 - F. Yousefirizi, I. Klyuzhin, K. Girum, C. Uribe, I. Buvat, A. Rahmim
Federated testing of AI techniques: Towards sharing of implementations, not just code
J. Nucl. Med., vol. 64 (suppl. 1): 1482, 2023 - J. Brosch-Lenz, N. Colpo, I. Blouse, X. Hou, W.R. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, F. Benard, A. Rahmim, C. Uribe
Can we use pre-therapy PSMA PET/CT as a predictor for Lutetium-177-PSMA-617 therapy? Early experience from the Canadian Cancer Trials Group PR21 trial (NCT 04663997)
J. Nucl. Med., vol. 64 (suppl. 1): 985, 2023 - N. Zakariaei, A. Fele-Paranj, H. Abdollahi, A. Rahmim
Using the cluster gauss newton algorithm to estimate theranostic pharmacokinetic model parameters
J. Nucl. Med., vol. 64 (suppl. 1): 1449, 2023 - R. Fedrigo, L. Polson, C. Li, P. Segars, S. Harsini, J. Brosch-Lenz, A. Rahmim, C. Uribe
Development of theranostic digital twins framework to perform quantitative image analysis of radiopharmaceutical distributions
J. Nucl. Med., vol. 64 (suppl. 1): 122, 2023 - H. Koniar, L. Wharton, A. Ingham, A. P. Morales Oliver, C. Rodriguez-Rodriguez, P. Kunz, V. Radchenko, H. Yang, A. Rahmim, C. Uribe, P. Schaffer
Dosimetry considerations for preclinical Ac-226 radiopharmaceutical development as a novel theranostic isotope
J. Nucl. Med., vol. 64 (suppl. 1): 107, 2023 - M. Amin Abazari, M. Soltani, F. Moradi Kashkooli, A. Rahmim
Effect of heterogeneous capillary networks in solid tumors on standardized 18F-FMISO uptake values: A novel spatiotemporal mode
J. Nucl. Med., vol. 64 (suppl. 1): 814, 2023 - K. Thielemans, M. J. Cook, M. Hansen, J. Jones, N. A. Karakatsanis, A. L. Kesner, E. K. Leung, P. Markiewicz, S. Prevrhal, A. Rahmim B. Saboury, J. Stairs, R. G. Wells
The PET raw data standardization initiative
J. Nucl. Med., vol. 64 (suppl. 1): 687, 2023 - A. Rahmim, H. Abdollahi, A. Fele-Paranj, K-N. Lee, B. Saboury, C. Uribe
Towards non-tracer kinetic modeling: Our past returning through the future
J. Nucl. Med., vol. 64 (suppl. 1): 1447, 2023 - X. Hou, J. Brosch-Lenz, B. Saboury, A. Rahmim, F. Benard, C. Uribe
The impact of the microscopic distributions of red and yellow marrow within the skeletal spongiosa structure on bone marrow dosimetry: A Monte-Carlo simulation study
J. Nucl. Med., vol. 64 (suppl. 1): 1128, 2023 - F. Yousefirizi, S. Harsini, C. Holloway, P. Tonseth, A. Alexander, B. Saboury, C. Uribe, A. Rahmim
Pretreatment 18F-FDG PET/CT radiomics predict recurrence in patients treated with radiotherapy for cervical cancer
J. Nucl. Med., vol. 64 (suppl. 1): 1248, 2023 - A. Toosi, S. Harsini, F. Benard, C. Uribe, A. Rahmim
Advanced deep learning-based lesion detection on rotational 2D maximum intensity projection (MIP) images coupled with reverse mapping to the 3D PET domain
J. Nucl. Med., vol. 64 (suppl. 1): 1438, 2023 - M. R. Salmanpour, M. Hosseinzadeh, S. M. Rezaeijo, S. Ashrafinia, A. Rahmim
ViSERA: Visualized & standardized environment for radiomics analysis
J. Nucl. Med., vol. 64 (suppl. 1): 1131, 2023 - M. R. Salmanpour, M. Hosseinzadeh, N. Sanati, A. Fathi Jouzdani, A. Gorji, A. Mahboubi, M. Maghsudi, S. M. Rezaeijo, S. Moore, B. Leung, C. Uribe, C. Ho, A. Rahmim
Tensor deep versus Radiomics features: lung cancer outcome prediction using hybrid machine learning systems
J. Nucl. Med., vol. 64 (suppl. 1): 1174, 2023 - M. R. Salmanpour, M. Iranpour, M. Hosseinzadeh, S. M. Rezaeijo, A. Rahmim
Prediction of TNM stage in head and neck cancer using tensor deep vs. Radiomics features
J. Nucl. Med., vol. 64 (suppl. 1): 1598, 2023 - S. Ahamed, Y. Xu, I. Shiri, J. H. O, F. Yousefirizi, C. F. Uribe, W. B. Weeks, R. Dodhia, J. L. Ferres, F. Bénard, A. Rahmim
A study of classification neural networks trained on axial, coronal and sagittal PET/CT slices and their weighted ensembles
J. Nucl. Med., vol. 64 (suppl. 1): 1357, 2023 - S. Ahamed, Y. Xu, W. B. Weeks, R. Dodhia, J. L. Ferres, A. Rahmim
Towards enhanced lesion segmentation using a 3D neural network trained on multi-resolution cropped patches of lymphoma PET images
J. Nucl. Med., vol. 64 (suppl. 1): 1360, 2023 - L. Polson, R. Fedrigo, C. Li, A. Rahmim, C. Uribe
PyTomography: A novel software for rapid reliable tomographic reconstruction
J. Nucl. Med., vol. 64 (suppl. 1): 1413, 2023 - R. Fedrigo, C. Coope, J. K. Cheng, C. English, L. Polson, V. Sossi, A. Rahmim, J. Sunderland, F. Benard, C. Uribe
Towards harmonized 18F-PSMA PET imaging: Design and early results from a multi-center, multi-vendor phantom study
J. Nucl. Med., vol. 64 (suppl. 1): 533, 2023 - K. N. Lee, A. Rahmim, C. Uribe
Novel kinetic micro-parameter estimation from dynamic whole-body PET images
J. Nucl. Med., vol. 64 (suppl. 1): 1428, 2023 - A. Fele-Paranj, C. Uribe, H. Abdollahi, E. Mollaheydar, N. Zakariaei, M. S. Rahim Siddiqui, B. Saboury, A. Rahmim
In silico investigation of the effect of multi-bolus injections in absorbed doses to organs and tumors in radiopharmaceutical therapies
J. Nucl. Med., vol. 64 (suppl. 1): 1422, 2023 - M. Obaid, A. Rahmim, W. P. Segars, J. Brosch-Lenz, C. Uribe
Computing S-values for bone-marrow dose estimation in rodents
J. Nucl. Med., vol. 64 (suppl. 1): 1194, 2023 - S. M. Rezaeijo, A. Mahboubisarighieh, S. Jafarpoor Nesheli, H. Shaverdi, M. Hosseinzadeh, I. Hacihaliloglu, A. Rahmim, M. R. Salmanpour
Use of deep image-to-image translations to assess complementarity of imaging modalities: application to PET and CT images in head and neck cancer
J. Nucl. Med., vol. 64 (suppl. 1): 1585, 2023 - S. Kalayinia, G. Hajianfar, T. Talebi, S. Samanian, M. Hosseinzadeh, M. Maleki, A. Rahmim, M. R. Salmanpour
Prediction of Parkinson’s disease pathogenic variants via semi-supervised hybrid machine learning systems, clinical information and Radiomics features
J. Nucl. Med., vol. 64 (suppl. 1): 1154, 2023 - A. Gorji, A. Fathi Jouzdani, N. Sanati, M. Hosseinzadeh, A. Mahboubisarighieh, S. M. Rezaeijo, M. Maghsudi, S. Moore, B. Leung, C. Uribe, C. Ho, A. Rahmim, M. R. Salmanpour
PET-CT fusion based outcome prediction in lung cancer using deep and handcrafted radiomics features and machine learning
J. Nucl. Med., vol. 64 (suppl. 1): 1196, 2023 - R. D. Schaetzen, Y. Farag, G. Chaussé, A. Rahmim, F. Yousefirizi, C. Uribe
A fully automated method for prostate segmentation in PSMA PET/CT scans
J. Nucl. Med., vol. 64 (suppl. 1): 1193, 2023 - A. Golzaryan, M. Soltani, F. Moradi Kashkooli, C. Uribe, A. Rahmim
In silico study quantifying the effects of reducing salivary gland blood flow on tumor to organ-at-risk absorbed dose ratios
J. Nucl. Med., vol. 64 (suppl. 1): 619, 2023 - M. Amin Abazari, F. Eydi, M. Soltani, F. Moradi Kashkooli, A. Rahmim
Spatiotemporal model to determine key transport mechanisms of the 18F-FMISO PET radiopharmaceutical within solid tumors
J. Nucl. Med., vol. 64 (suppl. 1): 661, 2023 - A. Piranfar, M. Soltani, F. Moradi Kashkooli, W. Zhan, A. Bhandari, A. Rahmim
177Lu-PSMA-617 transport in solid tumors via a 3D image-based spatio-temporal model
J. Nucl. Med., vol. 64 (suppl. 1): 811, 2023 - Y. Salimi, Z. Mansouri, A. Akhavan, I. Shiri, E. P. Andrade Teixeira, X. Hou, J-M. Beauregard, A. Rahmim, H. Zaidi
Automatic axial range selection on the CT localizer to remove unused SPECT/CT slices: Application to serial imaging in radiopharmaceutical therapy
J. Nucl. Med., vol. 64 (suppl. 1): 1102, 2023 - M. S. Azimi, A. Kamali-Asl, M. Ay, F. Khorshidi, M. Sadat Hosseini, Y. Moafpourian, H. Arabi, A. Rahmim, H. Zaidi
Evaluation of deep-learning based partial volume correction of PET images not utilizing anatomical information
J. Nucl. Med., vol. 64 (suppl. 1): 971, 2023 - M. S. Azimi, A. Kamali-Asl, M. Ay, F. Khorshidi, M. Sadat Hosseini, H. Arabi, A. Rahmim, H. Zaidi
Reproducibility of radiomics features in partial volume correction of PET images
J. Nucl. Med., vol. 64 (suppl. 1): 994, 2023 - J. Brosch-Lenz, B. Saboury, A. Rahmim, C. Uribe
Why we should move beyond the 23 Gray limit for kidney absorbed dose
J. Nucl. Med., vol. 64 (suppl. 1): 939, 2023 - H. Abdollahi, B. Saboury, C. Uribe, A. Rahmim
It is the matter of time: highlighting the difference between biological effect of continuous versus fractionated radiation to improve optimization of radiopharmaceutical therapy
J. Nucl. Med., vol. 64 (suppl. 1): 1460, 2023 - H. Abdollahi, C. Uribe, A. Rahmim, B. Saboury
Radiobiology of alpha and beta particles in radiopharmaceutical therapy: what to unlearn from external beam radiotherapy
J. Nucl. Med., vol. 64 (suppl. 1): 1468, 2023 - H. Abdollahi, B. Saboury, C. Uribe, A. Rahmim
Linear quadratic model in radiopharmaceutical therapies: Need for revisiting concepts and new models
J. Nucl. Med., vol. 64 (suppl. 1): 1465, 2023 - E. Mollaheydar, C. Uribe, M. Soltani, B. Saboury, A. Rahmim
Bridging mathematics to cancer from a multiscale perspective: A primer for nuclear medicine practitioners
J. Nucl. Med., vol. 64 (suppl. 1): 1415, 2023 - T. Yusufaly, E. Roncali, L. Strigari, J. Brosch-Lenz, G. El Fakhri, P. Heidari, A. Jha, Q. Li, H. McMeekin, M. Morris, P. Scott, H. Zaidi, A. Rahmim, B. Saboury, C. Uribe
Multiscale dosimetric and radiobiological modeling for radiopharmaceutical therapy (RPT), Part 1: Clinical overview and motivating examples
J. Nucl. Med., vol. 64 (suppl. 1): 358, 2023 - E. Roncali, T. Yusufaly, C. Uribe, A. Jha, L. Strigari, J. Brosch-Lenz, G. El Fakhri, H. McMeekin, H. Zaidi, A. Rahmim, B. Saboury
Multiscale bio-dosimetry for dose-response modeling in radiopharmaceutical therapy (RPT), Part 2: Concepts, methods and computational tools
J. Nucl. Med., vol. 64 (suppl. 1): 508, 2023 - C. Uribe, E. Roncali, L. Strigari, J. Brosch-Lenz, A. Rahmim, B. Saboury, T. Yusufaly
Multiscale dosimetric and radiobiological modeling for radiopharmaceutical therapy (RPT), Part 3: Considerations at different temporal scales
J. Nucl. Med., vol. 64 (suppl. 1): 463, 2023 - L. Strigari, E. Roncali, T. Yusufaly, J. Brosch-Lenz, G. El Fakhri, P. Heidari, A. Jha, Q. Li, H. McMeekin, M. Morris, P. Scott, H. Zaidi, C. Uribe, A. Rahmim, B. Saboury
Multiscale dosimetric and radiobiological modeling for radiopharmaceutical therapy (RPT), Part 4: digital twins for optimized RPT and their ethical and regulatory dimensions
J. Nucl. Med., vol. 64 (suppl. 1): 451, 2023 - H. Koniar, S. McNeil, L. Wharton, A. Ingham, M. Van de Voorde, M. Ooms, S. Sekar, C. Rodriguez-Rodriguez, P. Kunz, V. Radchenko, A. Rahmim, C. Uribe, H. Yang, P. Schaffer
Performance assessment of quantitative preclinical SPECT imaging with 155Tb and 161Tb
Proc. 25th International Symposium of Radiopharmaceutical Sciences (iSRS), Honolulu, Hawaii, 2023 - H. Koniar, A. Ingham, L. Wharton, C. Rodriguez-Rodriguez, P. Kunz, V. Radchenko, H. Yang, A. Rahmim, C. Uribe, P. Schaffer
In vivo actinium-226 SPECT imaging for preclinical theranostic radiopharmaceutical development
Proc. 12th International Symposium on Targeted Alpha Therapy, Cape Town, South Africa, 2023 - M. R. Salmanpour, G. Hajianfar, M. Hosseinzadeh, S. M. Rezaeijo, M. M. Hosseini, E. Kalatehjari, A. Harimi, A. Rahmim
Deep learning and machine learning techniques for automated PET/CT segmentation and survival prediction in head and neck cancer
Lect. Notes Comp. Sci., vol. 13626, pp. 230-239, 2023 - S. Ahamed, L. Polson, A. Rahmim
A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images
Lect. Notes Comp. Sci., vol. 13626, pp. 94-106, 2023 - R. Fedrigo, F. Yousefirizi, Z. Liu, A. K. Jha, R. V. Bergen, J. Rajotte, R. T. Ng, I. Blouse, S. Harsini, D. J. Kadrmas, C. Uribe, A. Rahmim
Observer study-based evaluation of TGAN architecture used to generate oncological PET images (arXiv)
Proc. SPIE. 12467, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, 202-208 - F. Yousefirizi, J. H. O, I. Bloise, A. Toosi, C. F. Uribe, A. Rahmim
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging
Proc. SPIE. 12464, Medical Imaging 2023: Image Processing, 756-761 - A. Toosi, S. Harsini, S. Ahamed, F. Yousefirizi, C. F. Uribe, A. Rahmim.
