2025
- L. Polson, S. Kurkowska, C. Li, P. Esquinas, P. Sheikhzadeh, M. Abbasi, F. Benard, C. Uribe*, A. Rahmim* (*co-last-authors)
Uncertainty Propagation from Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry
IEEE Trans. Med. Imag., In Press, 2025 - A. Akhavanallaf, Z. Lu, A. B. Peterson, J. Blakkisrud, S. Kurkowska, S. Yadav, C. Wang, C. Uribe, C. Stokke, A. Rahmim, K. K. Wong, J.-M. Beauregard, T. A. Hope, K. Sjögreen Gleisner, Y. K. Dewaraja
Can 177Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR-PET? Findings from Multicenter Data
J. Nucl. Med., In Press, 2025 C. Li, L. A. Polson, Z. Wi, Y. Zhang, C. Uribe, A. Rahmim
Optical Surface Information-Based Respiratory Phase-Sorting and Motion-incorporated Reconstruction for SPECT Imaging
Medical Physics, In Press, 2025I. Buvat, J. Dutta, A. Jha, E. Siegel, F. Yousefirizi, A. Rahmim, T. Bradshaw
Should end-to-end deep learning replace handcrafted radiomics?
Euro. J. Nucl. Med. Mol. Imag., In Press, 2025- F. Yousefirizi; M. Dassanayake; A. Lopez; A. Reader; G. Cook; C. Mingels; A. Rahmim; R. Seifert; I. Alberts
AI-guided PET Image Reconstruction and Quantification: Novel Methods, Challenges, and Opportunities
PET Clinics, In Press, 2025 M. R. Salmanpour, M. Alizadeh, G. Mousavi, S. Sadeghi, S. Amiri, M. Oveisi, A. Rahmim, I. Hacihaliloglu
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization
IEEE Access, In Press, 2025A. Shrestha, A. Watkins, F. Yousefirizi, A. Rahmim, C. Uribe
RT-utils: A Minimal Python Library for RT-struct Manipulation
Journal of Open Source Software, vol. 10, pp. 7361, 2025.- S.S. Mehrnia, Z. Safahi, A. Mouavi, F. Panahandeh, A. Farmani, R. Yuan, A. Rahmim, M.R. Salmanpour
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review
Journal of Imaging Informatics in Medicine, In Press, 2025 S. Motamedian, N. Cheraghi, S. Mohaghegh, E. Babadi Oregani, M. Amjadi, P. Shobeiri, N. Solouki, N. Ahmadi, H. Mohammad-Rahimi, Y. Bouchareb, A. Rahmim
Prognosis of COVID-19 using Artificial Intelligence: A Systematic Review and Meta-analysis
Front. Biomed. Tech., In Press, 2025D. Du, I. Shiri, F. Yousefirizi, M. R. Salmanpour, J. Lv, H. Wu, W. Zhu, H. Zaidi, L. Lu, A. Rahmim
Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: Application to PET-based prediction of lung cancer subtypes
EJNMMI Physics, vol. 12, pp. 34, 2025M. Obaid, Arman Rahmim, W. P. Segars, J. Brosch-Lenz, C. Uribe
S-values for bone marrow dosimetry in preclinical radiopharmaceutical studies with rodents
EJNMMI Physics, In Press, 2025A. Golzaryan, M. Soltani, F. M. Kashkooli, B. Saboury, A. Rahmim
Personalized Metronomic Radiopharmaceutical Therapy through Injection Profile Optimization via Physiologically based Pharmacokinetic (PBPK) Modeling
Scientific Reports, vol. 15, pp. 4052, 2025M. R. Salmanpour, A. Gorji, A. Mousavi, A. Fathi Jouzdani, N. Sanati, M. Maghsudi, B. Leung, C. Ho, R. Yuan, A. Rahmim
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
Cancers, vol. 17, pp. 285, 2025H. Abdollahi, B. Saboury, T. Yusufaly, I. Alberts, C. Uribe, A. Rahmim
Shifting the Spotlight to Low Dose Rate Radiobiology in Radiopharmaceutical Therapies: Mathematical Modelling, Challenges and Future Directions
IEEE Transactions on Radiation and Plasma Medical Sciences, In Press, 2025Q. de Bourbon, S. Ahamed, P. Blanc-Durand, A. Rahmim, R. Klein
Characterization of Artificial Intelligence Performance for Lesion Detection using Synthetic Lesions in PET Imaging
Medical Physics, In Press, 2025H. Azadinejad, M. Farhadi Rad, A. Shariftabrizi, A. Rahmim, H. Abdollahi
Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy
Diagnostics, vol. 15, pp. 397, 2025G. Hajianfar, O. Gharibi, M. Sabouri, M. Mohebi, M. Amini, M. J. Yasemi, M. Chehreghani, M. Maghsudi, Z. Mansouri, M. Edalat-Javid, S. Valavi, A. Bitarafan Rajabi, Y. Salimi, H. Arabi, A. Rahmim, I. Shiri, H. Zaidi
Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study
Euro. J. Nucl. Med. Mol. Imag., In Press, 2025T. Yusufaly, E. Roncali, J. Brosch-Lenz, C. Uribe, A. K. Jha, G. Currie, J. Dutta, G. El-Fakhri, H. McMeekin, N. Pandit-Taskar, J. Schwartz, K. Shi, L. Strigari, H. Zaidi, B. Saboury, A. Rahmim
Computational Nuclear Oncology Towards Precision Radiopharmaceutical Therapies: Current Tools, Techniques, and Uncharted Territories
J. Nucl. Med., In Press, 2025- L. Strigari, J. Schwarz, T. Bradshaw, J. Brosch-Lenz, G. Currie, G. El-Fakhri, A.K. Jha, S. Mežinska, N. Pandit-Taskar, E. Roncali, K. Shi, C. Uribe, T. Yusufaly, H. Zaidi, A. Rahmim, B. Saboury
Computational Nuclear Oncology Towards Precision Radiopharmaceutical Therapies: Ethical, Regulatory, and Socio-Economical Dimensions of Theranostic Digital Twins
J. Nucl. Med., In Press, 2025 - L. Polson, R. Fedrigo, C. Li, M. Sabouri, O. Dzikunu, S. Ahamed, N. Karakatsanis, S. Kurkowska, P. Sheikhzadeh, P. Esquinas, A. Rahmim*, C. Uribe* (*co-last-authors)
PyTomography: A Python Library for Medical Image Reconstruction
SoftwareX, vol. 29, pp. 109020, 2025 - L. Polson, P. Esquinas, S. Kurkowska, C. Li, P. Sheikhzadeh, M. Abbassi, S. Farzanehfar, S. Mirabedian, C. Uribe, A. Rahmim
Computationally Efficient Collimator-Detector Response Compensation in High Energy SPECT using 1D Convolutions and Rotations
Phys. Med. Biol., In Press, 2025 - M. S. R. Siddiqu, A. Rahmim, E. Haber
Deep Optimal Experimental Design for Parameter Estimation Problems
Physica Scripta, vol. 100, pp. 016005, 2025 - I. Alberts, S. Xue, H. Sari, L. Cavinato, G. Prenosil, A. Afshar‑Oromieh, C. Mingels, K. Shi, F. Caobelli, A. Rahmim, T. Pyka, A. Rominger
Long‑axial field‑of‑view PET/CT improves radiomics feature reliability
Euro. J. Nucl. Med. Mol. Imag., In Press, 2025 - K-N. Lee, A. Rahmim, C. Uribe
Novel Method to Estimate Kinetic Microparameters from Dynamic Whole-Body Imaging in Regular-Axial Field-of-View PET Scanners (arXiv)
Frontiers in Biomed. Tech., In Press, 2025 - O. Gharibi, G. Hajianfar, M. Sabouri, M. Mohebi, S. Bagheri, F. Arian, M. J. Yasemi, A. Bitarafan-Rajabi, A. Rahmim, H. Zaidi, I. Shiri
Myocardial Perfusion SPECT Radiomic Features Reproducibility Assessment: Impact of Image Reconstruction and Harmonization
Medical Physics, In Press, 2025 - B. Bahadorzadeh, R. Faghihi, A. Aghaz, S. Sina, A. Rahmim, M. R. Ay
Implementation of the Wobbling Technique with Spatial Resolution Enhancement Approach in the Xtrim-PET Preclinical Scanner: Monte Carlo Simulation and Performance Evaluation
Frontiers in Biomed. Tech., In Press, 2025 - S. Izadi, I. Shiri, C. F. 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
Z. Med. Phys., In Press, 2025
2024
- A. Rahmim
Artificial intelligence does not do a single thing better than human-beings
International Philosophical Quarterly, vol. 64, pp. 75-83, 2024 - M. Amini, Y. Salimi, G. Hajianfar, I. Mainta, E. Hervier, A. Sanaat, A. Rahmim, I. Shiri, H. Zaidi
Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans
Clinical Nucl. Med., vol. 49, pp. 1079-1090, 2024 - M. Abazari, M. Soltani, F. Eydi, A. Rahmim, F. Kashkooli
Mathematical Modeling of 18F-Fluoromisonidazole (18F-FMISO) Radiopharmaceutical Transport in Vascularized Solid Tumors
Biomed. Phys. Eng. Exp., vol. 10, pp. 065014, 2024 - H. Koniar, L. Wharton, A. Ingham, A.P. Morales Oliver, H. Merkens, C. Rodríguez-Rodríguez, P. Kunz, V. Radchenko, H. Yang, A. Rahmim, C. Uribe, P. Schaffer
Preclinical Evaluation of 226Ac as a Theranostic Agent: Imaging, Dosimetry, and Therapy
J. Nucl. Med., vol. 65, pp. 1762-1768, 2024 - C. Miller, I. Klyuzhin, G. Chaussé, J. Brosch-Lenz; H. Koniar, K. Shi, A. Rahmim, C. Uribe
Impact of Cell Geometry, Cellular Uptake Region, and Tumour Morphology on 225Ac and 177Lu Dose Distributions in Prostate Cancer
EJNMMI Physics, vol. 11, pp. 97, 2024 - O. Dzikuni, M. Sabouri, S. Ahamed, A. Rahmim, C. Uribe, L. Polson
SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction
Journal of Open Source Software, vol. 9, pp. 7399, 2024 A. Toosi, I. Shiri, H. Zaidi, A. Rahmim
Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)
Cancers, vol. 16, pp. 2538, 2024F. Yousefirizi, A. Liyanage, I. Klyuzhin, A. Rahmim
From Code Sharing to Sharing of Implementations: Advancing Reproducible AI Development for Medical Imaging through Federated Testing Journal of Medical Imaging and Radiation Sciences
J. Med. Image. Rad. Sci., vol. 55, pp. 101745K. J. Niemi , Juha Sunikka, H. Soltanian-Zadeh, E. Davoodi-Bojd, A. Rahmim, V. Kaasinen, J. Joutsa
Rest Tremor in Parkinson’s Disease is Associated with Ipsilateral Striatal DAT Binding
Mov. Disord., vol. 39, pp. 2014-2025 , 2024H. Abdollahi, A. Fele-Paranj, A. Rahmim
Model-informed radiopharmaceutical therapy optimization: A study on the impact of PBPK model parameters on physical, biological, and statistical measures in 177Lu-PSMA therapy
Cancers, vol. 16, pp. 3120, 2024H. Vosoughi, F. Emami, M. Momennezhad, P. Geramifar, A. Rahmim
Standardization and optimization of Siemens Biograph TruePoint PET/CT acquisition and reconstruction parameters: Simultaneous qualitative and quantitative assessments
Iranian J. Nucl. Med, vol. 32, pp. 183-193, 2024N. Reshtebar, S. A. Hosseini, M. Zhuang, A. Rahmim, N. A. Karakatsanis, P. Sheikhzadeh
Assessment of dual time point protocols to produce parametric Ki images in FDG PET/CT: A virtual clinical study
Medical Physics, vol. 51, pp. 9088-9102, 2024H. Koniar, S. McNeil, L. Wharton, A. Ingham, M. Van de Voorde, M. Ooms, S. Sekar, C. Rodríguez-Rodríguez, P. Kunz, V. Radchenko, A. Rahmim, C. Uribe, H. Yang, P. Schaffer
Quantitative SPECT imaging of 155Tb and 161Tb for preclinical theranostic radiopharmaceutical development
EJNMMI Physics, vol. 11, pp. 77, 2024H. S. H. Ahn, Y. O. Yazdi, B. J. Wadsworth, K. L. Bennewith, A. Rahmim, I. S. Klyuzhin
Relating macroscopic PET radiomics features to microscopic tumor phenotypes using a stochastic mathematical model of cellular metabolism and proliferation
Cancers, vol. 16, pp. 2215, 2024H. Koniar, L. Wharton, A. Ingham, C. Rodríguez-Rodríguez, P. Kunz, V. Radchenko, H. Yang, A. Rahmim, C. Uribe, P. Schaffer
In vivo quantitative SPECT imaging of Actinium-226: feasibility and proof-of-concept
Phys. Med. Biol., vol. 67, pp. 155003, 2024H. Abdollahi, F. Yousefirizi, I. Shiri, J. Brosch-Lenz, E. Mollaheydar, A. Fele-Paranj, K. Shi, H. Zaidi, I. Alberts, M. Soltani, C. Uribe, B. Saboury, A. Rahmim
Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies
Theranostics, vol. 14, pp. 3404-3422, 2024C. M. Sample, C. Uribe, A. Rahmim, F. Bénard, J. Wu, H. Clark
Heterogeneous PSMA ligand uptake inside parotid glands
Phys. Med., vol 121, pp. 103366, 2024A. Hadjivassiliou , X. Hou , L. Cardarelli-Leite , I. S. Klyuzhin, F. Bénard , D. Klass , S. G. F. Ho, A. Rahmim, D. Liu
Contralateral Hypertrophy Post Yttrium-90 Transarterial Radioembolization in Patients With Hepatocellular Carcinoma and Portal Vein Tumor Thrombus
Cureus, vol. 16, pp. e59260, 2024- B. Bahadorzadeh, R. Faghihi, S. Sina, A. Aghaz, A. Rahmim, M. R. Ay
Design and implementation of continuous bed motion (CBM) in Xtrim preclinical PET scanner for whole-body Imaging: MC simulation and experimental measurements
Phys. Med., vol. 123, pp. 103395, 2024 A. Radnia, A. Alikhani, B. Teimourian, M. Y. Nejad, M. H. Farahani, F. Pashaei, A. Rahmim, H. Zaidi, M. R. Ay
Development of novel low-cost readout electronics for large field-of-view gamma camera detectors
Phys. Med., vol. 121, pp. 103357, 2024F. Yousefirizi, I. Shiri, J. H. O, I. Bloise, P. Martineau, D. Wilson, F. Bénard, L. H. Sehn, K. J. Savage, H. Zaidi, C. F. Uribe, A. Rahmim
Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
Phys. Eng. Sci. Med, vol. 47, pp.833-849, 2024R. Samimi, A. Kamali-Asl, Y. Ahmadyar, J. van den Hoff, P. Geramifar, A. Rahmim
Dual time-point [18F]FDG PET imaging for quantification of metabolic uptake rate: Evaluation of a simple and clinically feasible method
Phys. Med., vol. 121, pp. 103336, 2024A. Piranfar, F. Moradi Kashkooli, W. Zhan, A. Bhandari, B. Saboury, A. Rahmim, M. Soltani
Radiopharmaceutical Transport in Solid Tumors via a 3-Dimensional Image-Based Spatiotemporal Model
npj Systems Biology and Applications, vol. 10, pp. 36, 2024F. Yousefirizi, C. Gowdy, I. S. Klyuzhin, M. Sabouri, P. Tonseth, A. R. Hayden, D. Wilson, L. H. Sehn, D. W. Scott, C. Steidl, K. J. Savage, C. F. Uribe, A. Rahmim
Evaluating Outcome Prediction via Baseline, End-of-Treatment, and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-cell Lymphoma
Cancers, vol. 16, pp. 1090, 2024A. Piranfar, M. Souri, A. Rahmim, M. Soltani
Localized Radiotherapy of Solid Tumors Using Radiopharmaceutical Loaded Implantable System: Insights from a Mathematical Model
Front. Oncol., vol. 14, pp. 1320371, 2024A. Ghafari, P. Sheikhzadeh, N. Seyyedi, M. Abbasi, S. Ahamed, M. R. Ay, A. Rahmim
Automated Deep Identification of Radiopharmaceutical Type and Body Region from PET Images
Iranian J. Nucl. Med., vol. 32, pp. 124-139, 2024C. Sample, A. Rahmim, C. Uribe, F. Bénard, J. Wu, R. Fedrigo, H. Clark
Neural blind deconvolution for deblurring and supersampling PSMA PET
Phys. Med. Biol., vol. 69, pp. 085025, 2024F. Yousefirizi, I. S. Klyuzhin, J. H. O, S. Harsini, X. Tie, I. Shiri, M. Shin, C. Lee, S. Y. Cho, T. Bradshaw, H. Zaidi, F. Bénard, L. H. Sehn, K. J. Savage, C. Steidl, C. F. Uribe, A. Rahmim
TMTV-Net: Fully Automated Total Metabolic Tumor Volume Segmentation in Lymphoma PET/CT Images – a Multi-Center Generalizability Analysis
Euro. J. Nucl. Med. Mol. Imag., vol. 51, pp. 1937-1954, 2024A. Fele-Paranj, B. Saboury, C. Uribe, A. Rahmim
Physiologically Based RadioPharmacoKinetic (PBRPK) Modeling to Simulate and Analyze Radiopharmaceutical Therapies: Studies of Non-Linearities, Multi-Bolus Injections, and Albumin Binding (supplement)
EJNMMI Radiopharmacy and Chemistry, vol. 9, pp. 6, 2024A. Piranfar, M. Soltani, F. Moradi Kashkooli, C. F. Uribe, A. Rahmim
Spatiotemporal Modeling of Radiopharmaceutical Transport in Solid Tumors: Application to 177Lu-PSMA Therapy of Prostate Cancer
Comp. Meth. Prog. Biomed., vol. 245, pp. 108004, 2024I. Klyuzhin, G. Chaussé, I. Bloise, S. Harsini, J.L. Ferres, C. Uribe, A. Rahmim
PSMA-Hornet: fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images
Med. Phys., vol., 51, pp. 1203-1216, 2024E. Yazdani, P. Geramifar, N. Karamzade-Ziarati, M. Sadeghi, P. Amini, A. Rahmim
Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens
Diagnostics, vol. 14, pp. 181, 2024Z. Mansouri, Y. Salimi, A. Akhavanallaf , I. Shiri, E. P. A. Teixeira, X. Hou, J-M. Beauregard, A. Rahmim, H. Zaidi
Deep Transformer-Based Personalized Dosimetry from SPECT/CT Images: Monte Carlo Validation and Comprehensive Analysis for [177 Lu]Lu-DOTA-TATE Radiopharmaceutical Therapy
Euro. J. Nucl. Med. Mol. Imag., vol. 51, pp. 1516-1529, 2024I. Shiri, Y. Salimi, ..., A. Rahmim, H. Zaidi
Differentiation of COVID-19 Pneumonia from Other Lung Diseases Using CT Radiomic Features and Machine Learning: A Large Multicentric Cohort Study
Intern. J. Imaging Systems & Techn., col. 34, pp. e23028, 2024C. Sample, A. Rahmim, F. Bénard, J. Wu, H. Clark
PSMA PET as a predictive tool for subregional importance estimates in the parotid gland
Biomed. Phys. Eng. Express, vol. 10, pp. 025020, 2024R. Fedrigo, R. Coope, A. Rahmim, F. Bénard, C. F. Uribe
Development of the Quantitative PET Prostate Phantom (Q3P) for Improved Quality Assurance of ¹⁸F-PSMA PET Imaging in Metastatic Prostate Cancer
Medical Physics, vol. 51, pp. 4311-4323, 2024M. Fooladi, Y. Soleymani, A. Rahmim, S. Farzanefar, F. Aghahosseini, N. Seyyedi, P. Sh.Zadeh
Impact of Different Reconstruction Algorithms and Setting Parameters on Radiomics Features of PSMA PET Images: A Preliminary Study
Euro. J. Radiol., vol. 172, pp. 111349, 2024P. Whybr et al.