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: Use of rotational maximum intensity projection (MIP) images
Proc. SPIE. 12464, Medical Imaging 2023: Image Processing, 771-778 - S. Ahamed, Y. Xu, I. Bloise, J. H. O, C. F. Uribe, R. Dodhia, J. L. Ferres, A. Rahmim
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Proc. SPIE. 12464, Medical Imaging 2023: Image Processing, 393-402 - L. Polson, I. Klyuzhin, R. Yuan, M. Martini, I. Shiri, H. Zaidi, C. Uribe, A. Rahmim
Clinician-interactive AI for RECIST measurements in CT imaging
Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 780-784
2022
- A. Rahmim, A. Toosi, M. Salmanpour, N. Dubljevic, I. Janzen, I. Shiri, M. Ramezani, R. Yuan, C. Ho, H. Zaidi, C. MacAulay, C. Uribe, F. Yousefirizi
Tensor radiomics: Paradigm for systematic incorporation of multi-flavoured radiomics features
Proc. IEEE Medical Imaging Conference, 2022 - F. Yousefirizi, C. Uribe, A. Rahmim
Curriculum learning for improved tumor segmentation in PET imaging
Proc. IEEE Medical Imaging Conference, 2022 - I. Shiri, Y. Salimi, M. Maghsudi, G. Hajianfar, ..., F. Benard, C. Uribe, A. Rahmim, H. Zaidi
Deep adaptive transfer learning model for site-specific PET attenuation and scatter correction in multi-national/institutional dataset
Proc. IEEE Medical Imaging Conference, 2022 - P. Moradi, Y. Bouchareb, H. Al-Dhuhli, I. Shiri, F. Al-Kindi, H. Zaidi, A. Rahmim
A novel diagnosis and severity prediction ML-based model: Application to the identification and prediction of COVID-19 from CT radiomic features
Physica Medica vol. 104: S77, 2022 - P. Huang, P. B Illei, ..., A. Rahmim, ..., E. Gabrielson, S. Lam
An integrated deep learning method to predict lung cancer recurrence risk for resected stage IA NSCLC
J. Thoracic Oncology, vol. 17, S50-S51, 2022 - C. Uribe, N. Colpo, J. Brosch-Lenz, C. Dellar, W. Parulekar, F. Saad, K. Chi, K. Zukotynski, J. Beauregard, F. Benard
Calibration procedures for multi-centre dosimetry studiess with 177Lu radiopharmaceuticals: early experience from the Canadian cancer trial group PR.21 trial (NCT 04663997)
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S186, 2022. - M. R. Salmanpour, M. Hosseinzadeh, M. Ramezani, S. M. Rexaeijo, A. Rahmim
Reliable and reproducible tensor radiomics features in prediction of survival in head and neck cancer
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S20, 2022. - M. R. Salmanpour, M. Ramezani, S. Marandi, M. Hosseinzadeh, S. M. Rezaeijo, A. Rahmim
Deep versus handcrafted tensor radiomics features: application to survival prediction in head and neck cancer
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S245, 2022. - A. Fathi Jouzdani, A. Gorji, M. Hosseinzadeh, A. Rahmim, M. R. Salmanpour
Prediction of cognitive decline in Parkinson's disease using deep and handcrafted radiomics features
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S195, 2022. - H. Koniar, C. Miller, A. Rahmim, P. Schaffer, C. Uribe
Cellular dosimetry from the 225AC decay chain: impact of progeny internalization and migration
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S207, 2022. - N. Shakouifar, M. Soltani, F. Moradi Kashkooli, B. Saboury, A. Rahmim
Effect of tumor receptor density on time integrated activity of radiopharmaceutical therapy in tumors via physiologically based pharacokinetic modeling
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S209, 2022. - J. Brosch-Lenz, X. Hou, I. Bloise, N. Colpo, W. R. Parulekar, C. Dellar, F. Saad, K. Chi, D. Wilson, F. Benard, A. Rahmim, C. Uribe
Assessing the impact of dosimetry method on healthy organ and lesion absorbed dose estimates for 177Lu-PSMA-617 therapy of prostate cancer: early experience from the Canadian cancer trials group of PR21 trial (NCT 04663997)
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S394, 2022. - J. Brosch-Lenz, A. Rahmim, J. Sunderland, E. Frey, Y.K. Dewaraja, C. Uribe
Impact of dosimetry method on organ and tumor absorbed dose estimates for lutetium-177-DOTATATE therapy of neuroendoctrine tumors
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S393, 2022. - A. Fele-Paranj, C. Uribe, B. Saboury, A. Rahmim
Open-source, modular, high-computational-throughput physiologically based pharmacokinetics (PBPK) modeling fine-tuned for optimization of radiopharmaceutical therapy
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S398, 2022. - A. Golzaryan, M. Soltani, F. M. Kashkooli, B. Saboury, A. Rahmim
Impact of metronomic radiopharmaceutical therapy on tumor and organ-at-risk absorbed doses: a PBPK modeling approach
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S392, 2022. - R. Fedrigo, G. Chausse, R. Coope, F. Benard, A. Rahmim, C. Uribe
Characterization of salivary gland uptake and volume in PSMA PET imaging: novel phantom study approach
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S603, 2022. - R. Fedrigo, D. J. Kadrmas, R. Coope, F. Benard, A. Rahmim, C. Uribe
Impact of regularized reconstruction on image quality of metastases in PSMA PET images
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S608, 2022. - T. Zare, P. Sheikhzadeh, A. Rahmim, B. Teimourian Fard, P. Ghafarian, M. R. Ay
Optimization of time coincidence window and energy window for dedicated brain PET: a simulation study
Eur. J. Nucl. Med. Mol. Imaging, vol. 49 (suppl. 1): S959, 2022. - C. Uribe, J. Brosch-Lenz, A. Peterson, B. Van, R. Fedrigo, J. Carlson, J. Sunderland. E. Frey, Y. Dewaraja
Variability in dosimetry calculations: An analysis of the results submitted to the SNMMI Lu-177 dosimetry challenge
J. Nucl. Med., vol. 63 (suppl. 2): 2351, 2022 - J. Brosch-Lenz, A. Delker, L. Kaiser, S. Ziegler, P. Bartenstein, A. Rahmim, C. Uribe, G. Boning
Feasibility of single time point image-based dosimetry using prior knowledge: Application to Lu-PSMA-617 and Lu-PSMA-I&T therapy of prostate cancer
J. Nucl. Med., vol. 63 (suppl. 2): 2554, 2022 - F. Yousefirizi, C. Holloway, A. Alexander, P. Tonseth, C. Uribe, A. Rahmim
Tumor segmentation of multi-centric whole-body PET/CT images from different cancers using a 3D convolutional neural network
J. Nucl. Med., vol. 63 (suppl. 2): 2517, 2022 - F. Yousefirizi, A.K. Jha, S. Ahamed, I. Bloise, J.H. O, L.H. Sehn, K.J. Savage, C. Uribe, A. Rahmim
A novel loss function for improved deep learning-based segmentation: Implications of TMTV computation
J. Nucl. Med., vol. 63 (suppl. 2): 2588, 2022 - F. Yousefirizi, S. Ahamed, J.H. O, I. Bloise, B. Saboury, A. Rahmim
Semi-supervised and unsupervised convolutional neural networks for automated lesion segmentation in PET imaging of lymphoma
J. Nucl. Med., vol. 63 (suppl. 2): 3351, 2022 - A. Toosi, G. Chausse, C. Chen, I. Klyuzhin, F. Benard, A. Rahmim
Multi-modal, multi-organ deep segmentation of salivary and lacrimal glands in PSMA PET/CT images
J. Nucl. Med., vol. 63 (suppl. 2): 2587, 2022 - M.R. Salmanpour, M. Hosseinzadeh, M. Bakhtiari, A.R. Gholami, M.M. Ghaemi, A.H. Nabizadeh, S.M. Rezaejo, A. Rahmim
Drug amount prediction in Parkinson's disease using hybrid machine learning systems and radiomics features
J. Nucl. Med., vol. 63 (suppl. 2): 2256, 2022 - C. Miller, I. Klyuzhin, G. Chausse, J. Brosch-Lenz, G. Birindelli, K. Shi, B. Saboury, A. Rahmim, C. Uribe
Assessing the impact of tumor phenotype and size on dose rates of Ac using computational modeling of tumour growth
J. Nucl. Med., vol. 63 (suppl. 2): 2346, 2022 - C. Miller, J. Brosch-Lenz, G. Chausse, A. Rahmim, C. Uribe
A novel computationally-effective absorbed dose kernel generation method for cellular dosimetry
J. Nucl. Med., vol. 63 (suppl. 2): 2345, 2022 - S. Ahamed, A. Toosi, C. Uribe, A. Rahmim, F. Yousefirizi
Towards enhanced automated tumor detection using background slice annotation methods in clinical PET imaging of lymphoma
J. Nucl. Med., vol. 63 (suppl. 2): 3346, 2022 - G. Hajanfar, S. Kalayinia, M. Hosseinzadeh, S. Samanian, M. Malek, S.M. Rezaeijo, V. Sossi, A. Rahmim, M.R. Salmanpour
Hybrid machine learning systems for prediction of Parkinson's disease pathogenic variants using clinical information and radiomics features
J. Nucl. Med., vol. 63 (suppl. 2): 2508, 2022 - R. Fedrigo, G. Chausse, F. Yousefirizi, A. Rahmim, F. Benard, C. Uribe
Feasibility of enhanced salivary gland delineation using PSMA PET imaging using a novel method to create a salivary gland phantom
J. Nucl. Med., vol. 63 (suppl. 2): 2583, 2022 - H. Koniar, C. Rodriguez-Rodriguez, V. Radchenko, H. Yang, P. Kunz, C. Uribe, A. Rahmim, P. Schaffer
SPECT imaging of Ac-226 for radiopharmaceutical development: Performance evaluation as a theranostic isotope pair for Ac-225
J. Nucl. Med., vol. 63 (suppl. 2): 2341, 2022 - I. Shiri, M. Amini, Y. Salimi, A. Saanat, A. Saberi, B. Razeghi, S. Ferowsi, A. Vafaei Sadr, S. Voloshynovskiy, D. Gunduz, A. Rahmim, H. Zaidi
Multi-institutional PET/CT image segmentation using a decentralized federated deep transformer learning algorithm
J. Nucl. Med., vol. 63 (suppl. 2): 3348, 2022 - S. Izadi, I. Shiri, C. Uribe, P. Geramifar, H. Zaidi, A. Rahmim, G. Hamarneh
Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks
J. Nucl. Med., vol. 63 (suppl. 2): 2398, 2022 - A. Bootherstone, L. Lee, L. Cristant, P. Kuo, C. Uribe, S.E. Black, K. Zukotynkki, V. Gaudet
A comparison of random forest and k-means clustering algorithms for classification of 18F-Florbetapir PET
J. Nucl. Med., vol. 63 (suppl. 2): 2608, 2022 - T. O'Briain, C. Uribe, I. Sechopoulos, K. Yi, J. Teuwen, M. Bazalova-Carter
Unsupervised learning to perform respiratory motion correction in PET imaging
J. Nucl. Med., vol. 63 (suppl. 2): 2401, 2022 - N. Jung, N. Aga, K. Selivanova, N. Colpo, M. Lu, C. Uribe
Whole Body and SPECT/CT imaging for dosimetry of 177Lu-labeled radiopharmaceutical therapies: A technologist's perspective
J. Nucl. Med., vol 63 (suppl. 2): 4103, 2022 - N. Colpo, C. Willliams, J. Brosch-Lenz, I. Bloise, A. Rahmim, F. Benard, C. Uribe
Exploring the Nuclear Medicine Technologist Role to Support Dosimetry in Radiopharmaceutical Therapies
J. Nucl. Med., vol 63 (suppl. 2): 4110, 2022 - N. Colpo, R. Bahr, C. Uribe, P. Martineau
Supplemental email instructions for FDG PET/CT scans: Investigating the impact on preparation compliance rates
J. Nucl. Med., vol 63 (suppl. 2): 4095, 2022 - N. Colpo, T. Alden, R. Bahr, P. Petric, C. Uribe
Reducing the PET technologists' radiation exposure one autoinjector at a time
J. Nucl. Med., vol. 63 (suppl. 2): 4093,2022 - X. Hou, A. Hadjivassilou, I. Klyuzhin, F. Benard, D. Liu, A. Rahmim
Prediction of liver hypertrophy in patients undergoing Y-90 radioembolization treatment
J. Nucl. Med., vol. 63 (suppl. 2): 3027, 2022 - I. Klyuzhin, H.S.H. Ahn, A. Rahmim
Selection of optimal radiomics features for tumor phenotype differentaiton using stochastic tumor growth modeling
J. Nucl. Med., vol. 63 (suppl. 2): 3178, 2022 - M.R. Salmanpour, M. Hosseinzadeh, S.M. Rezaeijo, C. Uribe, A. Rahmim
Robustness and reproducibility of radiomics features from fusions of PET-CT images
J. Nucl. Med., vol. 63 (suppl. 2): 3179, 2022 - M.R. Salmanpour, M. Hosseinzadeh, M. Bakhtiari, M.M. Ghaemi, S.M. Rezaeijo, A.H. Nabizadeh, A. Rahmim
Cognitive outcome prediction in Parkinson's disease using hybrid machine learning systems and radiomics features
J. Nucl. Med., vol. 63 (suppl. 2): 3233, 2022 - D. Du, I. Shiri, F. Yousefirizi, H. Zaidi, L. Lu, A. Rahmim
Effect of harmonization and oversampling methods on multi-center imbalanced PET datasets: Application to radiomics-based NSCLC-subtype prediction
J. Nucl. Med., vol. 63 (suppl. 2): 3166, 2022 - S. Ahamed, G. Chausse, I. Klyuzhin, A. Rahmim, F. Yousefirizi
A comparative study of tumor detection models trained on coronal versus sagittal versal axial PET imaging slices
J. Nucl. Med., vol. 63 (suppl. 2): 3245, 2022 - A. Fele-Paranj, J. Brosch-Lenz, C. Uribe, A. Rahmim, B. Saboury
Modular model architecture for radiopharmaceutical therapy planning: Physiologically-Based RadioPharmaoKinetics (PBRPK) implementation
J. Nucl. Med., vol. 63 (suppl. 2): 3197, 2022 - A. Fele-Paranj, J. Brosch-Lenz, C. Uribe, B. Saboury, A. Rahmim
Non-linearities in the transition from imaging radiotracers to therapeutic radiopharmeceuticals
J. Nucl. Med., vol. 63 (suppl. 2): 2821, 2022 - N. Shakourifar, M. Soltani, F.M. Kashkooli, J. Brosch-Lenz, B. Saboury, A. Rahmim
Effect of ligand amount and fraction of labeled peptides on internalized Lu-PSMA-I&T concentrations in tumors: Physiologically-based pharmacokinetic modeling
J. Nucl. Med., vol. 63 (suppl. 2): 2844, 2022 - R. Fedrigo, R. Coope, A. Rahmim, F. Benard, C. Uribe
Canadian PET phantom for prostate oncology (C3PO): Effect of reconstruction parameters on quantification of PSMA PET images
J. Nucl. Med., vol. 63 (suppl. 2): 3284, 2022 - R. Fedrigo, R. Coope, D.J. Kadrmas, J. Tang, I. Blouse, C. Gowdy, A. Rahmim, C. Uribe
Tumour quantification of [18F]FDG PET/CT in lymphoma using negative cast modelling
J. Nucl. Med., vol. 63 (suppl. 2): 3205, 2022 - K.N. Lee, C. Uribe, A. Rahmim
A Matlab-based kinetic modeling tool for fast and robust estimation of Patlak-based parameters with uncertainty information
J. Nucl. Med., vol. 63 (suppl. 2): 3191, 2022 - L. Polson, C. Uribe, A. Rahmim
Iterative PET reconstruction algorithms followed by non-local means denosing for improved quantitative imaging
J. Nucl. Med., vol. 63 (suppl. 2): 3297, 2022 - I. Shiri, Y. Salimi, A. Sanaat, A. Saberi, A. Akhavanalaf, I. Mainta, A. Rahmim, H. Zaidi
Fully automated PET image artifacts detection and correction using deep neural networks
J. Nucl. Med., vol. 63 (suppl. 2): 3218, 2022 - Y. Liu, Z. Liu, D. Du, J.M. Luna, A. Rahmim, A.K. Jha
Assessing linearity of PET-derived radiomics features accross scanners: Implications for ComBat harmonization
J. Nucl. Med., vol. 63 (suppl. 2): 3174, 2022 - R. Bergen, J.F. Rajotte, F. Yousefirizi, A. Rahmim, T. Ng
3-D PET image generation with tumour masks using TGAN
J. Nucl. Med., vol. 63 (suppl. 2): 3243, 2022 - G. Hajianfar, M. Sabouri, M. Mohebi, F. Arian, M. Yasemi, A. Bitarafan, M. Oveisi, A. Rahmim, I. Shiri, H. Zaidi
Harmonization of myocardial perfusion SPECT radiomics features: A patient study
J. Nucl. Med., vol. 63 (suppl. 2): 3180, 2022 - S. Valavi, G. Hajianfar, F. Masoudi, M. Sohrabi, A. Bitarafan, M. Obeisi, A. Rahmim, I. Shiri, H. Zaidi
Parathyroid adenoma subtype decoding by using SPECT radiomic features and machine learning algorithms
J. Nucl. Med., vol. 63 (suppl. 2): 3235, 2022 - M. Khateri, F. Babapour Mofrad, E. Jenabi, G. Hajianfar, E. Jafari, H. Dadgar, M. Asadi, A. Rahmim, I. Shiri, H. Zaidi
Non-invasive prostate cancer histopathological subtype decoding using 68Ga-PSMA PET/CT radiomics features: A multi-centre study
J. Nucl. Med., vol. 63 (suppl. 2): 3242, 2022 - A. Jabbarpour, I. Shiri, Y. Salimi, A. Sanaat, P. Geramifar, A. Rahmim, H. Zaidi
End-to-end unsupervised learning for direct attenuation and scatter correction of whole-body 18F-FDG PET images using cycle GAN
J. Nucl. Med., vol. 63 (suppl. 2): 3219, 2022 - J. Brosch-Lenz, C. Uribe, A. Rahmim, B. Saboury
10 myths on the difficulties of implementing dosimetry-guided treatment planning and verification of radiopharmaceutical therapies
J. Nucl. Med., vol. 63 (suppl. 2): 2657, 2022 - H. Abdollahi, B. Saboury, C. Uribe, A. Rahmim
Radiopharmacogenomics guided radiopharmaceutical therapy: Systems biology meets radiopharmaceuticals
J. Nucl. Med., vol. 63 (suppl. 2): 2656, 2022 - B. Saboury, T. Bradshaw, R. Boellaard, I. Buvat, J. Dutta, M. Hatt, A.K. Jha, Q. Li, C. Liu, H. McMeekin, M.A. Morris, P.J.H. Scott, E. Siegel, J.J. Sutherland, R.L. Wahl, S. Zuehlsdorff, A. Rahmim
Artificial Intelligence ecosystem in nuclear medicine: Opportunities, challenges, and responsibilities
J. Nucl. Med., vol. 63 (suppl. 2): 2733, 2022 - T.J. Bradshaw, R. Boellaard, I. Buvat, J. Dutta, A.K. Jha, P. Jacobs, Q. Li, C. Liu, A. Sitek, B. Saboury, P.J.H. Scott, P.J. Slomka, J.J. Sutherland, R.L. Wahl, F. Yousefirizi, S. Zuehlsdorff, A. Rahmim, I. Buvat
Pitfalls in the development of artificial intelligence algorithms in nuclear medicine and how to avoid them
J. Nucl. Med., vol. 63 (suppl. 2): 2724, 2022 - A. K. Jha, T.J. Bradshaw, I. Buvat, M. Hatt, P. KC, C. Liu, N.F. Obuchowski, B. Saboury, P.J. Slomka, J.J. Sunderland, R.L. Wahl, Z. Yu, S. Zuehlsdorff, A. Rahmim, R. Boellaard
Best practices for evaluation of artificial intelligence-based algorithms for nuclear medicine: The RELAINCE guidelines
J. Nucl. Med., vol 63 (suppl. 2): 2725, 2022 - M. McCradden, J. Herington, K. Creel, R. Boellaard, A.K. Jha, A. Rahmim, PJ.H. Scott, J.J. Sunderland, R.L. Wahl, S. Zuehlsdorff, B. Saboury
Ethical risks in the development and deployment of artifical intelligence systems in nuclear medicine
J. Nucl. Med., vol. 63 (suppl. 2): 2751, 2022 - J. Brosch-Lenz, A. Rahmim, C. Uribe
Impact of dosimetry method on organ and tumor absorbed dose estimates in lutetium-177-DOTATATE therapy of neuroendocrine tumors
Proc. AAPM Annual Meeting, 2022 - F. Yousefirizi, I. Janzen, N. Dubljevic, Y. Liu, C. Hill, C. MacAulay, A. Rahmim
Segmentation and risk score prediction of head and neck cancers in PET/CT volumes with 3D U-Net and Cox proportional hazard neural networks
Lect. Notes Comp. Sci., vol. 13209, pp. 236-247, 2022 - M. R. Salmanpour, G. Hajianfar, S. M. Rezaeijo, M. Ghaemi, A. Rahmim
Advanced automatic segmentation of tumors and survival prediction in head and neck cancer
Lect. Notes Comp. Sci., vol. 13209, pp. 202-210, 2022 - F. Yousefirizi, N. Dubljevic, S. Ahamed, I. Bloise, C. Gowdy, J. H. O, Y. Farag, R. Schaetzen, P. Martineau, D. Wilson, C. F. Uribe, A. Rahmim
Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images
Proc. SPIE. 12032, Medical Imaging Conference 2022 - M. R. Salmanpour, M. Hosseinzadeh, E. Modiri, A. Akbari, G. Hajianfar, D. Askari, M. Fatan, M. Maghsudi, H. Gharrari, M. Rezaei, M. M. Ghaemi, A. Rahmim
Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features
Proc. SPIE. 12036, Medical Imaging Conference 2022 - R. V. Bergen, JF. Rajotte, F. Yousefirizi, I. S. Klyuzhin, A. Rahmim, R. T. Ng
3-D PET image generation with tumour masks using TGAN
Proc. SPIE Medical Imaging Conference, vol. 12032, 2022 - S. Ahamed, N. Dubljevic, I. Bloise, C. Gowdy, P. Martineau, D. Wilson, C. F. Uribe, A. Rahmim, F. Yousefirizi
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma
Proc. SPIE. 12032, Medical Imaging Conference 2022 - M. R. Salmanpour, M. Hosseinzadeh, A. Akbari, K. Borazjani, K. Mojallal, D. Askari, G. Hajianfar, S. M. Rezaei, M. M. Ghaemi, A. H. Nabizadeh, A. Rahmim
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features
Proc. SPIE. 12033, Medical Imaging Conference 2022 - A. Javanmardi, M. Hosseinzadeh, G. Hajianfar, A. H. Nabizadeh, S. M. Rezaeijo, A. Rahmim, M. R. Salmanpour,
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer
Proc. SPIE. 12032, Medical Imaging Conference 2022
2021
- A. Hart, M. Bazalova-Carter, A. Rahmim, C. Uribe
Personalized PET/CT: deriving anatomy-based [18F]FDG scanning protocols
Proc. COMP Annual Scientific Meeting, 2021 - A. Akhavanallaf, Y. Salimi, I. Shiri, H. Arabi, X. Hou, J. M. Beauregard, A. Rahmim, H. Zaidi
Deep learning-based dosimetry in radionuclide therapy: Is it worth the effort?
Proc. IEEE Medical Imaging Conference, 2021. - I. Shiri, A. Sanaat, E. Jafari, R. Samimi, M. Khateri, P. Sheikhzadeh, P. Geramifar, H. Dadgar, H. Arabi, M. Assadi, C. Uribe, A. Rahmim, H. Zaidi
Deep active learning model for adaptive PET attenuation and scatter correction in multi-centric studies
Proc. IEEE Medical Imaging Conference, 2021. - I. Shiri, A. Sanaat, Y. Salimi, A. Akhavanallaf, H. Arabi, A. Rahmim, H. Zaidi
PET-QA-Net: Towards routine PET image artifact detection and correction using deep convolutional neural networks
Proc. IEEE Medical Imaging Conference, 2021. - F. Yousefirizi, I. Bloise, P. Martineau, D. Wilson, F. Benard, T. Bradshaw, A. Rahmim, C. Uribe
Reproducibility of a semi-automatic gradient-based segmentation approach for lymphoma PET
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S507, 2021. - R. Fedrigo, R. Coope, A. Rahmim, F. Bénard, C. Uribe
The canadian PET phantom for prostate oncology (C3PO) - A Multimodality imaging phantom for 18F-PSMA harmonization
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S255, 2021. - R. Fedrigo, R. Coope, I. Bloise, C. Gowdy, A. Hart, A. Rahmim, C. Uribe
Evaluation of tumour volume and activity using new tumour modelling method: application to non- hodgkin’s lymphoma
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S494, 2021. - Y. Farag, R. de Schaetzen, G. Chaussé, F. Yousefirizi, I. Klyuzhin, A. Rahmim, C. Uribe
A fully automated method for bladder segmentation in PSMA PET/CT scans
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S350, 2021. - R. Fedrigo, R. Coope, I. Bloise, C. Gowdy, A. Rahmim, C. Uribe
Negative-Cast modelling for oncology (NCMO) - development of a novel technique for casting radioactive tumour models
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S258, 2021. - Y. Xu, I. Klyuzhin, S. Harsini, A. Ortiz, A. Rahmim, J. Lavista Ferres
Automatic lesion detection and segmentation in PSMA PET/CT images using deep neural networks
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S329, 2021. - C. Miller, G. Chaussé, J. Brosch-Lenz, F. Bénard, A. Rahmim, C. Uribe
The impact of cell shape on the doses delivered to the nucleus from 177Lu-labelled radiotracers
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S22, 2021. - C. Miller, J. Rousseau, J. Crawford, B. Miller, F. Bénard, A. Rahmim, C. Uribe
Quantitative Ex Vivo imaging of 225Ac with the iQID alpha camera
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S21, 2021. - J. Brosch-Lenz, A. Gosewisch, F. Völter, L. Kaiser, P. Bartenstein, S. Ziegler, A. Rahmim, C. Uribe, G. Böning
Validation of a simplified single time point image-based dosimetry approach for 177Lu-PSMA therapy
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S73, 2021. - G. Chaussé, I. Bloise, N. Colpo, I. Klyuzhin, F. Yousefi, J. Brosch-Lenz, S. Probst, A. Rahmim, C. Uribe, F. Bénard
A 3-minute semi-automated PSMA PET organ segmentation method to use in the clinic and train neural networks
Eur. J. Nucl. Med. Mol. Imaging, vol. 48 (suppl. 1): S284, 2021. - Q. Liang, R. Fedrigo, A. Rahmim, C. Uribe, V Reddy, M. Berger
Feasibility of simplifying imaging-based personalized dosimetry with machine learning
Proc. World Molecular Imaging Congress (WMIC), 2021 - S. Ahamed, B. Yin, J. H. O, N. Dubljevic, I. Bloise, P. Martineau, D. Wilson, I. Shiri, H. Zaidi, C. F. Uribe, A. Rahmim, F. Yousefirizi
An automated pipeline for tumor detection followed by segmentation in PET imaging of diffuse large B-cell lymphoma
Proc. Meeting on PET in Lymphoma and Myeloma (PILM), 2021. - F. Yousefirizi, J. H. O, C. Gowdy, I. Bloise, P. Martineau, I. S. Klyuzhin, L. H. Sehn, K. J. Savage, D. Wilson, C. F. Uribe, A. Rahmim
Automated segmentation of diffuse large B cell lymphoma (DLBCL) lesions on [18F]FDG-PET/CT images using pre-trained deep learning models
Proc. Meeting on PET in Lymphoma and Myeloma (PILM), 2021. - I. S. Klyuzhin, C. Gowdy, C. F. Uribe, R. Morin, C. Steidl, L. H. Sehn, K. J. Savage, A. Rahmim
Tumor metabolic heterogeneity in post-chemotherapy PET scans is a predictor of early relapse in primary large mediastinal B-cell lymphoma
Proc. Meeting on PET in Lymphoma and Myeloma (PILM), 2021. - I. Klyuzhin, Y. Xu, S. Harsini, A. Ortiz, C. Uribe, J. Lavista Ferres, and A. Rahmim
Unsupervised background removal by dual-modality PET/CT guidance: application to PSMA imaging of metastases
J. Nucl. Med., vol. 62 (suppl. 1): 36, 2021. - M. R. Salmanpour, A. Saberi, G. Hajianfar, and A. Rahmim
Hybrid machine learning methods and ensemble voting for identification of Parkinson’s disease subtypes
J. Nucl. Med., vol. 62 (suppl. 1): 107, 2021. - R. Fedrigo, P. Segars, P. Martineau, K. J. Savage, C. Uribe, and A. Rahmim
Development of the lymphatic system in the 4D XCAT phantom for improved multimodality imaging research
J. Nucl. Med., vol. 62 (suppl. 1): 113, 2021. - H. S. H. Ahn, Y. Oloumi Yazdi, A. Rahmim, and I. Klyuzhin
Linking radiomic PET features with metabolic tissue parameters using a hybrid mathematical model of tumor growth
J. Nucl. Med., vol. 62 (suppl. 1): 114, 2021. - R. Fedrigo, J. Harpel, V. Reddy, M. Berger, A. Rahmim, C. Uribe, and Q. Liang
Feasibility of machine learning-assisted personalized dosimetry for targeted radioimmunotherapy with anti-CD45 iodine (131I) Apamistamab [Iomab-B] in patients with active relapsed or refractory acute myeloid leukemia; a phase III clinical trial
J. Nucl. Med., vol. 62 (suppl. 1): 73, 2021. - A. Hart, M. Bazalova-Carter, A. Rahmim, and C. Uribe
Optimization of injected activity for whole-body [18F]FDG PET/CT imaging
J. Nucl. Med., vol. 62 (suppl. 1): 1446, 2021 - F. Yousefirizi and A. Rahmim
Consolidating deep learning framework with active contour model for improved PET-CT segmentation
J. Nucl. Med., vol. 62 (suppl. 1): 1415, 2021 - C. Miller, G. Chausse, J. Brosch, F. Bénard, A. Rahmim, and C. Uribe
Comparison of S-Values and Absorbed Dose Rates at the Cellular Level in Prostate Cancer Cells Irradiated with 177Lu and 225Ac Labelled Compounds
J. Nucl. Med., vol. 62 (suppl. 1): 1574, 2021. - I. Klyuzhin, G. Chaussé, I. Bloise, J. Lavista Ferres, C. Uribe, and A. Rahmim
Automated deep segmentation of healthy organs in PSMA PET Images
J. Nucl. Med., vol. 62 (suppl. 1): 1410, 2021 - M. R. Salmanpour, G. Hajianfar, W. Lv, L. Lu, and A. Rahmim
Multitask outcome prediction using hybrid machine learning and PET-CT fusion radiomics
J. Nucl. Med., vol. 62 (suppl. 1): 1424, 2021 - A. Watkins, K. Lam, I. Klyuzhin, A. Rahmim, and C. Uribe
RAIVEN: A novel framework for translation of AI tools to the radiology environment
J. Nucl. Med., vol. 62 (suppl. 1): 1183, 2021 - Y. Zhu, F. Yousefirizi, Z. Liu, I. Klyuzhin, A. Rahmim, and A. K. Jha
Comparing clinical evaluation of PET segmentation methods with reference-based metrics and no-gold-standard evaluation technique
J. Nucl. Med., vol. 62 (suppl. 1): 1430, 2021 - I. Shiri, M. Nazari, G. Hajianfar, M. Amini, A. H. Avval, H. Abdollahi, M. Oveis, H. Arabi, A. Rahmim, and H. Zaidi
Can PET/CT radiomics harmonization improve gene mutation status prediction in non-small cell lung cancer?
J. Nucl. Med., vol. 62 (suppl. 1): 1434, 2021 - A. Javanmardi, M. R. Salmanpour, and A. Rahmim
Do DTI features add value to clinical and SPECT imaging features for outcome prediction in Parkinson’s disease?