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
Radiology, vol. 310, pp. e231319, 2024- R. Bergen, J-F. Rajotte, F. Yousefirizi, A. Rahmim, R.T. Ng.
Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN
Comp. Meth. Prog. Biomed., vol. 243, pp. 107910, 2024 - I. Shiri, M. Amini, F. Yousefirizi, A. Vafaei Sadr, G. Hajianfar, Y. Salimi, Z. Mansouri, E. Jenabi, M. Maghsoudi, I. Mainta, M. Becker, A. Rahmim, H. Zaidi
Information Fusion for Fully Automated Segmentation of Head and Neck Tumors from PET and CT Images
Med. Physics., vol. 51, pp. 319-333, 2024
2023
M. R. Salmanpour, S. M. Rezaeijo, M. Hosseinzadeh, A. Rahmim
Deep versus handcrafted tensor radiomics features: Prediction of survival in head and neck cancer using machine learning and fusion techniques
Diagnostics, vol. 13, pp. 1696, 2023A. Rahmim, A. Toosi, M. Salmanpour, N. Dubljevic, I. Janzen, I. Shiri, R. Yuan, C. Ho, H. Zaidi, C. MacAulay, C. Uribe, F. Yousefirizi
Tensor radiomics: Paradigm for systematic incorporation of multi-flavoured radiomics features
Quan. Imag. Med. Surg., vol. 13, pp. 7680-769, 2023- I. Shiri, Y. Salimi, E. Hervier, A. Pezzoni, A. Sanaat, S. Mostafaei, A. Rahmim, I. Mainta, H. Zaidi
Artificial Intelligence-Driven Single-Shot PET Image Artifact Detection and Disentanglement Toward Routine Clinical Image Quality Assurance
Clin. Nucl. Med., vol. 48, pp. 1035-1046, 2023 I. Shiri, Y. Salimi, M. Maghsudi, E. Jenabi, S. Harsini, B. Razeghi, S. Mostafaei, G. Hajianfar, A. Sanaat, E. Jafari, R. Samimi, M. Khateri, P. Sheikhzadeh, P. Geramifar, H. Dadgar, A. Bitrafan Rajabi, M. Assadi, F. Bénard, A. Vafaei Sadr, S. Voloshynovskiy, I. Mainta, C. Uribe, A. Rahmim, H. Zaidi
Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement
Eur. J Nucl. Med. Mol. Imaging, vol. 55, pp. 40-53, 2023J. Herington, M.D. McCradden, K. Creel., R. Boellaard, E.C. Jones, K.C. Prabhat, A.K. Jha, A. Rahmim, P.J.H. Scott, J. Sunderland, R.L. Wahl, Z. Sven, B. Saboury
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation
J. Nucl. Med., , 2023- J. Herington, M.D. McCradden, K. Creel., R. Boellaard, E.C. Jones, K.C. Prabhat, A.K. Jha, A. Rahmim, P.J.H. Scott, J. Sunderland, R.L. Wahl, Z. Sven, B. Saboury
Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance
J. Nucl. Med., vol. , 2023 - H. Koniar, C. Miller, A. Rahmim, P. Schaffer, C. Uribe
A GATE simulation study for dosimetry in cancer cell and micrometastasis from the 225Ac decay chain
EJNMMI Phys., vol. 10, pp. 46., 2023 - H. Hemmati, A. Kamali-Asl, P. Ghafarian, A. Rahmim, H. Zaidi, and M. R. Ay
List-mode quantitative joint reconstruction of activity and attenuation maps in Time-of-Flight PET.
J. Instrumentation, vol. 18, pp. 09041, 2023 - M.R. Salmanpour, M. Hosseinzadeh, S.M. Rezaeijo, A. Rahmim
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer
Comp. Meth. Prog. Biomed., vol. 240, pp. 107714, 2023 - M.O. Alamdari, P. Ghafarian, M.R. Ay, A. Rahmim, M. Bakhshayesh-Karam
Impact of random and scatter coincidences from outside of FOV on PET/CT imaging with different reconstruction protocols
Nucl. Sci. Tech., vol. 34, pp. 184, 2023 - B. Ahmed, P. Sheikhzadeh, V. Changizi, M. Abbasi, Y. Soleymani, W. Sarhan, A. Rahmim
CT Radiomics Analysis of Primary Colon Cancer Patients With or Without Liver Metastases: A Correlative Study with [18F]FDG PET Uptake Values
Abdominal Radiology, vol. 48, pp. 3297-3309, 2023 - C. Ayubcha, S.B. Singh, K.H. Patel, A. Rahmim, J. Hasan, L. Liu, T. Werner, A. Alavi
Machine learning in the positron emission tomography imaging of Alzheimer’s disease
Nucl. Med. Comm., vol. 44, pp. 751-766, 2023 - R. Samimi, I. Shiri, Y. Ahmadyar, J. van den Hoff, A. Kamali-Asl, A. Rezaee, F. Yousefirizi, P. Geramifar, A. Rahmim
Radiomics predictive modeling from dual-time-point FDG PET Ki parametric maps: Application to chemotherapy response in lymphoma
EJNMMI Research, vol. 13, pp. 70, 2023 - G. Hajianfar, S. Kalayinia, M. Hosseinzadeh, S. Samanian, M. Maleki, V. Sossi, A. Rahmim, M.R. Salmanpour
Prediction of Parkinson’s disease pathogenic variants using hybrid machine learning systems and radiomic features
Phys. Med., vol. 113, pp. 102647, 2023 - H. Abdollahi, B. Saboury, M. Soltani, K. Shi, C. Uribe, A. Rahmim
Radiopharmaceutical therapy on-a-chip: A perspective on microfluidic-driven digital twins towards personalized cancer therapies
Science Bulletin, vol. 68, pp. 1983-1988, 2023 - S. Ashrafinia, P. Dalaie, T.H. Schindler, M.G. Pomper, A. Rahmim
Standardized Radiomics Analysis of Clinical Myocardial Perfusion Stress SPECT Images to Identify Coronary Artery Calcification
Cureus J. Med. Sci., vol. 15, pp. e43343, 2023 H. Abdollahi, T. Dehesh, N. Abdalvand, A. Rahmim
Radiomics and dosiomics based prediction of radiotherapy-induced xerostomia in head and neck cancer patients
Int. J. Radiat. Biol., vol. 99, pp. 1669-1683, 2023M. Hosseinzadeh, A. Gorji, A.F. Jouzdani, S.M. Rezaeijo, A. Rahmim, M.R. Salmanpour
Prediction of cognitive decline in Parkinson's disease using clinical and DAT SPECT imaging features, and hybrid machine learning systems
Diagnostics, vol. 13, pp. 1691, 2023- T. Bradshaw, Z. Huemann, J. Hu, A. Rahmim
A guide to cross-validation for artificial intelligence in medical imaging
Radiology: AI, vol. 5, pp. e220232, 2023 T. Bradshaw, M. McCradden, A. Jha, J.Dutta, B. Saboury, E. Siegel, A. Rahmim
Artificial intelligence algorithms need to be explainable – or do they?