J. Nucl. Med., vol. 62 (suppl. 1): 1414, 2021 - F. Yousefirizi, J-H. O, P. Martineau, C. Uribe, and A. Rahmim
Enhancement of conventional segmentation techniques to achieve deep framework performance for lymphoma lesion segmentation in PET images
J. Nucl. Med., vol. 62 (suppl. 1): 1427, 2021 - R. Fedrigo, P. Martineau, P. Segars, C. Gowdy, I. Bloise, F. Yousefirizi, I. Klyuzhin, K. J. Savage, L. H. Sehn, A. Rahmim, and C. Uribe
Evaluation of threshold and gradient-based PET segmentation algorithms using new anthropomorphic XCAT phantom with scalable lymphatic system: application to nodal non-Hodgkin’s lymphoma
J. Nucl. Med., vol. 62 (suppl. 1): 1402, 2021 - A. Saberi, M. R. Salmanpour, G. Hajianfar, and A. Rahmim
Longitudinal clustering analysis and prediction of Parkinson’s disease progression
J. Nucl. Med., vol. 62 (suppl. 1): 1051, 2021 - Y. Zhu, Z. Liu, M. Bilgel, A. Rahmim, and A. K. Jha
No-gold-standard evaluation of partial volume compensation methods for brain PET
J. Nucl. Med., vol. 62 (suppl. 1): 1409, 2021 - A. Watkins, J. Rousseau, C. Zhang, H-T. Kuo, A. Rahmim, F. Bénard, and C. Uribe
Biodi: a standardization application for storage, comparison, and dosimetry for biodistribution experiments in radiopharmaceutical development
J. Nucl. Med., vol. 62 (suppl. 1): 1585, 2021 - F. Yousefirizi and A. Rahmim
GAN-based bi-modal segmentation using Mumford-Shah loss: application to head and neck tumors in PET-CT images
Lect. Notes Comp. Sci., vol 12603, pp. 99–108, 2021
2020
- R. Fedrigo, D. Kadrmas, P. Edem, L. Fougner, I. Klyuzhin, M. P. Petric, F. Bénard, A. Rahmim, and C. Uribe
Optimization of quantitative [18F]DCFPyL PET using a realistic anthropomorphic phantom with shell-less radioactive epoxy lesions
Eur. J. Nucl. Med. Mol. Imaging, vol. 47 (suppl. 1): S259, 2020. - J. Brosch, C. Uribe, A. Gosewisch, L. Kaiser, P. Bartenstein, A. Todica, H. Ilhan, A. Rahmim, A. Celler, S. Ziegler, and G. Böning
Lesion-wise dosimetry for multiple bone metastases in mCRPC patients undergoing Lu-177- PSMA therapy: comparison of five dosimetric methods
Eur. J. Nucl. Med. Mol. Imaging, vol. 47 (suppl. 1): S378, 2020. - J. Brosch, C. Uribe, A. Gosewisch, L. Kaiser, P. Bartenstein, A. Todica, H. Ilhan, A. Rahmim, A. Celler, S. Ziegler, and G. Böning
Performance comparison of different dosimetry methods with respect to complexity and accuracy
Eur. J. Nucl. Med. Mol. Imaging, vol. 47 (suppl. 1): S103, 2020. - X. Hou, J. Brosh, G. Boning, A. Celler, and A Rahmim
Accuracy and limitation of using single-time-point dosimetry for theranostics
Proc. Annual AAPM Meeting, 2020. - J. Brosh, C. Uribe, A. Gosewisch, L. Kaiser, P. Bartenstein, A. Rahmim, A. Celler, S. Ziegler, and G. Boening
Comparison of bone lesion dosimetry based on voxel S-values and Monte Carlo simulation for Lu-177-PSMA-therapy of mCRPC patients with pronounced bone metastases
Proc. Annual AAPM Meeting, 2020. - D. Black, Y. Oloumi, J. Wong, R. Fedrigo, C. Uribe, D. Kadrmas, A. Rahmim, and I. Klyuzhin
Design and manufacture of anatomically realistic, actuated, elastic lung inserts for PET/CT phantom studies with respiratory motion
Proc. Annual AAPM Meeting, 2020. - M. Salmanpour, M. Shamsaei, A. Saberi, G. Hajianfar, H. Soltanian-Zadeh, and A. Rahmim
Radiomic features combined with hybrid machine learning robustly identify Parkinson’s disease subtypes
Proc. Annual AAPM Meeting, 2020. - R. Fedrigo, D. Kadrmas, P. Edem, F. Benard, A. Rahmim, and C. Uribe-Munoz
Phantom-guided optimization of BSREM reconstruction parameters using shell-less radioactive epoxy lesions for [18F]F-DCFPyL prostate cancer imaging
Proc. Annual AAPM Meeting, 2020. - I. Klyuzhin and A. Rahmim
Shape analysis in PET images using convolutional neural nets: limitations of standard architectures
Proc. Annual AAPM Meeting, 2020. - C. Miller, A. Rahmim, C. Uribe-munoz, and A. Celler
Quantitative imaging of 177Lu in the presence of 90Y for peptide receptor radionuclide therapy: a simulation study
Proc. Annual AAPM Meeting, 2020. - M. Salmanpour, A. Saberi, G. Hajianfar, M. Shamsaei, H. Soltanian-Zadeh, and A. Rahmim
Cluster analysis on longitudinal data of Parkinson’s disease subjects
Proc. Annual AAPM Meeting, 2020. - A. Hart, T. O’Briain, M. Bazalova-Carter, A. Rahmim, W. Beckham, and C. Uribe-munoz
Optimization of [18F]FDG injected activity for a new GE discovery MI PET/CT scanner using a NEMA phantom
Proc. Annual AAPM Meeting, 2020. - D. F. Wong et al.
Transcranial photoacoustic imaging of NMDA-evoked focal circuit dynamics in rat hippocampus
Proc. Intl. Symp. on Functional Neuroreceptor Mapping of the Living Brain (NRM), 2020. - M. Bilgel, Y. Zhu, O. Rousset, D. F. Wong, S. M. Resnick, and A. Rahmim
Objective evaluation of voxelwise partial volume correction methods in brain PET imaging
J. Nucl. Med., vol. 61 (suppl. 1): 72, 2020. - M. R. Salmanpour, A. Saberi, M. Shamsaei, and A. Rahmim
Optimal feature selection and machine learning for prediction of outcome in Parkinson’s disease
J. Nucl. Med., vol. 61 (suppl. 1): 524, 2020. - M. R. Salmanpour, M. Shamsaei, A. Saberi, G. Hajianfar, S. Ashrafinia, E. Davoodi-Bojd, H. Soltanian-Zadeh, and A. Rahmim
Hybrid machine learning methods for robust identification of parkinson’s disease subtypes
J. Nucl. Med., vol. 61 (suppl. 1): 1429, 2020. - O. Rousset, A. Nandi, Y. Zhu, A. Rahmim, and D. Wong
Deriving resolution-compensated PET images from the GTM partial volume correction method
J. Nucl. Med., vol. 61 (suppl. 1): 1399, 2020. - E. Petersen, P. Neilson, A. LaBella, A. Howansky, X. Cao, Z. Wang, C. Woody, A. Biegon, A. Rahmim, W. Zhao, and A. H. Goldan
Performance simulation of high resolution and high sensitivity Prism-PET brain scanner
J. Nucl. Med., vol. 61 (suppl. 1): 1502, 2020. - R. F. Gottesman et al.
Associations between vascular risk, amyloid burden and incident dementia: the ARIC-PET study
Stroke, vol. 51 (Suppl. 1): WP479, 2020.
2019
- Y. Zhu, Y. Gao, and A. Rahmim
Subtle MR guidance for partial volume correction of PET images: a comparison of techniques
IEEE Nucl. Sci. Symp. Conf. Record, 2019. - P. Dalaie, S. Ashrafinia, M. S. Sadaghiani, M. G. Pomper, A. Rahmim, and L. B. Solnes
Predicting cardiac function worsening using myocardial perfusion SPECT and coronary artery calcuim scoring
Radiological Society of North America (RSNA) Annual Meeting, Chicago, 2019. - X. Hou, W. Lv, J-M. Buregaurd, A. Celler, and A. Rahmim
Dose distribution radiomics: a new paradigm for assessment of radioligand therapy
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S256, 2019. - W. Lv, S. Ashrafinia, J. Ma, L. Lu, and A. Rahmim
Multi-level multi-modality fusion radiomics: application to PET and CT imaging for improved prognostication of head and neck cancer
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S253, 2019. - S. Ashrafinia, P. Dalaie, M. S. Sadaghiani, T. H. Schindler, M. G. Pomper, and A. Rahmim
Standardized radiomics of clinical myocardial perfusion stress SPECT images to determine coronary artery calcification score
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S17-18, 2019. - I. Shiri, P. Ghafarian, P. Geramifar, K. H. Leung, M. Oveisi, A. Rahmim, and M. R. Ay
Deep direct attenuation correction of brain PET images using emission data and deep convolutional encoder-decoder for application to PET/MR and dedicated brain PET scanners
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S289, 2019. - I. Shiri, G. Hajianfar, S. Ashrafinia, E. Jenabi, M. Oveisi, and A. Rahmim
Radiogenomics analysis of PET/CT images in lung cancer patients: Conventional radiomics versus deep learning
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S152, 2019. - R. Ataya, C. F. Uribe, R. Coope, A. Rahmim, F. Bénard
Variable density 3D-grids for non-uniform activity distributions in PET and SPECT phantoms: a proof of concept
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S801-802, 2019. - Y. Zhu and A. Rahmim
MR-guided partial volume correction of 3D PET images using a split Bregman optimized parallel level set framework
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S788, 2019. - C. Miller, A. Rahmim, and A. Celler
Dual-isotope peptide receptor radionuclide therapies with 177Lu and 90Y: is quantitative imaging possible?
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S825, 2019. - C. F. Uribe, N. Colpo, E. Rousseau, F. Lacroix-Poisson, D. Wilson, A. Rahmim, and F. Bénard
Regularized reconstruction improves signal-to-noise and quantification for 18F- PSMA PET/CT imaging
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S780-781, 2019. - S. Rezaei, P. Ghafarian, A. K. Jha, A. Rahmim, S. Sarkar, and M. R. Ay
Joint compensation for motion and partial volume effects in PET/CT images of lung cancer patients: impact on quantification for different image reconstruction methods
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S780, 2019. - H. Vosoughi, P. Geramifar, M. Hajizade, F. Emami, A. Rahmim, and M. Momennezhad
Optimized PET reconstructions: can they be harmonized as well?
Eur. J. Nucl. Med. Mol. Imaging, vol. 46 (suppl. 1): S571-572, 2019. - Bahadorzadeh, R. Faghihi, A. Aghaz, A. Rahmim, and M. R. Ay
Compensation of missing data in Xtrim preclinical PET sinograms via gantry wobbling
Proc. Iranian Congress of Nuc. Med. Annual Meeting, 2019. - S. Rezaei, P. Ghafarian, M. Bakhshayesh-Karam, A. Rahmim, S. Sarkar, and M. R. Ay
Joint compensation of motion and partial volume effects in oncologic PET/CT imaging
Proc. Iranian Congress of Nuc. Med. Annual Meeting, 2019. - P. Ghafarian, S. Rezaei, M. Bakhshayesh-Karam, C. F. Uribe, A. Rahmim, S. Sarkar, and M. R. Ay
Impact of imaging context and duration as well as reconstruction algorithms on measured PET spatial resolutions
Proc. Iranian Congress of Nuc. Med. Annual Meeting, 2019. - H. Vosoughi, P. Geramifar, M. Hajizade, F. Emami, A. Rahmim, and M. Momennezhad
Harmonization of PET/CT quantitative values between multiple scanners: a phantom study
Proc. Iranian Congress of Nuc. Med. Annual Meeting, 2019. - H. Vosoughi, P. Geramifar, M. Hajizade, F. Emami, A. Rahmim, and M. Momennezhad
Standardization and optimization of reconstruction parameters that impact image quality and quantification of PET/CT images
Proc. Iranian Congress of Nuc. Med. Annual Meeting, 2019. - E. Chin, A. Rahmim, and W. Beckham
First steps towards a PET/CT-based radiomics program at BC Cancer
Winter Institute of Medical Physics Annual Meeting, 2019. - K. H. Leung, S. Ashrafinia, M. S. Sadaghiani, P. Dalaie, R. Tulbah, Y. Yin, R. VanDenBerg, J. P. Leal, M. A. Gorin, Y. Du, M. G. Pomper, S. P. Rowe, and A. Rahmim
A fully automated deep-learning based method for lesion segmentation in 18F-DCFPyL PSMA PET images of patients with prostate cancer
J. Nucl. Med., vol. 60 (suppl. 1): 399, 2019. - Y. Zhu, Y. Gao, O. Rousset, D. F. Wong, and A. Rahmim
Post-reconstruction MRI-guided enhancement of PET images using parallel level set method with Bregman iteration
J. Nucl. Med., vol. 60 (suppl. 1): 179, 2019. - J. Kim, S. Seo, S. Ashrafinia, A. Rahmim, V. Sossi, and I. S. Klyuzhin
Training of deep convolutional neural nets to extract radiomic signatures of tumors
J. Nucl. Med., vol. 60 (suppl. 1): 406, 2019. - P. E. Bravo, B. Fuchs, A. K Tahari, D. Pryma, J. Dubroff, and A. Rahmim
Quantitative renal PET imaging with Rubidium-82 can discriminate individuals with different degrees of renal impairment
J. Nucl. Med., vol. 60 (suppl. 1): 164, 2019. - S. Ashrafinia, M. S. Sadaghiani, P. Dalaie, R. Tulbah, Y. Yin, K. H. Leung, R. VanDenBerg, J. P. Leal, M. A. Gorin, M. G. Pomper, A. Rahmim, and S. P. Rowe
Characterization of segmented 18F-DCFPyL PET/CT lesions in the context of PSMA-RADS structured reporting
J. Nucl. Med., vol. 60 (suppl. 1): 1565, 2019. - I. Shiri, K. H. Leung, P. Ghafarian, P. Geramifar, M. Oveisi, M. R. Ay, and A. Rahmim
HiResPET: high resolution PET image generation using deep convolution encoder decoder network
J. Nucl. Med., vol. 60 (suppl. 1): 1368, 2019. - I. Shiri, K H. Leung, P. Geramifar, P. Ghafarian, M. Oveisi, M. Reza Ay, and A. Rahmim
PSFNET: ultrafast generation of PSF-modelled-like PET images using deep convolutional neural network
J. Nucl. Med., vol. 60 (suppl. 1): 1369, 2019. - I. Shiri, K. H. Leung, P. Ghafarian, P. Geramifar, M. Oveisi, M. R. Ay, and A. Rahmim
Simultaneous attenuation correction and reconstruction of PET images using deep convolutional encoder decoder networks from emission data
J. Nucl. Med., vol. 60 (suppl. 1): 1370, 2019. - A. Cheng, Y. Kim, E. Anas, A. Rahmim, E. Boctor, R. Seifabadi, and B. Wood
Deep learning image reconstruction for limited-angle ultrasound tomography in prostate cancer
Proc. SPIE, vol. 10955, 1095516, 2019. - E. M. Abu Anas, A. Cheng, R. Seifabadi, Y. Wu, F. Aalamifar, B. Wood, A. Rahmim, E. M. Boctor
CNN and back-projection: limited angle ultrasound tomography for speed of sound estimation
Proc. SPIE, vol. 10955, 109550M, 2019. - R. Seifabadi et al.
Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer
Proc. SPIE, vol. 10955, 109550C, 2019.
2018
- M. R. Salmanpour, M. Shamsaee, A. Saberi Manesh, S. Setayeshi, E. Taherinezhad, I. S. Klyuzhin, J. Tang, V. Sossi, and A. Rahmim
Machine learning methods for optimal prediction of outcome in Parkinson’s disease
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - K. H. Leung, M. R. Salmanpour, A. Saberi, I. S. Klyuzhin, V. Sossi, A. K. Jha, M. G. Pomper, Y. Du, and A. Rahmim
Using deep-learning to predict outcome of patients with Parkinson’s disease
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - Y. Gao, H. Zhang, Y. Zhu, M. Bilgel, O. Rousset, S. Resnick, D. F. Wong, L. Lu, and A. Rahmim
Voxel-based partial volume correction of amyloid PET images incorporating non-local means regularization
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - I. Shiri, H. Maleki, G. Hajianfar, H. Abdollahi, S. Ashrafinia, M. Ghelich Oghli, M. Oveisi, and A. Rahmim
PET/CT radiomic sequencer for prediction of EGFR and KRAS mutation status in NSCLC patients
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - M. P. Adams, B. Yang, A. Rahmim, and J. Tang
Prediction of outcome in Parkinson’s disease patients from DAT SPECT images using a convolutional neural network
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - J. -C. Cheng, C. W. J. Bevington, A. Rahmim, I. S. Klyuzhin, J. Matthews, R. Boellaard, V. and Sossi
Dynamic PET reconstruction utilizing a spatiotemporal 4D de-noising kernel
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - H. Li, L. Lu, S. Cao, J. Gong, Q. Feng, A. Rahmim, and W. Chen
Dual-modality joint reconstruction of PET-MRI incorporating a cross-guided prior
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - M. A. Lodge, J. Sunderland, and A. Rahmim
About measurement of PET spatial resolution
IEEE Nucl. Sci. Symp. Conf. Record, 2018. - H. Vosoughi, P. Geramifar, M. Hajizade, A. Rahmim, F. Emami, and M. Momennezhad
Evaluation of effective reconstruction parameters on quantification of PET/CT images for harmonization: A phantom study
Proc. Iranian Congress of Nuc. Med. Annual Meeting, 2018. - N. Ahmadi, A. Karimian, M. N. Nasrabadi, and A Rahmim
Estimation of bowtie filter shape in PET/CT scan with TLD
Iranian J. Med. Phys., vol. 15, p. 395, 2018. - A. Rahmim, K. P. Bak-Fredslund, S. Ashrafinia, C. R. Schmidtlein, R. M. Subramaniam, A. Morsing, S. Keiding, J. Horsager, and O. L. Munk
Quantification of colorectal liver metastases using FDG PET volumetric and heterogeneity features for improved prediction of clinical outcome
J. Nucl. Med., vol. 59 (suppl. 1): 350, 2018. - A. Rahmim, S. Ashrafinia, S. Rowe, C. R. Schmidtlein, M. H. Vendelbo, T. El-Galaly, L. C. Gormsen, and O. L. Munk
Quantification of lymphoma using FDG PET heterogeneity features for improved prediction of clinical outcome
J. Nucl. Med., vol. 59 (suppl. 1): 594, 2018. - S. Ashrafinia, P. Dalaie, R. Yan, P. Ghazi, C. Marcus, M. Taghipour, P. Huang, M. G. Pomper, T. Schindler, and A. Rahmim
Radiomics analysis of clinical myocardial perfusion SPECT to predict coronary artery calcification
J. Nucl. Med., vol. 59 (suppl. 1): 512, 2018. - S. Ashrafinia, P. Dalaie, R. Yan, P. Huang, Martin G. Pomper, T. Schindler, and A. Rahmim
Application of texture and radiomics analysis to clinical myocardial perfusion SPECT imaging
J. Nucl. Med., vol. 59 (suppl. 1): 94, 2018. - H. Leung, W. Marashdeh, S. Ashrafinia, A. Rahmim, M. G. Pomper, and A. K. Jha
A deep-learning-based fully automated segmentation approach to delineate tumors in FDG PET images of lung cancer patients
J. Nucl. Med., vol. 59 (suppl. 1): 323, 2018. - S. Klyuzhin, N. Shenkov, A. Rahmim, and V. Sossi
Use of deep convolutional neural networks to predict Parkinson’s disease progression from DaTscan SPECT images
J. Nucl. Med., vol. 59 (suppl. 1): 29, 2018. - D. Du, W. Lv, Q. Yuan, Q. Wang, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Machine learning methods for optimal differentiation of recurrence versus inflammation from post-therapy nasopharyngeal 18F-FDG PET/CT images
J. Nucl. Med., vol. 59 (suppl. 1): 125, 2018. - X. Hong, W. Lv, Q. Yuan, Q. Wang, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal 18F-FDG PET/CT images
J. Nucl. Med., vol. 59 (suppl. 1): 249, 2018. - Y. Gao, M. Bilgel, S. Ashrafinia, Lijun Lu, Olivier Rousset, Susan Resnick, Dean F. Wong, Arman Rahmim
Evaluation of non-local methods with and without anatomy information for improved quantitative amyloid PET imaging
J. Nucl. Med., vol. 59 (suppl. 1): 1779, 2018. - A. Rahmim, M. A. Lodge, N. A. Karakatsanis, V. Y. Panin, Y. Zhou, A. McMillan, S. Cho, H. Zaidi, M. E. Casey, R. L. Wahl
Dynamic whole-body PET imaging: principles, potentials and applications
J. Nucl. Med., vol. 59 (suppl. 1): 1158, 2018. - W. Lv, Q. Yuan, Q. Wang, J. Ma, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Prognostic potentials of radiomics analysis on the PET and CT components of PET/CT complementary to clinical parameters in patients with nasopharyngeal carcinoma
J. Nucl. Med., vol. 59 (suppl. 1): 1734, 2018. - L. Lu, P. Wang, J. Ma, Q. Feng, A. Rahmim, and W. Chen
Generalized factor analysis incorporating alpha-divergence and kinetics-based clustering: application to dynamic myocardial perfusion PET imaging
J. Nucl. Med., vol. 59 (suppl. 1): 1733, 2018. - Y. Li, A. Rahmim, and L. Lu
Direct Bayesian parametric image reconstruction from dynamic myocardial perfusion PET data
J. Nucl. Med., vol. 59 (suppl. 1): 1772, 2018. - J. Kang et al.
In vivo imaging of neurotransmitter modulation of brain network activity using transcranial photoacoustic voltage-sensitive dye imaging
Proc. Intl. Symp. Ultrasonic Imaging & Tissue Charac. (UITC), 2018. - N. Salehi, M. R. Ay, A. Rahmim, and E. Fatemizadeh
Evaluation of contraction motion compensation in gated myocardial perfusion SPECT using intensity based and land mark based registration techniques
Proc. World Federation of Nuclear Medicine and Biology (WFNMB), Abs. 133, 2018. - Y. Zhu, A. K. Jha, D. F. Wong, and A Rahmim
Improved sparse reconstruction for fluorescence molecular tomography with Poisson noise modeling
Proc. OSA Biomedical Optics Congress, JTu3A.51, 2018. - W. Lv, Q. Yuan, Q. Wang, J. Ma, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Radiomics analysis of baseline 18F-FDG PET/CT Images for improved prognosis in nasopharyngeal carcinoma
Proc. IEEE Intl. Symp. Biom. Imag., pp. 835-838, 2018. - A. Zwanenburg et al.
Results from the image biomarker standardisation initiative
Radiotherapy and Oncology, vol. 127: S543-S544, 2018. - J. Kang, H. K. Zhang, S. Kadam, J. Fedorko, H. Valentine, A. Rahmim, L. M. Loew, D. F. Wong, and E. M. Boctor
Transcranial recording of stimulated neuronal activity in vivo using photoacoustic voltage-sensitive dye imaging
Proc. SPIE (Photonics West), 2018. - R. W. Pak, H. N. D. Le, H. Valentine, D. L. J. Thorek, A. Rahmim, D. F. Wong, and J. U. Kang
Diffusion quantification of IR-780 dye delivered using Lexiscan through the blood brain barrier
Proc. SPIE (Photonics West), 2018.
2017
- S. Ashrafinia, K. Jones, M. A. Gorin, S. P. Rowe, M. S. Javadi, M. G. Pomper, M. Allaf, and A. Rahmim
Reproducibility of cold uptake radiomics in 99mTc-Sestamibi SPECT imaging of renal cell carcinoma
IEEE Nucl. Sci. Symp. Conf. Record, 2017. - R. Yan, S. Ashrafinia, S. Park, J. Lee, L. C. Chu, C. T. Lin, A. Hussien, N. Malguria, J. Steingrimsson, A. Rahmim, and P. Huang
The use of low-dose CT intra- and extra-nodular image texture features to improve small lung nodule diagnosis in lung cancer screening
IEEE Nucl. Sci. Symp. Conf. Record, 2017. - J. Leal, E. Turkbey, L. Solnes, S. Rowe, A. Rahmim, N. Karakatsanis, and M. Lodge
A viewer for dynamic whole-Body PET/CT studies with integrated voxel-based Patlak analysis
Radiological Society of North America (RSNA) Annual Meeting, Chicago, 2015. - B. A. Anderson, H. Kuwabara, D. F. Wong, J. Roberts, A. Rahmim, J. Brasic, and S. Courtney
Learning mechanisms underlying value-driven attention
Journal of Vision (Vision Sciences Society Annual Meeting), vol. 17, pp. 1101, 2017. - S. Ashrafinia, P. Ghazi, C. V Marcus, M. Taghipour, R. Yan, I. Valenta, M. Pomper, T. H Schindler, and A. Rahmim
Robustness and reproducibility of radiomic features in 99mTc-Sestamibi SPECT imaging of myocardial perfusion
Proc. AAPM Annual Meeting, Denver, 2017. - Y. Zhu, A. K. Jha, and A. Rahmim
Application of computational breast phantoms to evaluate reconstruction methods for fluorescence molecular tomography
Proc. 6th Intern. Workshop on Computational Human Phantoms, Annapolis, 2017. - I. Shiri, P. Ghafarian, S. Ashrafinia, A. Bitarafan, M. R. Ay, and A. Rahmim
Optimal quantitative SUV metrics over wide range of lesion sizes in advanced image reconstruction (TOF and PSF) for PET
Eur. J. Nucl. Med. Mol. Imaging, vol. 44 (suppl. 2): S427, 2017. - I. Shiri, A. Rahmim, H. Abdollahi, P. Geramifar, and A. Bitarafan
Applying radiomics and machine learning on PET images to predict lung metastases in soft tissue sarcoma patients
Eur. J. Nucl. Med. Mol. Imaging, vol. 44 (suppl. 2): S741, 2017. - I. Shiri, A. Rahmim, G. Hajianfar, H, Abdollahi, P. Geramifar, P. Ghafarian, and A. Bitarafan
Partial volume correction changes intra-tumoral heterogeneity in 18F-FDG PET
Eur. J. Nucl. Med. Mol. Imaging, vol. 44 (suppl. 2): S463, 2017. - I. Shiri, A. Rahmim, H. Abdollahi, P. Geramifar, and A. Bitarafan
Robustness and reproducibility of PET image radiomic features: the impact of delineation and segmentation
Eur. J. Nucl. Med. Mol. Imaging, vol. 44 (suppl. 2): S459-S460, 2017. - I. Shiri, A. Rahmim, S. Ashrafinia, P. Geramifar, and A. Bitarafan
Impact of matrix size on metabolic tumor volume (MTV) and total lesion glycolysis (TLG) in PSF based PET image
Eur. J. Nucl. Med. Mol. Imaging, vol. 44 (suppl. 2): S439, 2017. - R. W. Pak, H. N. D. Le, H. Valentine, D. Thorek, A. Rahmim, D. Wong, and J. U. Kang
Assessment of Lexiscan for blood brain barrier disruption to facilitate fluorescence brain imaging
Proc. CLEO Conference, ATu3B.2, 2017. - A. Zwanenburg et al.
Multicentre initiative for standardisation of image biomarkers
Radiotherapy and Oncology, vol. 123: S914-S915, 2017. - I. Klyuzhin, J. Fu, N. Shenkov, N. Vafai, E. Shahinfard, J. McKenzie, N. Neilson, K. Dinelle, M. Sacheli, J. Stoessl, A. Rahmim, and Vesna Sossi
Striatal neurodegeneration patterns in Parkinson’s disease identified using PET imaging and PCA
Annual Meeting of the Organization for Human Brain Mapping (OHBM), Vancouver, 2017. - P. Huang, N. Shenkov, S. Fotouhi, E. Davoodi-Bojd, L. Lu, Z. Mari, H. Soltanian-Zadeh, V. Sossi, and A. Rahmim
Radiomics analysis of longitudinal DaTscan images for improved prediction of outcome in Parkinson’s disease
J. Nucl. Med., vol. 58 (suppl. 1): 412, 2017. - S. Ashrafinia, S. Rowe, M. Gorin, M. DiGianvittorio, L. Lu, M. Lodge, M. Pomper, and A. Rahmim
Reproducibility and reliability of radiomic features in 18F-DCFPyL PET/CT imaging of prostate cancer
J. Nucl. Med., vol. 58 (suppl. 1): 503, 2017. - J. Tang, B. Yang, N. Shenkov, S. Fotouhi, E. Davoodi-Bojd, L. Lu, H. Soltanian-Zadeh, V. Sossi, and A. Rahmim
Artificial neural network based outcome prediction in DAT SPECT imaging of Parkinson’s Disease
J. Nucl. Med., vol. 58 (suppl. 1): 292, 2017. - J. Leal, E. Turkbey, L. Solnes, S. Rowe, A. Rahmim, and M. Lodge
A viewer for dynamic whole body PET/CT studies
J. Nucl. Med., vol. 58 (suppl. 1): 705, 2017. - N. Shenkov, I. Klyuzhin, S. Fotouhi, E. Davoodi-Bojd, H. Soltanian-Zadeh, A. Rahmim, and V. Sossi
A metric to quantify DaTSCAN tracer uptake in subjects with Parkinson’s disease computed without MRI-based regions of interest
J. Nucl. Med., vol. 58 (suppl. 1): 291, 2017. - J. Kim, J. Miller-Ocuin, A. Rahmim, Matthew J. Oborski, C. M. Laymon, H. J. Zeh III, and J. M. Mountz
Dynamic 18F-FDG PET response to preoperative neoadjuvant chemotherapy in potentially resectable pancreatic ductal adenocarcinoma may predict overall survival
J. Nucl. Med., vol. 58 (suppl. 1): 498, 2017. - W. Lv, L. Lu, J. Jiang, J. Ma, Q. Feng, A. Rahmim, and W. Chen
Robustness of radiomic features in 18F-FDG PET/CT imaging of nasopharyngeal carcinoma: impact of parameter settings on different feature matrices
J. Nucl. Med., vol. 58 (suppl. 1): 1319, 2017. - Y. Salimpour, E. Davoodi-Bojd, S. Fotouhi, R. Yan, S. Mirpour, H. Soltanian-Zadeh, V. Sossi, and A. Rahmim
Regional correlation of subcortical structures against clinical phenotypes in Parkinson’s disease: DAT SPECT imaging approach
J. Nucl. Med., vol. 58 (suppl. 1): 1277, 2017. - N. Shenkov, I. Klyuzhin, A. Rahmim, and V. Sossi
A neuroimaging-based model for disease progression in Parkinson’s disease
Proc. Intern. Parkinson & Movement Disorder Society Congress: 1500, 2017. - H. K. Zhang, P. Yan, J. Kang, D. Abou, H. N. D. Le, A. K. Jha, D. Thorek, J. Kang, A. Rahmim, D. F. Wong, E. M. Boctor, and L. M. Loew
Photoacoustics as a new modality for recording membrane potential changes
Biophysical Journal, vol. 112, p. 285a, 2017. - Y. Zhu, A. K. Jha, J. K. Dreyer, H. N. D. Le, Jin U. Kang, P. E. Roland, D. F. Wong, and A. Rahmim
A three-step reconstruction algorithm for fluorescence molecular tomography based on compressive sensing
Proc. SPIE, vol. 10059, 1005911, 2017. - H. K. Zhang, J. Kang, P. Yan, D. Abou, H. N. D. Le, D. Thorek, J. Kang, A. Gjedde, A. Rahmim, D. F. Wong, L. M. Loew, and E. M. Boctor
Recording membrane potential changes through photoacoustic voltage sensitive dye
Proc. SPIE, vol. 10064, 1006407, 2017. - H. N. D. Le, Y-T. A. Gau, A. Rahmim, D. F. Wong, D. E. Bergles, and J. U. Kang
Through-skull vasculature assessment using fluorescence brain imaging on murine models at around 800 nm
Proc. SPIE, vol. 10051, 100510M, 2017. - J. Kang, H. Kai Zhang, A. Rahmim, D. F. Wong, J. U. Kang, and E. M. Boctor
Toward high-speed transcranial photoacoustic imaging using compact near-infrared pulsed LED illumination system
Proc. SPIE, vol. 10064, 100643B, 2017. - A. K. Jha, Y. Zhu, D. F. Wong, and A. Rahmim
A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging
Proc. SPIE, vol. 10137, 1013705, 2017. - H. K. Zhang, J. Kang, P. Yan, D. Abou, H. N. D. Le, D. Thorek, J. Kang, A. Gjedde, A. Rahmim, D. F. Wong, L. M. Loew, and E. M. Boctor
Listening to membrane potential change through photoacoustic voltage-sensitive dye
Proc. Intl. Symp. Ultrasonic Imaging & Tissue Charac. (UITC), 2017. - R. F. Gottesman et al.
Subclinical cerebrovascular disease and brain amyloid deposition: the ARIC-PET study
Proc. Human Amyloid Imaging (HAI) Conference, 2017.