J. Nucl. Med., , 2023C. Miller, C. Uribe, X. Hou, A. Rahmim, A. Celler
177Lu SPECT imaging in the presence of 90Y: Does 90Y degrade image quantification? A simulation study
Biomed. Phys. Eng. Express, vol. 9, pp. 045003, 2023J. Brosch-Lenz, A. Delker, F. Völter, L. M Unterrainer, L. Kaiser, P. Bartenstein, S. Ziegler, A. Rahmim, C. Uribe, G. Böning
Towards single time point image-based dosimetry of 177Lu-PSMA-617 therapy
J. Nucl. Med., , 2023Y. Xu, I. Klyuzhin, S. Harsini, A. Oritz, S. Zhang, F. Benard, R. Dodhia, C.F. Uribe, A. Rahmim, J. Lavista Ferres
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Comp. Biol. Med. vol. 158, pp. 106882, 2023M. Souri, M. Kiani Shahvandi, M. Chiani, F. Moradi Kashkooli, A. Farhangi, M. Reza Mehrabi, A. Rahmim, V.M. Savage, M. Soltani
Stimuli-sensitive nano-drug delivery with programmable size changes to enhance accumulation of therapeutic agents in tumors
Drug Delivery, vol. 30, pp. 2186312, 2023M. Esmaeili, A. Toosi, A. Roshanpoor, V. Changizi, M. Ghazisaeedi, A. Rahmim, M. Sabokrou
Generative adversarial networks for anomaly detection in biomedical imaging: A study on 7 medical image datasets
IEEE Access, vol. 11, pp. 17906-17921, 2023M.R. Salmanpour, M. Hosseinzadeh, M. Bakhtiyari, M. Maghsudi, A. Rahmim
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features
Intern. J. Imaging Syst. Tech., vol. 33, pp. 1437-1449, 2023H. Vosoughi, M. Momennezhad, F. Emani, M. Hajizadeh, A. Rahmim, P. Geramifar
Multicenter quantitative fluorodeoxyglucose positron emission tomigraphy performance harmonization: use of hottest voxels towards more robust quantification
Quant. Imag. Med. Surg., vol. 13, pp. 2218-2233, 2023- 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. Sunderland, N. Pandit-Taskar, R. L. Wahl, S. Zuehlsdorff, A. Rahmim
Artificial intelligence in nuclear medicine: Opportunities, challenges, and responsibilities toward a trustworthy ecosystem
J. Nucl. Med., vol. 64, pp. 188-196, 2023 M. Hatt, A. K. Krizsan, A. Rahmim, T. J. Bradshaw, P. F. Costa, A. Forgacs, R. Seifert, A. Zwanenburg, I. El Naqa, P. Kinahan, F. Tixier, A. K. Jha, D. Visvikis
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Eur. J. Nucl. Med. Mol. Imaging, vol. 50, pp. 352-375, 2023- F. Farhadi, J. R. Rajagopal, E. M. Veziroglu, H. Abdollahi, I. Shiri, M. Nikpanah, M. A. Morris, H. Zaidi, A. Rahmim, B. Saboury
Multi-scale temporal imaging: from micro- and meso- to macro-scale-time nuclear medicine
PET Clinics, vol. 18, pp. 135-148, 2023 - H. Abdollahi, A. Rahmim
Digital twins for personalized healthcare: Application to radiopharmaceutical therapies
Frontiers in Biomed. Tech., vol. 10, pp. 1-5, 2023 - J. Brosch-Lenz, C. Uribe, A. Rahmim, B. Saboury
Theranostic digital twins: An indispensable prerequisite for personalized cancer care
J. Nucl. Med., vol. , 2023 - M. R. Salmanpour, M. Bakhtiyari, M. Hosseinzadeh, M. Maghsudi, F. Yousefirizi, M. M. Ghaemi, A. Rahmim
Application of novel hybrid machine learning systems and radiomics features for non-motor outcome prediction in Parkinson's disease
Phys. Med. Biol., vol. 68, pp. 035004, 2023 I. Shiri, A. Vafaei Sadr, A. Akhavan, Y. Salimi, A. Sanaat, M. Amini, B. Razeghi, A. Saberi, H. Arabi, S. Ferdowsi, M. Becker, S. Voloshynovskiy, D. Gündüz, A. Rahmim, Habib Zaidi
Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning
Euro. J. Nucl. Med. Mol. Imag., vol. 50, pp. 1034-1050, 2023- R. Sharifpour, P. Ghafarian, M. Bakhshayesh-Karam, C. F. Uribe, A. Rahmim, M. R. Ay
Reducing scan time using time-of-flight protocol in clinical [18F]FDG-PET/CT imaging: A feasibility study
Iranian J. Nucl. Med., vol. 60, p. 1-10, 2023 - D. Du, W. Lv, J. Lv, X. Chen, H. Wu, A. Rahmim, L. Lu
Deep-learning based harmonization of CT reconstruction kernels towards improved clinical task performance
Euro. Radiology, vol. 33, pp. 2426-2438, 2023
2022
- A. Rahmim, J. Brosch-Lenz, A. Fele-Paranj, F. Yousefirizi, M. Soltani, C. Uribe, B. Saboury
Theranostic digital twins for personalized radiopharmaceutical therapies: Reimagining theranostics via computational nuclear oncology
Frontiers in Oncology, vol. 12, pp. 1062592, 2022 - A. K. Jha, T. J. Bradshaw, I. Buvat, M. Hatt, P. Kc, C. Liu, N. F. Obuchowski, B. Saboury, P. J. Slomka, J. L. Sunderland, R. L. Walk, Z. Yu, S. Zuehlsdorff, A. Rahmim, R. Boellaard
Artificial intelligence in nuclear medicine: best practices for evaluation (the RELAINCE guidelines)
J. Nucl. Med., vol. 63, pp. 1288-1299, 2022 - R. Klein, M. Oliver, D. La Russa, J. Agapito, S. Gaede, J-P. Bissonnettee, A. Rahmim, C Uribe
COMP Report: CPQR technical quality control guidelines for use of Positron Emission Tomography - Computed Tomography (PET/CT) in Radiation Treatment Planning
J. Appl. Clin. Med. Phys., vol. 23, pp. e13785, 2022 R. Fedrigo, W. P. Segars, P. Martineau, C. Gowdy, I. Bloise, C. F. Uribe, A. Rahmim
Development of scalable lymphatic system in the 4D XCAT phantom: Application to quantitative evaluation of lymphoma PET segmentations
Med. Phys., vol. 49, pp. 6871-6884, 2022C. Sample, N. Jung, A. Rahmim, C. Uribe, H. Clark
Development of a CT-based auto-segmentation model for prostate-specific membrane antigen (PSMA) positron emission tomography-delineated tubarial glands
Cureus J. Med. Sci., vol. 14, pp. e31060, 2022P. Moradi, Y. Bouchareb, H. Al Dhuhli, I. Shiri, F. Al Kindi, B. Moradi, H. Zaidi, A. Rahmim
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Comp. Biol. Med., vol. 150, pp. 106165, 2022- M. Kiani Shahvandi, M. Soltani, F. Moradi Kashkooli, B. Saboury, A. Rahmim
Spatiotemporal multi-scale modeling of radiopharmaceutical distributions in vascularized solid tumors
Scientific Reports, vol. 12, pp. 14582, 2022 - A. Ghafari, P. Sheikhzadeh, N. Seyyedi, M. Abbasi, S. Farzenefar, F. Yousefirizi, M. R. Ay, A. Rahmim
Generation of 18F-FDG PET standard scan images from short scans using cycle-consistent generative adversarial network
Phys. Med. Biol., vol. 67, pp. 215005, 2022 - H. Koniar, C. Rodriguez-Rodriguez, V. Radchenko, H. Yang, P. Kunz, A. Rahmim, C. Uribe, P. Schaffer
SPECT imaging of 226Ac as a theranostic isotope for 225Ac radiopharmaceutical development
Phys. Med. Biol., vol. 67, pp. 185009, 2022 I. Shiri, S. Mostafaei, A. Haddadi Avval, Y. Salimi, A. Sanaat, A. Akhavanallaf, H. Arabi, A. Rahmim, H. Zaidi
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms
Scientific Reports, vol. 12, pp. 14817, 2022- P. Huang, P. B. Illei, ..., A. Rahmim, ..., S. Lam, E. Gabrielson
Lung cancer recurrence risk prediction through integrated deep learning evaluation
Cancers, vol. 14, pp. 4150, 2022 H. Abdollahi, E. Chin, H. Clark, D. E. Hyde, S. Thomas, J. Wu, C. F. Uribe, A. Rahmim
Radiomics-guided radiation therapy: opportunities and challenges
Phys. Med. Biol., vol. 67, pp. 12TR02, 2022R. F. Gottesman, A. Wu, J. Coresh, D. D. Knopman, C. R. Jack Jr, A. Rahmim et al.