2016
- H. Ghadiri, M. R. Fouladi, and A. Rahmim
Analysis of various parameters affecting signals in resting-state mouse brain photoacoustic microscopy: a simulation study
Proc. IEEE Intern. Conf. Signal Proc. & Intel. Sys. (ICSPIS), 2016. - I. Shiri, A. Rahmim, H. Abdollahi, P. Ghafarian, A. Bitarafan, M. Ay, M. BakhshaieshKaram
Radiomics texture features variability and reproducibility in advance image reconstruction setting of oncological PET/CT
Eur. J. Nuc. Med. Molec. Imag., vol. 43 (suppl. 1): S150, 2016. - M. Soltani, S. Shahriyari, A. A. Goharrizi, and A. Rahmim
Modeling spatiotemporal distribution of [18F]-FMISO PET tracer in tumor imaging
Proc. Nanomed. Drug Del. Symp. (nanoDDS), 2016. - A. Asgari, M. Soltani, M. Sefidgar, and A. Rahmim
A numerical model for simulating tissue oxygen pressure and dynamics of [18F]-FMISO
Proc. Nanomed. Drug Del. Symp. (nanoDDS), 2016. - P. Knoll, S. Mirzaei, and A. Rahmim
Scatter correction for planar and SPECT imaging with factor analysis
Phys. Med., vol. 32 (suppl. 3): 240, 2016. - R. Mabrouk, I. Klyuzhin, E. Shahinfard, N. Vafai, J. Fu. S. Blinder, M. Walker, A. Rahmim, and V. Sossi
Exploring feature-based approaches to assess neuroinflammation in patient with Parkinson’s disease: a PBR28 PET imaging study
Proc. Intl. Symp. on Functional Neuroreceptor Mapping of the Living Brain (NRM), 2016. - H. Bal, V. Panin, N. Karakatsanis, A. Rahmim, and M. Casey
Novel quantitative whole-body parametric PET imaging utilizing multiple clustering realizations
IEEE Nucl. Sci. Symp. Conf. Record, 2016. - I. Klyuzhin, J. Fu, N. Shenkov, A. Rahmim and V. Sossi
Sub-regional pattern analysis of heterogeneous PET tracer distribution employed for disease assessment
IEEE Nucl. Sci. Symp. Conf. Record, 2016. - A. K. Jha, Y. Zhu, J. U. Kang, J. K. Dreyer, A. Gjedde, D. F. Wong, and A Rahmim
Incorporating boundary conditions in the integral form of the radiative transfer equation for transcranial imaging
Proc. OSA Biomedical Optics Congress (BIOMED), JW3A.47, 2016. - F. Aalamifar, H. K. Zhang, A. Rahmim, and E. M. Boctor
Tomographic reconstruction of speed-of-sound using two robotically aligned ultrasound probes
Proc. Intl. Symp. Ultrasonic Imaging & Tissue Charac. (UITC), 2016. - H. Jang, H. J. Im, A. Rahmim, S. Cho, and A. McMillan
On the feasibility of quantitative dynamic whole body PET/MR imaging
Proc. Intl. Soc. Mag. Reson. Med., vol. 24, pp. 3715, 2016. - F. Aalamifar, H. K. Zhang, A. Rahmim, and E. M. Boctor
Image reconstruction for robot assisted ultrasound tomography
Proc. SPIE, vol. 9790, 979017, 2016. - A. Rahmim, Y. Salimpour, S. Jain, S. Blinder, I. Klyuzhin, G. Smith, Z. Mari, and V. Sossi
Application of texture analysis to DaTscan images for enhanced assessment of progression in Parkinson’s disease
J. Nucl. Med., vol. 57 (suppl. 2): 73, 2016. - A. Rahmim, C. R. Schmidtlein, K. P. Bak-Fredslund, R. M. Subramaniam, A. Morsing, S. Keiding, and O. L. Munk
Application of novel PET metric to quantify liver metastases for enhanced prognostication of clinical outcome
J. Nucl. Med., vol. 57 (suppl. 2): 352, 2016. - S. Ashrafinia, E. M. Gonzalez, H. Mohy-ud-Din, A. K. Jha, R. Subramaniam, and A. Rahmim
Adaptive PSF modeling for enhanced heterogeneity quantification in oncologic PET imaging
J. Nucl. Med., vol. 57 (suppl. 2): 479, 2016. - A. Karakatsanis, M. A. Lodge, G. Fahrni, M. E. Casey, Y. Zhou, R. Subramaniam, H. Zaidi, and A. Rahmim
Simultaneous SUV/Patlak-4D whole-body PET: a multi-parametric 4D imaging framework for routine clinical application
J. Nucl. Med., vol. 57 (suppl. 2): 367, 2016. - A. Rahmim, Y. Salimpour, S. Blinder, I. Klyuzhin, and V. Sossi
Optimized Haralick texture quantification to track Parkinson’s disease progression from DAT SPECT images
J. Nucl. Med., vol. 57 (suppl. 2): 428, 2016. - S. Ashrafinia, H. Mohy-ud-Din, N. A. Karakatsanis, M. E. Casey, M. A. Lodge, and A. Rahmim
PSF overestimation improves PET image SUV quantification
J. Nucl. Med., vol. 57 (suppl. 2): 1965, 2016. - L. Lu, W. Lv, J. Jiang, J. Ma, Q. Feng, A. Rahmim, and Wufan Chen
Robustness of textural features in 11C-choline and 18F-FDG PET/CT scans of nasopharyngeal carcinoma
J. Nucl. Med., vol. 57 (suppl. 2): 1896, 2016. - B. Yang, A. Rahmim, and J. Tang
Enhanced dynamic cardiac PET imaging using complementary reconstruction
J. Nucl. Med., vol. 57 (suppl. 2): 1961, 2016. - B. A. Anderson, H. Kuwabara, D. F. Wong, E. G. Gean, A. Rahmim, J. R. Brasic, N. George, B. Frolov, S. M. Courtney, and S. Yantis
Relating value-driven attentional capture to striatal dopamine: A positron emission tomography study
Journal of Vision (Vision Sciences Society Annual Meeting), vol. 16, pp. 1134, 2016. - R. F. Gottesman et al.
Do midlife vascular risk factors contribute to brain amyloid? The ARIC-PET study
Proc. Human Amyloid Imaging (HAI) Conference, 2016.
2015
- S. Sheikhbahaei, C. Marcus, R. Wray, A. Rahmim, M. A. Lodge, and R. M. Subramaniam
Impact of point-spread function reconstruction on quantitative FDG-PET/CT imaging parameters and inter reader reproducibility in solid tumors
Radiological Society of North America (RSNA) Annual Meeting, Chicago, 2015. - V. Y. Panin, H. Bal, M. Defrise, M. E. Casey, N. Karakatsanis, and A. Rahmim
Whole-body parametric imaging on clinical scanner: direct 4D reconstruction with simultaneous attenuation estimation and time-dependent normalization
IEEE Nucl. Sci. Symp. Conf. Record, 2015. - N. A. Karakatsanis, A. Mehranian, M. A. Lodge, M. E. Casey, A. Rahmim, and H. Zaidi
Clinical evaluation of direct 4D whole-body PET parametric imaging with time-of-flight and resolution modeling capabilities
IEEE Nucl. Sci. Symp. Conf. Record, 2015. - M. Soltani, M. Sefidgar, H. Bazmara, C. Marcus, R. M. Subramaniam, and A. Rahmim
Effect of tumor size on drug delivery to lung tumors
IEEE Nucl. Sci. Symp. Conf. Record, 2015. - I. S. Klyuzhin, S. Blinder, N. Shenkov, E. Shahinfard, R. Mabrouk, A. Rahmim, and V. Sossi
Investigation of texture quantification parameters for neurological PET image analysis
IEEE Nucl. Sci. Symp. Conf. Record, 2015. - B. A. Anderson, H. Kuwabara, E. G. Gean, A. Rahmim, J. R. Brasic, N. George, B. Frolov, S. M. Courtney, D. F. Wong, and S. Yantis
The role of dopamine in value-based attention as revealed by positron emission tomography
Annual Meeting of the Organization for Human Brain Mapping (OHBM), Honolulu, 2015. - M. Soltani, M. Sefidgar, H. Bazmara, S. Sheikhbahaei, C. Marcus, S. Ashrafinia, R. M. Subramaniam, and A. Rahmim
Spatiotemporal distribution of the FDG PET tracer in solid tumors: contributions of diffusion and convection mechanisms
Med. Phys., vol. 42: 3660, 2015. - M. Soltani, H. Bazmara, M. Sefidgar, R. M. Subramaniam, and A. Rahmim
Study on the impact of tumor shape and size on drug delivery to pancreatic tumors
Med. Phys., vol. 42: 3220, 2015. - M. Soufi, A. Kamali Asl, P. Geramifar, and A. Rahmim
Random walk algorithm seed localization parameters in lung PET images
Med. Phys., vol. 42: 3221, 2015. - A. Rahmim, R. Schmidtlein, A. Jackson, S. Sheikhbahaei, C. Marcus, S. Ashrafinia, and R. Subramaniam
Novel quantitative generalized total effective entrapment (gTEE) metric for enhanced clinical outcome prediction: application to PET/CT imaging of pancreatic cancer
J. Nucl. Med., vol. 56 (suppl. 3): 647, 2015. - N. A. Karakatsanis, M. A. Lodge, Y. Zhou, M. Casey, R. L. Wahl, R. M. Subramaniam, H. Zaidi, and A. Rahmim
Novel multi-parametric SUV/Patlak FDG-PET whole-body imaging framework for routine application to clinical oncology
J. Nucl. Med., vol. 56 (suppl. 3): 625, 2015. - Y. Zhou, M. A. Lodge, J. Crandall, N. A. Karakatsanis, M. Casey, S. Ashrafinia, X. Chen, R. M. Subramaniam, Richard L. Wahl, and A. Rahmim
Evaluation of whole-body parametric PET/CT image generation from high resolution high sensitivity mCT scanner
J. Nucl. Med., vol. 56 (suppl. 3): 372, 2015. - H. Mohy-ud-Din, M. A. Lodge, and A. Rahmim
Quantitative myocardial perfusion PET parametric imaging at the voxel-level
J. Nucl. Med., vol. 56 (suppl. 3): 1518, 2015. - Y. Salimpour, S. Jain, G. Smith, Z. Mari, V. Sossi, and A. Rahmim
Investigating the regional correlation of subcortical structures as imaged by DAT SPECT with clinical phenotypes in Parkinson’s disease
J. Nucl. Med., vol. 56 (suppl. 3): 1577, 2015. - M. Soltani, M. Sefidgar, H. Bazmara, and A. Rahmim
Enhanced modeling of spatiotemporal distribution of PET tracers in solid tumors and estimation of transport parameters
J. Nucl. Med., vol. 56 (suppl. 3): 1221, 2015. - M. Soltani, M. Sefidgar, H. Bazmara, R. M. Subramaniam, and A. Rahmim
Effect of tumor shape and size on drug delivery
J. Nucl. Med., vol. 56 (suppl. 3): 1220, 2015. - N. A. Karakatsanis, Y. Zhou, M. A. Lodge, M. Casey, R. L. Wahl, R. M. Subramaniam, A. Rahmim, and H. Zaidi
Clinical Whole-body PET Patlak imaging 60-90min post-injection employing a population-based input function
J. Nucl. Med., vol. 56 (suppl. 3): 1786, 2015. - M. A. Lodge, A. Rahmim, A. J. Antoniou, L. Solnes, and R. L. Wahl
Dynamic whole-body 68Ga-DOTATOC PET/CT
J. Nucl. Med., vol. 56 (suppl. 3): 648, 2015. - L. Lu, X. Ma, J. Ma, Q. Feng, A. Rahmim, and W. Chen
Low-rank plus sparse decomposition based dynamic myocardial perfusion PET image restoration
J. Nucl. Med., vol. 56 (suppl. 3): 1482, 2015. - S. Sheikhbahaei, R. Wray, B. Young, A. Rahmim, and R. M. Subramaniam
Therapy assessment of locally advanced pancreatic adenocarcinoma: Hopkins criteria and FDG-PET/CT quantitative parameter assessment
J. Nucl. Med., vol. 56 (suppl. 3): 640, 2015. - R. F. Gottesman et al.
Differences in Florbetapir deposition by race, age, gender, and ApoE status: the ARIC-PET study
Proc. Human Amyloid Imaging (HAI) Conference, 2015.
2014
- A. Rahmim, C. R. Schmidtlein, A. Jackson, C. Marcus, S. Ashrafinia, M. Soltani, and R. M. Subramaniam
A generalized total effective entrapment metric (gTEE) to quantify burden of homogeneous and heterogeneous tumors in PET imaging for enhanced clinical outcome prediction
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - M. Soltani, M. Sefidgar, M. E. Casey, R. L. Wahl, R. M. Subramaniam, and A. Rahmim
Comprehensive modeling of the spatiotemporal distribution of PET tracer uptake in solid tumors based on the convection-diffusion-reaction equation
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - N. A. Karakatsanis, M. A. Lodge, M. E. Casey, H. Zaidi, and A. Rahmim
Impact of acquisition time-window on clinical whole-body PET parametric imaging
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - N. A. Karakatsanis, M. A. Lodge, A. Rahmim, and H. Zaidi
Introducing time-of-flight and resolution recovery image reconstruction to whole-body PET parametric imaging
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - S. Jain, Y. Salimpour, L. Younes, G. Smith, Z. Mari, V. Sossi, and A. Rahmim
Application of pattern recognition framework for quantification of Parkinson’s disease in DAT SPECT imaging
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - S. A. L. Blinder, I. Klyuzhin, M. E. Gonzalez, A. Rahmim, and V. Sossi
Texture and shape analysis on high and low spatial resolution emission images
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - L. Lu, D. Hu, X. Ma, J. Ma, A. Rahmim, and W. Chen
Dynamic PET denoising incorporating a composite image guided filter
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - A. Rahmim, M. A. Lodge, A. H. Crabb, Y. Zhou, D. F. Wong, and R. F. Gottesman
Simultaneous monitoring of PET image resolution, noise, uniformity, and quantitative accuracy using uniform cylinder phantom measurements in the multi-center setting
IEEE Nucl. Sci. Symp. Conf. Record, 2014. - A. Rahmim, H. Mohy-ud-Din, and T. H. Schindler
Base-to-apex gradient abnormality detection task performance in myocardial perfusion imaging
J. Nucl. Med., vol. 55 (suppl. 1): 600, 2014. - S. Ashrafinia, H. Mohy-ud-Din, N. A. Karakatsanis, and D. J. Kadrmas, and A. Rahmim
Enhanced quantitative PET imaging utilizing adaptive partial resolution modeling
J. Nucl. Med., vol. 55 (suppl. 1): 371, 2014. - J. Tang, X. Wang, W. Segars, A Rahmim, and C-Y. Wong
Enhanced ejection fraction estimation in 4D respiratory motion compensated myocardial perfusion PET imaging
J. Nucl. Med., vol. 55 (suppl. 1): 148, 2014. - L. Lu, J. Ma, Q. Feng, W. Chen, and A. Rahmim
Quantitative brain PET imaging incorporating an anatomy-guided joint prior model
J. Nucl. Med., vol. 55 (suppl. 1): 370, 2014. - L. Lu, D. Hu, Y. Han, C. Gu, A. Rahmim, J. Ma, and W. Chen
Partial volume correction in small animal PET imaging incorporating total variation regularization
J. Nucl. Med., vol. 55 (suppl. 1): 374, 2014. - H. Cao, R. Gottesman, A. Rahmim, A. Crabb, W. Ye, N. George, B. Frolov, Y. Zhou, and D. F. Wong
Clustering analysis based on SUVR using 18F-AV-45 PET reveals distinct cortical and subcortical Abeta deposition patterns
J. Nucl. Med., vol. 55 (suppl. 1): 313, 2014. - L. Lu, J. Ma, J. Tang, Q. Feng, A. Rahmim, and W. Chen
Anatomy-guided brain PET imaging incorporating a joint prior model
Proc. IEEE Intl. Symp. Biom. Imag., pp. 959-962, 2014. - H. Mohy-ud-Din, N. A. Karakatsanis, M. A. Lodge, J. Tang, and A. Rahmim
Parametric myocardial perfusion PET imaging using physiological clustering
Proc. SPIE, vol. 9038, 90380P, 2014. - N. A. Karakatsanis and A. Rahmim
Whole-body PET parametric imaging employing direct 4D nested reconstruction and a generalized non-linear Patlak model
Proc. SPIE, vol. 9033, 90330Y, 2014. - S. Ashrafinia, N. A. Karakatsanis, H. Mohy-ud-Din, and A. Rahmim
Towards continualized task-based resolution modeling in PET imaging
Proc. SPIE, vol. 9033, 903327, 2014.
2013
- N. A. Karakatsanis, Y. Zhou, M. A. Lodge, M. Casey, R. L. Wahl, and A. Rahmim
Quantitative whole-body parametric PET imaging incorporating a generalized Patlak model
Proc. IEEE Nuc. Sci. Symp. & Med. Imag. Conf., 2013. - J. Tang, X. Wang, N. A. Karakatsanis, L. Lu, and A. Rahmim
MRI guided myocardial perfusion PET image reconstruction
Proc. IEEE Nuc. Sci. Symp. & Med. Imag. Conf., 2013. - A. J. Reader, A. Rahmim, S. H. Keller, S. Blinder, M. Sibomana, and J. -P. Soucy
Multi-centre assessment of HRRT image uniformity via Ge-68 and F-18 cylindrical and anthropomorphic phantoms
Proc. IEEE Nuc. Sci. Symp. & Med. Imag. Conf., 2013. - L. Lu, N. Karakatsanis, J. Ma, Z. Bian, Y. Han, J. Tang, A. Rahmim, and W. Chen
Performance evaluation of the Inveon PET scanner using GATE based on the NEMA NU-4 standards
Proc. IEEE Nuc. Sci. Symp. & Med. Imag. Conf., 2013. - H. Ghadiri, M. B. Shiran, H. R. Soltanian-Zadeh, A. Rahmim, and M. R. Ay
A fast and hardware mimicking analytic CT simulator
Proc. IEEE Nuc. Sci. Symp. & Med. Imag. Conf., 2013. - A. Rahmim and J. Tang
Impact of resolution modeling on detectability: analysis in terms of noise-equivalent quanta
J. Nucl. Med., vol. 54 (suppl. 2): 2119, 2013. - N. Karakatsanis, M. Lodge, R. Wahl, and A. Rahmim
Direct 4D whole-body PET/CT parametric image reconstruction: concept and comparison vs. indirect parametric imaging
J. Nucl. Med., vol. 54 (suppl. 2): 2133, 2013. - J. Tang and A. Rahmim
Non-transmural myocardial perfusion defect detection using 5D respiratory and cardiac motion-corrected PET imaging
J. Nucl. Med., vol. 54 (suppl. 2): 488, 2013. - J. H. O, N. Karakatsanis, A. Rahmim, M. A. Lodge, and R. L. Wahl
A novel imaging method for assessing vessel wall inflammation: dynamic multi-bed PET parametric imaging
J. Nucl. Med., vol. 54 (suppl. 2): 1670, 2013. - N. George, J. Brasic, L. Oswald, M. Alexander, H. Kuwabara, A. Rahmim, A. Nandi, A. Mathur, R. Rothman, and D. Wong
Differentiation of the neurobiological effects of amphetamine and amphetamine like stimulants
J. Nucl. Med., vol. 54 (suppl. 2): 1737, 2013. - Z. Shahpouri, A. B. Rajabai, A. K. Asl, J. Hossain, A. Rahmim, S. M. Entezermahdi, S. Mohseni, and N. Yaghoobi
Investigation of accuracy of dynamic myocardial perfusion 201-Thallium SPECT in comparison to conventional static Imaging
Proc. Iranian Congress of Nuc. Med. (ICNM) Annual Meeting, p. 43, 2013. - Z. Shahpouri, A. K. Asl, A. B. Rajabai, A. Rahmim, S. M. Entezermahdi, S. Mohseni, and P. Segars
Evaluation of the 4D NCAT Phantom to Simulate Organ Dynamics
Proc. Iranian Congress of Nuc. Med. Annual Meeting, p. 135, 2013.
2012
- A. Rahmim, J. Coughlin, M. Gonzalez, C. J. Endres, Y. Zhou, D. F. Wong, R. L. Wahl, V. Sossi, and M. G. Pomper
Novel parametric PET image quantification using texture and shape analysis
IEEE Nucl. Sci. Symp. Conf. Record, pp. 2227-2230, 2012. - J. Tang, N. Hall, and A. Rahmim
MRI assisted motion correction in dual-gated 5D myocardial perfusion PET imaging
IEEE Nucl. Sci. Symp. Conf. Record, pp. 4054-4057, 2012. - N. A. Karakatsanis, M. A. Lodge, H. Mohy-ud-Din, A. K. Tahari, Y. Zhou, R. L. Wahl, and A. Rahmim
Enhanced whole-body PET parametric imaging using hybrid regression and thresholding driven by kinetic correlations
IEEE Nucl. Sci. Symp. Conf. Record, pp. 4017-4027, 2012. - H. Mohy-ud-Din, N. A. Karakatsanis, J. S. Goddard, J. Baba, W. Willis, A. K. Tahari, D. F. Wong, and A. Rahmim
Generalized dynamic PET inter-frame and intra-frame motion correction: phantom and human validation studies
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3067-3078, 2012. - A. Mehranian, A. Rahmim, M. R. Ay, and H. Zaidi
An ordered-subsets proximal preconditioned gradient algorithm for total variation regularized PET image reconstruction
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3375-3382, 2012. - A. Mehranian, H. S. Rad, M. R. Ay, A. Rahmim, and H. Zaidi
Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3646-3653, 2012. - H. Mohy-ud-Din, N. A. Karakatsanis, J. C. Price, Y. Zhou, S. M. Resnick, C. J. Endres, W. E. Klunk, C. A. Mathis, D. F. Wong, and A. Rahmim
Investigation of noise-induced correlations in dual-biomarker parametric imaging from dynamic [11C]PiB PET
J. Cereb. Blood Flow & Metab., vol. 32 (suppl. 1), P164, 2012. - C. J. Endres, Y. Zhou, H. Mohy-ud-Din, and A. Rahmim
PETmodel: an SPM toolkit for parametric modeling of dynamic PET data
J. Cereb. Blood Flow & Metab., vol. 32 (suppl. 1), P144, 2012. - A. Harsha, Y. Zhou, J. Sojkova, J. Goh, A. Rahmim, D. Wong, S. Resnick, and J. Prince
Development and validation of an integrative software for automatic MRI and [11C]PiB dynamic PET image processing and parametric imaging
J. Cereb. Blood Flow & Metab., vol. 32 (suppl. 1), P150, 2012. - N. George et al.
Differentiation of dopaminergic from noradrenergic neurobehavioral effects of stimulants
Proc. Intl. Symp. on Functional Neuroreceptor Mapping of the Living Brain (NRM), LB03, 2012. - A. Rahmim, Y. Zhou, J. Price, J. Tang, L. Lu, M. Ay, G. Smith, V. Sossi, and D. Wong
Generalized 4D AB-OSEM direct parametric imaging: application to PiB-PET
J. Nucl. Med., vol. 53 (suppl. 1): 313, 2012. - N. Karakatsanis, M. Lodge, Y. Zhou, J. Mhlanga, A. Tahari, R. Wahl, and A. Rahmim
Towards parametric whole-body FDG PET/CT imaging: potentials for enhanced tumor detectability
J. Nucl. Med., vol. 53 (suppl. 1): 1236, 2012. - L. Lu, N. Karakatsanis, J. Tang, W. Chen, and A. Rahmim
3.5D dynamic PET image reconstruction incorporating kinetics-based clusters
J. Nucl. Med., vol. 53 (suppl. 1): 318, 2012. - H. Jung, J. Coughlin, J. Tang, C. Endres, Y. Zhou, S. Mori, D. Wong, M. Pomper, and A. Rahmim
MRI- and DTI-guided PET Image Reconstruction: Application to Imaging with [11C]DPA-713
J. Nucl. Med., vol. 53 (suppl. 1): 375, 2012. - M. Lodge, A. Rahmim, N. Karakatsanis, Y. Zhou, J. Mhlanga, A. Tahari, and R. Wahl
Implementation and evaluation of a dynamic whole-body PET/CT protocol
J. Nucl. Med., vol. 53 (suppl. 1): 1237, 2012. - Y. Zhou, S. Zhang, J-h. Zhang, N. Karakatsanis, A. Rahmim, M. Lodge, R. Wahl, D. Wong, and R. Fu
Generalized population-based input function estimation given incomplete blood sampling in quantitative dynamic FDG PET studies
J. Nucl. Med., vol. 53 (suppl. 1): 380, 2012. - Y. Zhou, J. Coughlin, A. Rahmim, G. Smith, C. Endres, D. Wong, M. Pomper
A generalized population-based input function estimation approach to minimize blood sampling in radioligand-receptor dynamic PET studies
J. Nucl. Med., vol. 53 (suppl. 1): 377, 2012. - N. Zeraatkar, M. Farahani, H. Arabi, S. Sarkar, S. Sajedi, N. Naderi, P. Ghafarian, A. Rahmim, M. Ay
An innovative rotation-based iterative resolution recovery for HiReSPECT: a dedicated small animal SPECT system
Eur. J. Nucl. Med. Mol. Imag., vol. 39 (suppl. 2): S386-S387, 2012. - A. Rahmim
Emerging shape and texture analysis for medical imaging
Proc. Asia Oceania Congress of Nuc. Med. & Biology, vol. 20 (suppl. 1), p. 23, 2012. - A. Rahmim, N. Karakatsanis, M. Lodge, Y. Zhou, A. Tahari, and R. Wahl
Towards parametric whole-body imaging in clinical PET
Proc. Asia Oceania Congress of Nuc. Med. & Biology, vol. 20 (suppl. 1), p. 63, 2012. - N. Zeraatkar, M. H. Farahani, H. Arabi, S. Sarkar, S. Sajedi, A. Rahmim, and M. R. Ay
Development of image reconstruction code with collimator-detector response function compensation for a preclinical SPECT scanner
Proc. Asia Oceania Congress of Nuc. Med. & Biology, vol. 20 (suppl. 1), p. 36, 2012. - A. Mehranian, A. Rahmim, and M. Ay
A proximal splitting algorithm for TV-regularized PET image reconstruction
Proc. Asia Oceania Congress of Nuc. Med. & Biology, vol. 20 (suppl. 1), p. 43, 2012. - A. Mehranian, H. S. Rad, M. R. Ay, and A. Rahmim
3D TV-Based Compressed MR Image Reconstruction Using a Primal Dual Algorithm
Proc. Intl. Soc. Mag. Reson. Med., vol. 20, pp. 4228, 2012.
2011
- N. Karakatsanis, M. A. Lodge, Y. Zhou, J. Mhlanga, A. Tahari, M. Chaudhry, W. P. Segars, R. L. Wahl, and A. Rahmim
Dynamic multi-bed FDG PET imaging: feasibility and optimization
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3863-3870, 2011. - H. Mohy-ud-Din, N. Karakatsanis, M. R. Ay, C. Endres, D. F. Wong, and A. Rahmim
Generalized inter-frame and intra-frame motion correction in PET imaging – a simulation study
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3858-3862, 2011. - L. Lu, J. Tang, N. Karakatsanis, W. Chen, and A. Rahmim
Cluster-based priors for MAP PET image reconstruction
IEEE Nucl. Sci. Symp. Conf. Record, pp. 2678-2681, 2011. - A. Mehranian, M. R. Ay, A. Rahmim, and H. Zaidi
Sparsity constrained sinogram inpainting for metal artifact reduction in x-ray computed tomography
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3694-3699, 2011. - A. Mehranian, M. R. Ay, A. Rahmim, and H. Zaidi
Metal artifact reduction in CT-based attenuation correction of PET using Sobolev sinogram restoration
IEEE Nucl. Sci. Symp. Conf. Record, pp. 2936-2942, 2011. - H. Ghadiri, M. B. Shiran, M. R. Ay, H. Soltanian-Zadeh, A. Rahmim, and H. Zaidi
A novel energy mapping approach in CT-based attenuation correction of PET data using multi-energy CT imaging
IEEE Nucl. Sci. Symp. Conf. Record, pp. 2510-2515, 2011. - J. Hossain, Y. Du, A. Akhbardeh, A. Rahmim, P. Bravo, E. Frey
Quantitative estimation of organ time-activity curves from SPECT data using a two-camera system
16th Annual Scientific Session of the Amer. Soc. of Nucl. Cardiology, 2011. - A. Rahmim, J. Tang, H. Mohy-ud-Din, M. R. Ay, and M. A. Lodge
Use of optimization transfer for enhanced direct 4D parametric imaging in myocardial perfusion PET
J. Nucl. Med., vol. 52 (suppl. 1): 265, 2011. - J. Tang, F. M. Bengel, Y. Zhou, P. Bravo, and A. Rahmim
Direct 4D parametric image reconstruction for dynamic cardiac PET imaging
J. Nucl. Med., vol. 52 (suppl. 1): 1996, 2011. - H. Mohy-ud-Din, J. Tang, D. F. Wong, and A. Rahmim
Comparison of ordered subset implementations for EM, preconditioned steepest ascent (PSA) and conjugate gradient (PCG) optimization tasks in PET image reconstruction
J. Nucl. Med., vol. 52 (suppl. 1): 1997, 2011. - Y. Zhou, J. Brasic, A. Rahmim, A. Horti, and D. F. Wong
Evaluation of a modeling based plasma input function estimation algorithm for unbiased quantification of ligand-receptor dynamic PET
J. Nucl. Med., vol. 52 (suppl. 1): 157, 2011. - A. H. Crabb, A. Rahmim, and D. F. Wong
Validation and reproducibilty of a PET reconstruction system
XII Turku PET Symposium, Finland, 2011.
2010
- A. Rahmim, J. Tang, M. R. Ay, and F. M. Bengel
4D respiratory motion-corrected Rb-82 myocardial perfusion PET imaging
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3312-3316, 2010. - O. G. Rousset, A. Rahmim, and D. F. Wong
Motion incorporated partial volume correction: methodology and validation
IEEE Nucl. Sci. Symp. Conf. Record, pp. 2359-2361, 2010. - N. Zeraatkar, M. R. Ay, S. Sarkar, A. Rahmim, and P. Geramifar
Quantitative investigation of inter-crystal scatter and penetration in the GE Discovery RX PET/CT scanner using Monte Carlo simulations
IEEE Nucl. Sci. Symp. Conf. Record, pp. 2403-2408, 2010. - A. Rahmim, M. A. Lodge, J. Tang, Y. Zhou, B. Hussain, D. F. Wong, R. Pili, and R. L. Wahl
Dynamic FDG PET imaging using direct 4D parametric reconstruction in cancer patients
J. Nucl. Med., vol. 51 (suppl. 2): 354, 2010. - Y. Zhou, A. Rahmim, M. A. Lodge, H. Jacene, R. Pili, D. F. Wong, and R. L. Wahl
Feasibility of parametric imaging in multi-bed dynamic human FDG PET
J. Nucl. Med., vol. 51 (suppl. 2): 127, 2010. - J. Tang, F. M. Bengel, and A. Rahmim
Cardiac motion-corrected quantitative dynamic Rb-82 PET imaging
J. Nucl. Med., vol. 51 (suppl. 2): 123, 2010. - D. F. Wong et al.
Quantification of cerebral cannabinoid receptors subtype 1 (CB1) in healthy subjects and schizophrenia by the novel PET radioligand [11C]OMAR
J. Nucl. Med., vol. 51 (suppl. 2): 331, 2010. - P. Ghafarian, S.M.R. Aghamiri, M.R. Ay, A. Fard Esfahani, A. Rahmim, T.H. Schindler, O. Ratib, and H. Zaidi
Impact of metal artifact reduction on cardiac FDG-PET/CT studies in the presence of pacemaker and implantable cardio verter defibrillator leads
Iranian J. Nucl. Med., vol. 18 (suppl. 1): 104, 2010. - P. Ghafarian, S.M.R. Aghamiri, M.R. Ay, B. Fallahi, A. Rahmim, T. Schindler, O. Ratib, and H. Zaidi
Coronary calcium score scan-based attenuation correction in viability PET examination: a feasibility study
World J. Nucl. Med., vol. 19 (suppl. 1): S-16, 2010.
2009
- A. Rahmim, Y. Zhou, J. Tang, and D. F. Wong
Direct 4D parametric image reconstruction with plasma input and reference tissue models in reversible binding imaging
IEEE Nucl. Sci. Symp. Conf. Record, pp. 2516-2522, 2009. - J. Tang and A. Rahmim
Anatomy assisted MAP-EM PET image reconstruction incorporating joint entropies of wavelet subband image pairs
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3741-3745, 2009. - A. Rahmim, Y. Zhou, and J. Tang
Direct 4D parametric image estimation in reversible tracer binding imaging
J. Nucl. Med., vol. 50 (suppl. 2): 528, 2009. - J. Tang, A. Rahmim, R. Lautamaki, M. A. Lodge, F. M. Bengel, and B. M. W. Tsui
Optimized regional myocardial blood flow abnormality detection in dynamic Rb-82 PET
J. Nucl. Med., vol. 50 (suppl. 2): 467, 2009. - M. A. Lodge, A. Rahmim, D. F. Wong, and R. L. Wahl
Measuring the effect of count rate on PET spatial resolution using a uniform cylinder phantom
J. Nucl. Med., vol. 50 (suppl. 2): 1483, 2009. - P. Ghafarian, S. Aghamiri, M. R. Ay, A. Rahmim, and H. Zaidi
Quantification of PET and CT data misalignment errors in cardiac PET/CT: clinical and phantom studies
Proc. Intl. Conf. Bioinform. Biomed. Eng., 2009. - S. Lashkari, S. Sarkar, M. R. Ay, and A. Rahmim
The effect of crystal size on position detection accuracy in PET block detectors: a Monte Carlo study
Eur. J. Nucl. Med. Mol. Imaging, vol. 36 (suppl. 2): S409, 2009.