Association of vascular risk and amyloid burden with subsequent dementia
Annals of Neurology, vol. 92, pp. 607-619, 2022A. Monsef, M. R. Ay, P. Sheikhzadeh, P. Geramifar, A. Rahmim, P. Ghafarian
Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study
Nucl. Med. Comm., vol. 43, pp. 1004-1014F. Moradi Kashkooli, M. A. Abazari, M. Soltani, M. Akbarpour, A. Rahmim
Spatiotemporal multi-scale computational model for FDG PET imaging at different stages of tumor growth and angiogenesis
Scientific Reports, vol. 12, pp. 10062, 2022W. Lv, H. Xu, X. Han, H. Zhang, J. Ma, A. Rahmim, L. Lu
Context-aware saliency guided radiomics: application to prediction of outcome and HPV-status from multi-center PET/CT images of head and neck cancer
Cancers, vol. 14, pp. 1674, 2022H. Keller, T. Shek, B. Driscoll, Y. Xu, B. Nghiem, S. Nehmeh, M. Grkovski, C. R. Schmidtlein, M. Budzevich, Y. Balagurunathan, J. J. Sunderland, R. R. Beichel, C. Uribe, T-Y. Lee, F. Li, D. A. Jaffray, I. Yeung
Noise-based image harmonization significantly increases repeatability and reproducibility of radiomics features in PET images: a phantom study
Tomography, vol. 8, pp. 1113-1128, 2022I. Shiri, ..., A. Rahmim, H. Zaidi
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: analysis of a multi-institutional dataset of 14,339 patients
Comp. Biol. Med., vol. 145, pp. 105467, 2022I. S. Klyuzhin, Y. Xu, A. Ortiz, J. M. L. Ferres, G. Hamarneh, A. Rahmim
Testing the ability of convolutional neural networks to learn radiomic features
Comp. Meth. Prog. Biomed., vol. 219, pp. 106750, 2022I. Shiri, A. V. Sadr, M. Amini, Y. Salimi, A. Sanaat, A. Akhavanallaf, B. Razeghi, S. Ferdowsi, A. Saberi, H. Arabi, M. Becker, S. Voloshynovskiy, D. Gunduz, A. Rahmim, H. Zaidi
Decentralized distributed multi-Institutional PET segmentation using a federated deep learning framework
Clinic. Nucl. Med., vol. 47, 606-617, 2022J-M. Beauregard and A. Rahmim
Harmonization of nomenclature for molecular imaging metrics of tumour burden: molecular tumour volume (MTV), total lesion activity (TLA) and total lesion fraction (TLF)
Euro. J. Nucl. Med. Mol. Imag., vol. 49, 424-426, 2022- R. Fedrigo, D. J. Kadrmas, P. E. Edem, L. Fougner, I. S. Klyuzhin, M. P. Petric, F. Bénard, A. Rahmim, C. Uribe
Quantitative evaluation of PSMA PET imaging using a realistic anthropomorphic phantom and shell-less radioactive epoxy lesions
EJNMMI Physics, vol. 9, pp. 2, 2022 - M. Peer-Firozjaei, M. Tajik-Mansoury, P. Geramifar, R. Ghorbani, S. Zarifi, C. Miller, A. Rahmim
Optimized cocktail of 90Y/177Lu for radionuclide therapy of neuroendocrine tumors of various sizes: a simulation study
Nucl. Med. Comm., vol. 43, 646-655, 2022 - I. Shiri, M. Amini, M. Nazari, G. Hajianfar, A. Haddadi Avval, H. Abdollahi, M. Oveisi, H. Arabi, A. Rahmim, H. Zaidi
Impact of feature harmonization on radiogenomics analysis: prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Comp. Biol. Med., vol. 142, 1-12, 2022 - T. J. Bradshaw, R. Boellaard, J. Dutta, A. K. Jha, P. Jacobs, Q. Li, C. Liu, A. Sitek, B. Saboury, P. J. H. Scott, P. J. Slomka, J. J. Sunderland, R. L. Wahl, F. Yousefirizi, S. Zuehlsdorff, A. Rahmim, I. Buvat
Nuclear medicine and artificial intelligence: Best practices for algorithm development
J. Nucl. Med, vol. 63, pp. 500-510, 2022 - V. Oreiller, V. Andrearczyk, M. Jreige, S. Boughdad, H. Elhalawani, J. Castelli, M. Vallieres, S. Zhu, J. Xie, Y. Peng, A. Iantsen, M. Hatt, Y. Yuani, J. Ma, X. Yang, C. Rao, S. Pai, K. Ghimire, X. Feng, M. A. Naser, C. D. Fuller, F. Yousefirizi, A. Rahmim, H. Chen, L. Wang, J. O. Prior, A. Depeursinge
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
Medical Image Analysis, vol. 77, pp. 1-16, 2022 - C. Miller, J. Rousseau, C. F. Ramogida, A. Celler, A. Rahmim, C. F. Uribe
Implications of physics, chemistry and biology for dosimetry calculations using theranostic pairs
Theranostics, vol. 12, 232-259, 2022 - N. Hasani, M. A. Morris, A. Rahmim, R. M. Summers, E. Jones, E. Siegel, B. Saboury
Trustworthy artificial intelligence in medical imaging
PET Clinics, vol 17, pp. 1-12, 2022 - N. Hasani, F. Farhadi, M. A. Morris, M. Nikpanah, A. Rahmim, Y. Xu, A. Pariser, M. T. Collins, R. M. Summers, E. Jones, E. Siegel, B. Saboury
Artificial intelligence in medical imaging and its impact on the rare disease community: threats, challenges and opportunities
PET Clinics, vol 17, pp. 13-29, 2022 - K. A. Zukotynski, V. C. Gaudet, C. F. Uribe, K. Chiam, F. Bénard, V. H. Gerbaudo
Clinical applications of artificial intelligence in positron emission tomography of lung cancer
PET Clinics, vol 17, pp. 77-84, 2022 - K. Ma, S. A. Harmon, I. S. Klyuzhin, A. Rahmim, B. Turkbey
Clinical application of artificial intelligence in positron emission tomography: imaging of prostate cancer
PET Clinics, vol. 17, pp. 137–143, 2022 - N. Hasani, S. S. Paravastu, F. Farhadi, F. Yousefirizi, M. A. Morris, A. Rahmim, M. Roschewski, R. M. Summers, B. Saboury
Artificial intelligence in lymphoma PET imaging: A scoping review (current trends and future directions)
PET Clinics, vol. 17, pp. 145-174, 2022 - F. Yousefirizi, P. Decasez, A. Amyar, S. Ruan, B. Saboury, A. Rahmim
AI-based detection, classification and prediction/prognosis in medical imaging: Towards radiophenomics (arXiv)
PET Clinics, vol. 17, pp. 183-212, 2022 - M. R. Salmanpour, M. Shamsaei, G. Hajianfar, H. Soltanian-Zadeh, A. Rahmim
Longitudinal clustering analysis and prediction of Parkinson’s disease progression using radiomics and hybrid machine learning
Quan. Imag. Med. Surg., vol. 12, pp. 906-919, 2022 - I. Mohammadi, I. Castro, A. Rahmim, J. Veloso
Motion in nuclear cardiology imaging: types, artifacts, detection and correction techniques
Phys. Med. Biol, vol. 67, pp. 02TR02, 2022
2021
- N. Fasaeiyan, M. Soltani, F. Moradi Kashkooli, E. Taatizadeh, A. Rahmim
Computational modeling of FDG PET tracer distribution in solid tumors integrating microvasculature
BMC Biotechnology, vol. 21, pp. 67, 2021 - C. Uribe, A. Peterson, B. Van, R. Fedrigo, J. Carlson, J. Sunderland, E. Frey, Y. K Dewaraja
An international study of factors affecting variability of dosimetry calculations, part 1: design and early results of the SNMMI dosimetry challenge
J. Nucl. Med, vol. 62 (suppl. 3), pp. 36S-47S, 2021 - M. Amini, M. Nazari, I. Shiri, G. Hajianfar, M. R. Deevband, H. Abdollahi, H. Arabi, A. Rahmim, Habib Zaidi
Multi-level multi-modality (PET and CT) fusion radiomics: Prognostic modeling for non-small cell lung carcinoma
Phys. Med. Biol, vol. 66, pp. 205017, 2021 - A. Toosi, A. G. Bottino, B. Saboury, E. Siegel, A. Rahmim
A brief history of AI: how to prevent another winter (a critical review) (arXiv)
PET Clinics, vol. 16, pp. 449-469, 2021 - A. Sitek, S. Ahn, E. Asma, A. Chandler, A. Ihsani, S. Prevrhal, A. Rahmim, B. Saboury, K. Thielemans
Artificial intelligence in PET: an industry perspective (arXiv)
PET Clinics, vol. 16, pp. 483-492, 2021 - A. K. Jha, K. J. Myers, N. A. Obuchowski, Z. Liu, Md Ashequr Rahman, B. Saboury, A. Rahmim, B. A. Siegel
Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician (arXiv)
PET Clinics, vol. 16, pp. 493-511, 2021 - F. Yousefirizi, A. Jha, J. Brosch-Lenz, B. Saboury, A. Rahmim
Toward high-throughput artificial intelligence-based segmentation in oncological PET imaging (arXiv)
PET Clinics, vol. 16, pp. 577-596, 2021 - F. Orlhac, C. Nioche, I. Klyuzhin, A. Rahmim, I. Buvat
Radiomics in PET imaging: a practical guide for newcomers (preprint)
PET Clinics, vol. 16, pp. 597–612, 2021 - J. Brosch-Lenz, F. Yousefirizi, K. Zukotynski, J-M. Beauregard, V. Gaudet, B. Saboury, A. Rahmim, C. Uribe
Role of artificial intelligence in theranostics: toward routine personalized radiopharmaceutical therapies (arXiv)
PET Clinics, vol. 16, pp. 627-641, 2021 - F. Moradi Kashkooli, M. Soltani, M. M. Momeni, A. Rahmim
Enhanced drug delivery to solid tumors via drug-loaded nanocarriers: an image-based computational framework
Frontiers in Oncology, vol. 11, pp. 655781, 2021 - Y. Bouchareb, P. Moradi Khaniabadi, F. Al Kindi, H. Al Dhuhli, I. Shiri, H. Zaidi, A. Rahmim
Artificial intelligence-driven assessment of radiological images for COVID-19
Comp. Biol. Med., vol. 136, pp. 104665, 2021 - Y. Zhu, M. Bilgel, Y. Gao, O. G. Rousset, S. M. Resnick, D. F. Wong, A. Rahmim
Deconvolution-based partial volume correction of PET images with parallel level set regularization
Phys. Med. Biol., vol. 66, pp. 145003, 2021 - Y. Gao, Y. Zhu, M. Bilgel, S. Ashrafinia, L. Lu, A. Rahmim
Voxel-based partial volume correction of PET images via subtle MRI guided non-local means regularization
Physica Medica, vol. 89, pp. 129-139, 2021 - D. G. Black, Y. Oloumi Yazdi, J. Wong, R. Fedrigo, C. Uribe, D. J. Kadrmas, A. Rahmim, I. S. Klyuzhin
Design of an anthropomorphic PET phantom with elastic lungs and respiration modeling
Medical Physics, vol. 48, pp. 4205-4217, 2021 - X. Hou, J. Brosch, C. Uribe, A. Desy, G. Böning, J-M. Beauregard, A. Celler, A. Rahmim
Feasibility of single-time-point dosimetry for radiopharmaceutical therapies
J. Nucl. Med., vol. 62, pp. 1006-1011, 2021 - M. R. Salmanpour, M. Shamsaei, A. Rahmim
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson’s disease
Comp. Meth. Prog. Biomed., vol. 206, pp. 106131, 2021 - I. Shiri et al.
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Comp. Biol. Med., vol. 132, pp. 104304, 2021 - R. L. Wahl et al.
Mars Shot for nuclear medicine, molecular imaging, and molecularly targeted radiopharmaceutical therapy
J. Nucl. Med., vol. 62, pp. 6-14, 2021 - J. Brosch, C. Uribe et al.
Influence of dosimetry method on bone lesion absorbed dose estimates in PSMA therapy: application to mCRPC patients receiving Lu-177-PSMA-I&T
EJNMMI Physics, vol. 8, pp. 26, 2021 - M. Adams, A. Rahmim, J. Tang
Improved motor outcome prediction in Parkinson’s disease applying deep learning to DaTscan SPECT images
Comp. Biol. Med., vol. 132, pp. 104312, 2021 - D. Du, J. Gu, X. Chen, W. Lv, Q. Feng, A. Rahmim, H. Wu, L. Lu
Integration of PET/CT radiomics and semantic features for differentiation between active pulmonary tuberculosis and lung cancer
Molec. Imag. Biol., vol. 23, pp. 287–298, 2021 - M. R. Salmanpour, M. Shamsaei, A. Saberi, G. Hajianfar, H. Soltanian-Zadeh, A. Rahmim
Robust identification of Parkinson’s disease subtypes using radiomics and hybrid machine learning
Comp. Biol. Med., vol. 129, pp. 104142, 2021 - J-C. Cheng, C. Bevington, A. Rahmim, I. Klyuzhin, J. Matthews, R. Boellaard, V. Sossi
Dynamic PET image reconstruction utilizing intrinsic data-driven HYPR4D de-noising kernel
Med. Phys., vol. 5, 2230-2244, 2021
2020
- G. Wang, A. Rahmim, and R. N. Gunn
PET parametric imaging: past, present, and future
IEEE Trans. Rad. Plas. Med. Sci., vol. 4, pp. 663 – 675, 2020. - R. Samimi, A. Kamali-Asl, P. Geramifar, J. van den Hoff, and A. Rahmim
Short-duration dynamic FDG PET imaging: optimization and clinical application
Physica Medica, vol. 80, pp. 193-200, 2020. - H. M. K. McGillivray, C. F. Uribe, A. Rahmim, M. M. Muermann, and R. J. Wassersug
From diagnostics to theranostics—and why better cancer care will always be costly
BC Med. Journal, vol. 62, pp. 373-379, 2020. - X. Hou, H. Ma, P. L. Esquinas, C. F. Uribe, S. Tolhurst, F. Bénard, D. Liu, A. Rahmim, and A. Celler
Impact of image reconstruction method on dose distributions derived from 90Y PET images: phantom and liver radioembolization patient studies
Phys. Med. Biol., vol. 65, pp. 215022, 2020. - I. Shiri, H. Abdollahi, M. R. Atashzar, A. Rahmim, and H. Zaidi
A theranostic approach based on radiolabeled antiviral drugs, antibodies and CRISPR associated proteins for early detection and treatment of SARS-CoV-2 disease
Nucl. Med. Comm., vol. 41, pp. 837-840, 2020. - I. Shiri, G. Hajianfar, A. Sohrabi, H. Abdollahi, S. P. Shayesteh, P. Geramifar, H. Zaidi, M. Oveisi, and A. Rahmim
Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: test-retest and image registration analyses
Med. Phys., vol. 47, pp. 4265-4280, 2020. - H. Abdollahi, I. Shiri, J. J. Bevelacqua, A. Jafarzadeh, A. Rahmim, H. Zaidi, S. A. R. Mortazavi, and S. M. J. Mortazavi
Low dose radiation therapy and convalescent plasma: how a hybrid method may maximize benefits for COVID-19 patients
J. Biomed. Phys. Eng., vol. 10, pp. 387-394, 2020. - I. Shiri, H. Arabi, P. Geramifar, G. Hajianfar, P. Ghafarian, A. Rahmim, M. R. Ay, and H. Zaidi
Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network
Euro. J. Nucl. Med. Mol. Imag., vol. 47, pp. 2533–2548, 2020. - K. H. Leung, W. Marashdeh, R. Wray, S. Ashrafinia, M. G. Pomper, A. Rahmim, and A. K. Jha
A physics-guided modular deep-learning based automated framework for tumor segmentation in PET
Phys. Med. Biol, vol. 65, pp. 245032, 2020. - I. Shiri, H. Maleki, G. Hajianfar, H. Abdollahi, S. Ashrafinia, M. Hatt, H. Zaidi, M. Oveisi, and A. Rahmim
Next generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning algorithms (awarded: Molecular Imaging & Biology, 2020 Clinical Paper of the Year)
Molec. Imag. Biol, vol. 22, pp. 1132-1148, 2020. - A. Zwanenburg et al.
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
Radiology, vol. 295, pp. 328–338, 2020. - M. McNitt-Gray et al.
Standardization in quantitative imaging: a multi-center comparison of radiomics features from different software packages on digital reference objects and patient datasets
Tomography, vol. 6, pp. 118-128, 2020. - M. Soltani, M. Jabbarifar, F. Moradi Kashkooli, and A. Rahmim
Evaluation of inverse methods for estimation of mechanical parameters in solid tumors
Biomed. Phys. Eng. Exp., vol. 6, pp. 035027, 2020. - J. Kang et al.
Transcranial photoacoustic imaging of NMDA-evoked focal circuit dynamics in the rat hippocampus
J. Neural Eng., vol. 17, pp. 025001, 2020. - W. Lv, S. Ashrafinia, J. Ma, L. Lu, and A. Rahmim
Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer
IEEE J. Biomed. Health Informatics, vol. 24, pp. 2268-2277, 2020. - M. R. Salmanpour, M. Shamsaei, A. Saberi, I. S. Klyuzhin, J. Tang, V. Sossi, and A. Rahmim
Machine learning methods for optimal prediction of motor outcome in Parkinson’s disease
Physica Medica, vol. 69, pp. 233-240, 2020. - D. Du, H. Feng, W. Lv, S. Ashrafinia, Q. Yuan, Q. Wang, W. Yang, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Machine learning methods for optimal radiomics-based differentiation between recurrence and inflammation: application to nasopharyngeal carcinoma post-therapy PET/CT images
Molec. Imag. Biol., vol. 22, pp. 730–738, 2020. - S. Rezaei, P. Ghafarian, M. Bakhshayesh-Karam, C. F. Uribe, A. Rahmim, S. Sarkar, and M. R. Ay
The impact of iterative reconstruction protocol, signal-to-background ratio and background activity on measurement of PET spatial resolution
Japanese J. Radiology, vol. 38, pp. 231–239, 2020. - G. Mahmoudi, M. R. Ay, A. Rahmim, and H. Ghadiri
Computationally efficient system matrix calculation techniques in computed tomography iterative reconstruction
J. Med. Sign. Sens., vol. 10, pp. 1-11, 2020.
2019
- S. P. Rowe, L. B. Solnes, Y. Yin, G. Kitchen, M. A. Lodge, N. A. Karakatsanis, A. Rahmim, M. G. Pomper, and J. P. Leal
Imager-4D: New software for viewing dynamic PET scans and extracting radiomic parameters from PET data
J. Digit. Imag., vol. 32, pp. 1071–1080, 2019. - M. R. Salmanpour, M. Shamsaei, A. Saberi, S. Setayeshi, I. S. Klyuzhin, V. Sossi, and A. Rahmim
Optimized machine learning methods for prediction of cognitive outcome in Parkinson’s disease
Comp. Biol. Med., vol. 111, pp. 103347, 2019. - S. Rezaei, P. Ghafarian, A. K. Jha, A. Rahmim, S. Sarkar, and M. R. Ay
Joint compensation of motion and partial volume effects by iterative deconvolution method associated with wavelet-based denoising in oncologic PET/CT imaging
Physica Medica, vol. 68, pp. 52-60, 2019. - N. Ahmadi, A. Karimian, M. N. Nasrabadi, and A. Rahmim
Assessment of fetal and maternal radiation absorbed dose in 18F-FDG PET imaging
Intern. J. Rad. Res., vol. 17, pp. 651-657, 2019. - G. Mahmoudi, M. R. Fouladi, M. R. Ay, A. Rahmim, and H. Ghadiri
Sparse-view statistical image reconstruction with improved total variation regularization for X-ray micro-CT imaging
J. Instrumentation, vol. 14, pp. P08023, 2019. - I. Shiri, P. Ghafarian, P. Geramifar, K. H. Leung, M. Ghelichoghli, M. Oveisi, A. Rahmim, and M. R. Ay
Direct attenuation correction of brain PET images using only Emission data via a deep convolutional encoder-decoder (Deep-DAC)
European Radiology, vol. 29, pp. 6867-6879, 2019. - J. Kang et al.