2008
- A. Rahmim, J. Tang, M. A. Lodge, S. Lashkari, M. R. Ay, and F. M. Bengel
Resolution modeled PET image reconstruction incorporating space-variance of positron range: Rubidium-82 cardiac PET imaging
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3643-3650, 2008. - J. Tang, H. Kuwabara, D. F. Wong, and A. Rahmim
Direct 4D reconstruction of parametric images incorporating anato-functional joint entropy
IEEE Nucl. Sci. Symp. Conf. Record, pp. 5471-5474, 2008. - J. Tang, A. Rahmim, R. Lautamaki, M. A. Lodge, F. M. Bengel, and B. M. W. Tsui
Optimization of Rb-82 PET acquisition and reconstruction protocols for myocardial perfusion defect detection
IEEE Nucl. Sci. Symp. Conf. Record, pp. 4629-4635, 2008. - P. Geramifar, M. R. Ay, M. Shamsaie, G. Loudos, and A. Rahmim
Monte Carlo based performance assessment of four commercial GE Discovery PET/CT scanners Using GATE
IEEE Nucl. Sci. Symp. Conf. Record, pp. 3995-3999, 2008. - J. C. Cheng, S. Blinder, A. Rahmim, and V. Sossi
Latest advance in the scatter calibration and combining the scatter calibration with a practical scatter and random approximation technique for dynamic brain
IEEE Nucl. Sci. Symp. Conf. Record, pp. 5060-5065, 2008. - M. Shirmohammad, M. R. Ay, A. Rahmim, S. Sarkar, and H. Zaidi
Comparative assessment of different energy mapping approaches in CT based attenuation correction: a patient study
Proc. Inter. Fed. Med. Biol. Eng., vol. 22, pp. 496-499, 2008. - M. Shirmohammad, M. R. Ay, A. Rahmim, S. Sarkar, and H. Zaidi
A novel energy mapping method for attenuation map generation at 511 keV in computed tomography based attenuation correction
Eur. J. Nucl. Med. Mol. Imag., vol. 35 (suppl. 2): S146, 2008. - P. Geramifar, M. R. Ay, M. Shamsaii Zafarghandi, G. Loudos, and A. Rahmim
Monte Carlo simulation of the GE LYSO-based Discovery RX PET/CT scanner using GATE: a validation study
Eur. J. Nucl. Med. Mol. Imag., vol. 35 (suppl. 2): S175-S176, 2008. - S. Lashkari, S. Sarkar, M. R. Ay, and A. Rahmim
The influence of crystal depth on position detection accuracy and detection efficiency in PET block detector: a Monte Carlo study
Eur. J. Nucl. Med. Mol. Imag., vol. 35 (suppl. 2): S337-S338, 2008. - S. Lashkari, S. Sarkar, M. R. Ay, and A. Rahmim
The influence of crystal material on intercrystal scattering and the parallax effect in PET block detectors: a Monte Carlo study
Proc. Inter. Fed. Med. Biol. Eng., vol. 21, pp. 633-636, 2008. - A. Rahmim, J. Tang, M. A. Lodge, S. Lashkari, M. R. Ay, R. Lautamaki, B. M. Tsui, and F. Bengel
Improved clinical and quantitative dynamic Rb-82 cardiac imaging with resolution modeling
J. Nucl. Med., vol. 49 (suppl. 1): 62P, 2008. - J. Tang, A. Rahmim, R. Lautamaki, M. Lodge, F. Bengel, and B. M. W. Tsui
Optimization of dynamic Rb-82 PET cardiac acquisition protocol using Monte-Carlo simulation
J. Nucl. Med., vol. 49 (suppl. 1): 63P, 2008. - M. A. Lodge, A. Rahmim, F. M. Bengel, and R. L. Wahl
Examining the effect of patient body size on 2D and 3D PET
J. Nucl. Med., vol. 49 (suppl. 1): 121P, 2008. - A. Rahmim, M. A. Lodge, J. Tang, S. Lashkari, and M. R. Ay
Analytic system matrix resolution modeling in PET: an application to Rb-82 cardiac imaging
Proc. IEEE Intl. Symp. Biom. Imag., pp. 1307-1310, 2008. - J. Tang, B. M. W. Tsui, and A. Rahmim
Bayesian PET image reconstruction incorporating anato-functional joint entropy
Proc. IEEE Intl. Symp. Biom. Imag., pp. 1043-1046, 2008. - M. Shirmohammad, M. R. Ay, S. Sarkar, H. Ghaditi, and A. Rahmim
Comparative assessment of different energy mapping methods for generation of 511-keV attenuation map from CT images in PET/CT systems: a phantom study
Proc. IEEE Intl. Symp. Biom. Imag., pp. 644-647, 2008. - P. Geramifar, M. R. Ay, M. Shamsaei-Zafarghandi, G. Loudos, and A. Rahmim
Monte Carlo assessment of time-of-flight benefits benefits on the LYSO-based discovery RX PET/CT scanner
Proc. IEEE Intl. Symp. Biom. Imag., pp. 364-367, 2008. - O. G. Rousset, C. Munro, J. Galecki, A. Nandi, A. Rahmim, and D. F. Wong
Sex-Differences In Amphetamine-Induced Dopamine Release Studied With [11C]RAC/PET: Does Partial Volume Correction Make a Difference?
World Molecular Imag. Conf., Sep. 2008.
2007
- A. Rahmim, K. Dinelle, S. C. Lidstone, S. Blinder, J.-C. Cheng, G. Topping, H. Vajihollahi, D. F. Wong, and V. Sossi
Impact of accurate motion-corrected statistical reconstruction on dynamic PET kinetic parameter estimation
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2697-2704, 2007. - V. Sossi, S. Blinder, A. Rahmim, K. Dinelle, J. C. Cheng, and S. Lidstone
Effect of measurement uncertainty on region of interest based and parametric binding potential estimates for the high resolution research tomograph (HRRT)
IEEE Nucl. Sci. Symp. Conf. Record, vol. 6, pp. 4539-4542, 2007. - J. C. Cheng, A. Rahmim, S. Blinder, and V. Sossi
A global and a segmented plane scatter calibration: improving the quantitative accuracy of frames with high random fraction and/or low number of counts in dynamic high resolution PET brain imaging
IEEE Nucl. Sci. Symp. Conf. Record, vol. 6, pp. 4475-4480, 2007. - A. Rahmim, K. Dinelle, S. Lidtone, S. Blinder, J. C. Cheng, G. Topping, O. Rousset, D. Wong, and V. Sossi
Improved dynamic imaging using a novel event-driven motion correction method in high resolution human brain PET
J. Nucl. Med., vol. 48 (suppl. 2): 416P, 2007. - M. Lodge, A. Khan, A. Rahmim, B. Line, F. Bengel, and R. Wahl
Optimizing injected activity in whole-body 3D PET: Relating NECR and singles rates
J. Nucl. Med., vol. 48 (suppl. 2): 435P, 2007. - Y. Zhou, M. Weed, A. Rahmim, W. Ye, J. Brasic, M. Alexander, A. Crabb, F. Ali, and D. Wong
Linear versus nonlinear regression for quantification of dynamic PET with amphetamine challenge
J. Nucl. Med., vol. 48 (suppl. 2): 160P, 2007. - Y. Zhou, M. Weed, M-K. Chen, A. Rahmim, W. Ye, J. Brasic, M. Alexander, A. Crabb, J. McGlothan, F. Ali, T. Guilarte, and D. Wong
Quantitative dopamine transporter imaging studies in nonhuman primates with a GE Advance and high resolution research tomography (HRRT) PET scanners
J. Nucl. Med., vol. 48 (suppl. 2): 158P, 2007. - A. Kumar, H. Kuwabara, A. Horti, M. Alexander, D. Holt, H. Ravert, Y. Gao, A. Nandi, A. Rahmim, R. Dannals, and D. Wong
Comparison of new PET radiotracers for quantification of nicotinic acetylcholine receptors in the brain
J. Nucl. Med., vol. 48 (suppl. 2): 114P, 2007. - D. F. Wong, O. Rousset, A. Rahmim, A. Kumar, H. Kuwabara, A. Nandi, W. Ye, M. Alexander, J. Brasic, Y. Zhou, B. McCaul, G. Wand
Comparing IV amphetamine-induced 11C raclopride displacement between HRRT and GE advance PET: Implications for high resolution/sensitivity on dopamine release measures
J. Cereb. Blood Flow & Metab., vol. 27 (suppl. 1), pp. PO03-05U, 2007. - Y. Zhou, M. R. Weed, M-K. Chen, A. Rahmim, W. Ye, J. Brasic, M. Alexander, A. H. Crabb, J. McGlothan, F. Ali, T. R. Guilarte, D. F. Wong
Advances in the quantification of [11C]raclopride dynamic PET with amphetamine challenges
J. Cereb. Blood Flow & Metab., vol. 27 (suppl. 1), pp. PO01-06M, 2007. - A. Horti, H. Fan, H. Ravert, J. Hilton, A. Kumar, M. Alexander, A. Rahmim, A. F. Hoffman, C. R. Lupica, H. Kuwabara, D. F. Wong, and R. F. Dannals
[11C]JHU75528, a PET radioligand for imaging of cerebral cannabinoid CB1 receptors
39th Annual Europ. Brain and Behaviour Soc. Abstracts, 2007. - K. M. Wilcox, D. F. Wong, Y. Zhou, M. Alexander, A. Rahmim, and M. R. Weed
Blood levels and dopamine transporter (DAT) occupancy of orally administered methylphenidate (MPH) in juvenile rhesus monkeys measured by high resolution PET
The annual College on Problems of Drug Dependence (CPDD) meeting, June 2007.
2006
- A. Rahmim, K. Dinelle, J. C. Cheng, M. A. Shilov, W. P. Segars, O. G. Rousset, B. M. W. Tsui, D. F. Wong, and V. Sossi
Accurate event driven motion compensation incorporating all detected events
IEEE Nucl. Sci. Symp. Conf. Record, vol. 6, pp. 3331-3338, 2006. - A. Rahmim, J. C. Cheng, K. Dinelle, M. A. Shilov, W. P. Segars, O. G. Rousset, B. M. W. Tsui, D. F. Wong, and V. Sossi
System Matrix Modeling of Externally Tracked Motion
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2137-2141, 2006. - J. P. Jones, A. Rahmim, M. Sibomana, A. Crabb, Z. Burbar, C. B. Cavanaugh, C. Michel, and D. F. Wong
Data processing methods for a high throughput brain imaging PET research center
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2224-2228, 2006. - V. Sossi, S. Blinder, K. Dinelle, S. Lidstone, J. C. Cheng, A. Rahmim, S. McCormick, D. J. Doudet and T. R. Ruth
Comparison between the ROI based and pixel based analysis for neuroreceptor studies performed on the high resolution research tomograph (HRRT)
IEEE Nucl. Sci. Symp. Conf. Record, vol. 5, pp. 2653-2657, 2006. - J. C. Cheng, A. Rahmim, S. Blinder, K. Dinelle, and V. Sossi
The quantitative accuracy and efficiency of the dual reconstruction scheme including a practical scatter/random approximation in dynamic PET imaging
IEEE Nucl. Sci. Symp. Conf. Record, vol. 5, pp. 2744-2724, 2006. - Y. Gao, H. T. Ravert, D. Holt, J. Hilton, C. Endres, M. Alexander, A. Kumar, A. Rahmim, H. Kuwabara, D. F. Wong, R. F. Dannals, and A. G. Horti
A new series of 3-Pyridyl Ether analogs of A-85380 for positron emission tomography (PET) imaging of nicotinic acetylcholine receptors
Molecular Imaging, vol. 5, pp. 209, 2006. - A. Horti, H. Fan, H. Ravert, J. Hilton, A. Kumar, M. Alexander, A. Rahmim, H. Kuwabara, D. Wong, and R. Dannals
PET imaging of cerebral cannabinoid CB1 receptors with [11C]JHU75528
J. Nucl. Med., vol. 47 (suppl. 1): 136P, 2006.
2005
- A. Rahmim, J. C. Cheng, and V. Sossi
Improved noise propagation in statistical image reconstruction with resolution modeling
IEEE Nucl. Sci. Symp. Conf. Record, vol. 5, pp. 2576-2578, 2005. - A. Rahmim, J. C. Cheng, S. Blinder, M-L. Camborde, and V. Sossi
Quantitative accuracy considerations in dynamic state-of-the-art PET imaging (when average counts-per-LOR are (much) smaller than unity)
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2253-2255, 2005. - S. Blinder, M-L. Camborde, K. R. Buckley, A. Rahmim, J. C. Cheng, T. J. Ruth, and V. Sossi
Influence of depth of interaction on spatial resolution and image quality for the HRRT
IEEE Nucl. Sci. Symp. Conf. Record, vol. 3, pp. 1765-1769, 2005. - V. Sossi, M-L. Camborde, S. Blinder, A. Rahmim, J. C. Cheng, K. R. Buckley, Doris J. Doudet, and T. J. Ruth
Dynamic imaging on the high resolution research tomograph (HRRT): non-human primate studies
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 1981-1985, 2005. - V. Sossi et al.
The second generation HRRT – a multi-centre scanner performance investigation
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2195-2199, 2005. - J-C. Cheng, A. Rahmim, S. Blinder, M-L. Camborde, and V. Sossi
Implementation of scatter corrected list-mode OP-EM reconstruction algorithm and a dual (histogram/list-mode) reconstruction scheme for dynamic PET imaging
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2291-2295, 2005. - A. Rahmim, S. Blinder, J. C. Cheng, and V. Sossi
Statistical List-mode reconstruction in quantitative dynamic imaging using the high resolution research tomograph
Fully 3D Reconstr. Meeting in Radiol. and Nucl. Med., Salt Lake City, Utah, 2005.
2004
- A. Rahmim, T. J. Ruth, and V. Sossi
Study of a convergent subsetized list-mode EM reconstruction algorithm
IEEE Nucl. Sci. Symp. Conf. Record, vol. 6, pp. 3978-3982, 2004. - V. Sossi, M-L. Camborde, D. F. Newport, A. Rahmim, G. Tropini, and D. Doudet
The influence of measurement uncertainties on the evaluation of the distribution volume ratio in rat studies on a microPET R4: a phantom study
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2465-2469, 2004. - M-L. Camborde, A. Rahmim, D. F. Newport, S. Siegel, K. R. Buckley, E. Vandervoort, T. J. Ruth, and V. Sossi
Effect of normalization method on image uniformity and binding potential estimates on microPET
IEEE Nucl. Sci. Symp. Conf. Record, vol. 6, pp. 3467-3471, 2004.
2003
- A. Rahmim, P. Bloomfield, S. Houle, M. Lenox, C. Michel, and V. Sossi
Practically feasible histogram-mode and list-mode EM reconstructions with full motion compensation
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2589-2593, 2003. - A. Rahmim, M. Lenox, C. Michel, A. J. Reader, and V. Sossi
Space-variant and anisotropic resolution modeling in list-mode EM reconstruction
IEEE Nucl. Sci. Symp. Conf. Record, vol. 5, pp. 3074-3077, 2003. - V. Sossi, K. R. Buckley, P. Piccioni, A. Rahmim, M.-L. Camborde, S. Lapi, and T. J. Ruth
Printed sources for positron emission tomography (PET)
IEEE Nucl. Sci. Symp. Conf. Record, vol. 4, pp. 2433-2437, 2003. - A. Rahmim, M. Lenox, A. J. Reader, C. Michel. Z. Burbar, T. J. Ruth, and V. Sossi
Weighted iterative list-mode reconstruction for the high resolution research tomograph
Fully 3D Reconstr. Meeting in Radiol. and Nucl. Med. (Mo PM3-2), Saint-Malo, France, 2003.