Transcranial recording of electrophysiological neural activity in the rodent brain in vivo using functional photoacoustic imaging of near-infrared voltage-sensitive dye
Frontiers in Neuroscience, vol. 13, 579, 2019. - A. Rahmim, M. A. Lodge, N. A. Karakatsanis, V. Y. Panin, Y, Zhou, A. McMillan, S. Cho, H. Zaidi, M. E. Casey, and R. L. Wahl
Dynamic whole-body PET imaging: principles, potentials and applications
Euro. J. Nucl. Med. Mol. Imag., vol. 46, pp. 501–518, 2019. - J. Tang, B. Yang, N. N. Shenkov, I. S. Klyuzhin, S. Fotouhi, E. Davoodi-Bojd, L. Lu, H. Soltanian-Zadeh, V. Sossi, and A. Rahmim
Artificial neural network based prediction of outcome in Parkinson’s disease patients using DaTscan SPECT imaging features
Med. Imag. Biol, vol. 21, pp. 1165-1173, 2019. - A. Rahmim, K. P. Bak-Fredslund, S. Ashrafinia, L. Lu, C. R. Schmidtlein, R. M. Subramaniam, A. Morsing, S. Keiding, J. Horsager, and O. L. Munk
Prognostic modeling for patients with colorectal liver metastases incorporating FDG PET radiomic features
Euro. J. Radiol., vol. 113, pp. 101-109, 2019. - W. Lv, Q. Yuan, Q. Wang, J. Ma, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Radiomics analysis of PET and CT components of PET/CT imaging integrated with clinical parameters: application to prognosis for nasopharyngeal carcinoma
Mol. Imag. Biol, vol. 21, pp. 954-964, 2019. - A. Ketabi, P. Ghafarian, M. A. Mosleh-Shirazi, S. R. Mahdavi, A. Rahmim, and M. R. Ay
Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors
Euro. Radiol., vol. 29, pp. 2146–2156, 2019. - I. S. Klyuzhin, J. F. Fu, N. Shenkov, A. Rahmim, and V. Sossi
Use of generative disease models for analysis and selection of radiomic features in PET
IEEE Trans. Rad. Plas. Med. Sci., vol. 3, pp. 178-191, 2019.
2018
- I. S. Klyuzhin, J. F. Fu, A. Hong, M. Sacheli, N. Shenkov, M. Matarazzo, A. Rahmim, A. J. Stoessl, and V. Sossi
Data-driven, voxel-based analysis of brain PET images: application of PCA and LASSO Methods to visualize and quantify patterns of neurodegeneration
PLoS ONE, vol. 13, pp. e0206607, 2018. - S. Shojaeilangari, C. R. Schmidtlein, A. Rahmim, and M. R. Ay
Recovery of missing data in partial geometry PET scanners: compensation in projection space versus image space
Med. Phys, vol. 45, pp. 5437-5449, 2018. - Y. Zhu, A. K. Jha, D. F. Wong, and A. Rahmim
Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization
Biomed. Opt. Exp., vol. 9, pp. 3106-3121, 2018. - M. A. Lodge, J. P. Leal, A. Rahmim, J. J. Sunderland, and E. C. Frey
Measuring PET spatial resolution using a cylinder phantom positioned at an oblique angle
J. Nucl. Med., vol. 59, pp. 1768-1775, 2018. - N. Salehi, A. Rahmim, E. Fatemizadeh, A. Akbarzadeh, M. H. Farahani, S. Farzanefar, and M. R. Ay
Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study
Physica Medica, vol. 49, pp. 77-82, 2018. - H. Ghadiri, M. R. Fouladi, and A. Rahmim
An analysis scheme for investigation of effects of various parameters on signals in acoustic-resolution photoacoustic microscopy of mice brain: a simulation study
Frontiers in Biomed. Tech., vol. 4, pp. 59-69, 2018. - W. Lv, Q. Yuan, Q. Wang, J. Ma, J. Jiang, W. Yang, Q. Feng, W. Chen, A. Rahmim, and L. Lu
Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT
Euro. Radiol., vol. 8, pp. 3245–3254, 2018. - A. K. Jha, Y. Zhu, S. Arridge, D. F. Wong, and A. Rahmim
Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging
Biomed. Opt. Exp., vol. 9, pp. 1389-1407, 2018. - N. Ahmadi, M. N. Nasrabadi, A. Karimian, and A. Rahmim
Estimation of fetal absorbed dose from low-dose attenuation-correction CT in PET/CT imaging by using the Body Builder Phantom
Iranian J. Rad. Safety & Meas., vol. 6, pp. 45-53, 2018. - A. Emami, H. Ghadiri, A. Rahmim, and M. R. Ay
A novel dual energy method for enhanced quantitative computed tomography
J. Instrumentation, vol. 13, pp. P01030, 2018. - Z. Etemadi, P. Ghafarian, A. Bitarafan-Rajabi, H. Malek, A. Rahmim, and M. R. Ay
Is correction for metallic artefacts mandatory in cardiac SPECT/CT imaging in the presence of pacemaker and implantable cardioverter defibrillator leads?
Iranian J. Nucl. Med., vol. 26, pp. 35-46, 2018. - L. Lu, X. Ma, H. Mohy-ud-Din, J. Ma, Q. Feng, A. Rahmim, and W. Chen
Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition
Comp. Meth. Prog. Biomed., vol. 154, p. 57-69, 2018.
2017
- A. Rahmim, P. Huang, N. Shenkov, S. Fotouhi, E. Davoodi-Bojd, L. Lu, Z. Mari, H. Soltanian-Zadeh, and V. Sossi
Improved prediction of outcome in Parkinson’s disease using radiomics analysis of longitudinal DAT SPECT Images (supplement)
NeuroImage: Clinical, vol. 16, pp. 539-544, 2017. - R. Sharifpour, P. Ghafarian, A. Rahmim, and M. R. Ay
Quantification and reduction of respiratory induced artifacts in positron emission tomography/computed tomography using the time-of-flight technique
Nucl. Med. Comm., vol. 38, pp. 948–955, 2017. - M. Khazaee, A. Kamali-Asl, P. Geramifar, and A. Rahmim
Low-dose 90Y PET/CT imaging optimized for lesion detectability and quantitative accuracy: a phantom study to assess feasibility of pre-therapy imaging to plan therapeutic dose
Nucl. Med. Comm., vol. 38, pp. 985–997, 2017. - R. F. Gottesman et al.
Association between midlife vascular risk factors and estimated brain amyloid deposition
JAMA, vol. 317, pp. 1443-1450, 2017. - S. Ashrafinia, H. Mohy-ud-Din, N. A. Karakatsanis, A. K. Jha, M. Casey, D. J. Kadrmas, and A. Rahmim
Generalized PSF modeling for optimized quantitation in PET imaging
Phys. Med. Biol., vol. 62, pp. 5149-5179, 2017. - I. Shiri, A. Rahmim, P. Ghaffarian, P. Geramifar, H. Abdollahi, and A. Bitarafan-Rajabi
The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies
European Radiology, vol. 27, pp. 4498-4509, 2017. - B. A. Anderson, H. Kuwabara, D. F. Wong, J. Roberts, A. Rahmim, J. R. Brasic, and S. M. Courtney
Linking dopaminergic reward signals to the development of attentional bias: a positron emission tomographic study
NeuroImage, vol. 157, pp. 27-33, 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
Listening to membrane potential: photoacoustic voltage-sensitive dye recording
J. Biomed. Optics, vol. 22, pp. 045006, 2017. - J. Tang, X. Wang, X. Gao, P. Segars, M. Lodge, and A. Rahmim
Enhancing ejection fraction measurement through 4D respiratory motion compensation in cardiac PET imaging (also see featured news article @ medicalphysicsweb)
Phys. Med. Biol., vol. 62, pp. 4496–4513, 2017. - N. Ahmadi, M. N. Nasrabadi, A. Karimian, and A. Rahmim
A TLD based method to estimate bowtie filter shape in PET/CT
Intern. J. Rad. Res., vol. 15, pp. 383-390, 2017. - S. K. Gerdekoohi, N. Vosoughi, K. Tanha, M. Asadi, P. Ghafarian, A. Rahmim, and M. R. Ay
Implementation of absolute quantification in small-animal SPECT imaging: phantom and animal studies
J. Appl. Clin. Med. Phys., vol. 18, pp. 215-223, 2017. - P. Knoll, A. Rahmim, S. Gültekin, M. Samal, M. Ljungberg, S. Mirzaei, P. Segars, and B. Szczupak
Improved scatter correction with factor analysis for planar and SPECT imaging
Rev. Sci. Instrum., vol. 88, pp. 094303, 2017. - J. Tang, X. Wang, and A. Rahmim
MRI assisted dual motion correction for myocardial perfusion defect detection in PET imaging
Med. Phys., vol. 44, pp. 4536-4547, 2017. - A. K. Jha, E. Mena, B. Caffo, S. Ashrafinia, A. Rahmim, E. Frey, and R. M. Subramaniam
A practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in PET
J. Med. Imag., vol. 4, pp. 011011, 2017. - E. Mena, M. Taghipour, S. Sheikhbahaei, A. K. Jha, A. Rahmim, L. Solnes, and R. M. Subramaniam
Value of intratumoral metabolic heterogeneity and quantitative 18F-FDG PET/CT parameters to predict prognosis in patients with HPV-positive primary oropharyngeal squamous cell carcinoma
Clinic. Nucl. Med., vol. 42, p. e227-e234, 2017. - M. Soltani, M. Sefidgar, H. Bazmara, M. E. Casey, R. M. Subramaniam, R. L. Wahl, and A. Rahmim
Spatiotemporal distribution modeling of PET tracer uptake in solid tumors
Ann. Nucl. Med., vol. 31, pp. 109-124, 2017. - N. Zeraatkar, A. Rahmim, S. Sarkar, and M. R. Ay
Development and evaluation of image reconstruction algorithms for a novel desktop SPECT system
Asia Oceania J. Nucl. Med. Biol., vol. 5, pp. 120-133, 2017. - M. Soufi, A. Kamali-Asl, P. Geramifar, and A. Rahmim
A novel framework for automated segmentation and labeling of homogeneous versus heterogeneous lung tumors in [18F]FDG PET imaging
Molec. Imag. Biol., vol. 19, pp. 456-468, 2017.
2016
- A. Rahmim, Y. Salimpour, S. Jain, S. Blinder, I. S. Klyuzhin, G. S. Smith, Z. Mari, and V. Sossi
Application of texture analysis to DAT SPECT imaging: relationship to clinical assessments
NeuroImage: Clinical, vol. 12, pp. e1-e9, 2016. - R. F. Gottesman et al.
The ARIC-PET amyloid imaging study: brain amyloid differences by age, race, sex, and APOE (supplement; also see editorial @ Neurology)
Neurology, vol. 87, pp. 473-480, 2016. - L. Lu, W. Lv, J. Jiang, J. Ma, Q. Feng, A. Rahmim, and W. Chen
Robustness of radiomic features in [11C]Choline and [18F]FDG PET/CT imaging of nasopharyngeal carcinoma: impact of segmentation and discretization (supplement)
Molec. Imag. Biol., vol. 18, pp. 935-945, 2016. - N. A. Karakatsanis, M. E. Casey, M. A. Lodge, A. Rahmim, and H. Zaidi
Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation-maximization reconstruction (also see 1- featured news article @ medicalphysicsweb; 2- top 10 most popular PMB articles in 2016)
Phys. Med. Biol., vol. 61, pp. 5456–5485, 2016. - F. Aalamifar, R. Seifabadi, M. Bernardo, Ayele H. Negussie, B. Turkbey, M. Merino, P. Pinto, A. Rahmim, B. J. Wood, and E. M. Boctor
Ultrasound tomosynthesis: a new paradigm for quantitative imaging of the prostate
Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 577-584, 2016. - N. Zeraatkar, M. H. Farahani, A. Rahmim, S. Sarkar, and M. R. Ay
Design and assessment of a novel SPECT system for desktop open-gantry imaging of small animals: a simulation study
Med. Phys., vol. 43, pp. 2581-2597, 2016. - A. Rahmim, C. R. Schmidtlein, A. Jackson, S. Sheikhbahaei, C. Marcus, S. Ashrafinia, M. Soltani, and R. M. Subramaniam
A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction
Phys. Med. Biol., vol. 61, pp. 227-242, 2016. - M. Soufi, A. R. Kamali-Asl, P. Geramifar, M. Abdoli, and A. Rahmim
Combined fuzzy logic and random walker algorithm for PET image tumor delineation
Nucl. Med. Comm., vol. 37, 171-181, 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
The role of dopamine in value-based attentional orienting (also see commentary @ Johns Hopkins Magazine)
Current Biology, vol. 26, pp. 550-555, 2016. - S. Sheikhbahaei, R. Wray, B. Young, E. Mena, M. Taghipour, A. Rahmim, and R. M. Subramaniam
18F-FDG-PET/CT therapy assessment of locally advanced pancreatic adenocarcinoma: impact on management and utilization of quantitative parameters for patient survival prediction
Nucl. Med. Comm., vol. 37, pp. 231-238, 2016. - S. Sheikhbahaei, C. Marcus, R. Wray, A. Rahmim, M. A. Lodge, and R. M. Subramaniam
Impact of point-spread function reconstruction on quantitative 18F-FDG-PET/CT imaging parameters and inter-reader reproducibility in solid tumors
Nucl. Med. Comm., vol. 37, pp. 288-296, 2016. - H. Bazmara, M. Soltani, M. Sefidgar, M. Bazargan, M. Mousavi, A. Rahmim
Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis
Med. Biol. Eng. Comp., vol. 54, pp. 547-558, 2016. - R. Wray, C. Marcus, S. Sheikhbahaei, E. Zan, R. Ferraro, A. Rahmim, and R. M. Subramaniam
Therapy response assessment and patient outcomes in head and neck squamous cell carcinoma: FDG PET Hopkins criteria versus residual neck node size and morphologic features
Am. J. Roentgenology, vol. 207, pp. 641-647, 2016.
2015
- N. A. Karakatsanis, Y. Zhou, M. A. Lodge, M. E. Casey, R. L. Wahl, H. Zaidi, and A. Rahmim
Generalized whole-body Patlak parametric imaging for enhanced quantification in clinical PET
Phys. Med. Biol., vol. 40, pp. 8643-8673, 2015. - H. Mohy-ud-Din, M. A. Lodge, and A. Rahmim
Quantitative myocardial perfusion PET parametric imaging at the voxel-level
Phys. Med. Biol., vol. 60, pp. 6013-6037, 2015. - H. Mohy-ud-Din, N. A. Karakatsanis, W. Willis, A. K. Tahari, D. F. Wong, and A. Rahmim
Intra-frame motion compensation in multi-frame brain PET imaging
Frontiers in Biomed. Tech., vol. 2, pp. 366-379, 2015. - C. Marcus, A. Antoniou, A. Rahmim, P. Ladenson, and and R. M. Subramaniam
Fluorodeoxyglucose positron emission tomography/computerized tomography in differentiated thyroid cancer management: Importance of clinical justification and value in predicting survival
J. Med. Imag. Rad. Onc., vol. 59, 281-288, 2015. - J. Hossain, Y. Du, J. Links, A. Rahmim, N. Karakatsanis, A. Akhbardeh, J. Lyons, and E. Frey
Estimation of dynamic time activity curves from dynamic cardiac SPECT imaging
Phys. Med. Biol., vol. 60, pp. 3193-3208, 2015. - H. Bazmara, M. Soltani, M. Sefidgar, M. Bazargan, M. Mousavi, A. Rahmim
The vital role of blood flow-induced proliferation and migration in capillary network formation in a multiscale model of angiogenesis
PLoS ONE, vol. 10, pp. e0128878, 2015. - L. Lu, J. Ma, Q. Feng, W. Chen, and A. Rahmim
Anatomy-guided brain PET imaging incorporating a joint prior model
Phys. Med. Biol., vol. 60, pp. 2145-66, 2015. - J. Tang and A. Rahmim
Anatomy assisted PET image reconstruction incorporating multi-resolution joint entropy
Phys. Med. Biol., vol. 60, pp. 31-48, 2015.
2014
- F. A. Kotasidis, C. Tsoumpas, and A. Rahmim
Advanced kinetic modelling strategies: towards adoption in clinical PET imaging (invited review article)
Clinic. & Transl. Imaging, vol. 2, pp. 219-237, 2014. - A. Rahmim, A. K. Tahari, and T. H. Schindler
Towards quantitative myocardial perfusion PET in the clinic
J. Am. Coll. Radiol., vol. 11, pp. 429-432, 2014. - A. K. Tahari, P. E. Bravo, A. Rahmim, F. M. Bengel, and Z. Szabo
Initial human experience with Rubidium-82 renal PET/CT imaging
J. Med. Imag. Rad. Onc., vol. 58, pp. 25-31, 2014. - H. Ghadiri, M. B. Shiran, H. R. Soltanian-Zadeh, A. Rahmim, H. Zaidi, and M. R. Ay
Derivation of attenuation map for attenuation correction of PET data in the presence of nanoparticulate contrast agents using spectral CT imaging
Ann. Nucl. Med., vol. 28, pp. 559-570, 2014. - P. Ghafarian, M. R. Ay, A. Fard-Esfahani, A. Rahmim, and H. Zaidi
Quantification of PET and CT misalignment errors due to bulk motion in cardiac PET/CT imaging: phantom and clinical studies
Frontiers in Biomed. Tech., vol. 1, pp. 159-167, 2014. - Z. Shahpouri, A. K. Asl, A. B. Rajabi, J. Hossain, S. M. Entezarmahdi, S. Mohseni, N. Yaghoobi, and A. Rahmim
A comparative assessment of dynamic and conventional Thallium-201 SPECT myocardial perfusion imaging: Monte Carlo simulations and case studies
Frontiers in Biomed. Tech., vol. 1, pp. 91-102, 2014. - N. Zeraatkar, S. Sajedi, M. H. Farahani, H. Arabi, S. Sarkar, P. Ghafarian, A. Rahmim, and M. R. Ay
Resolution-recovery-embedded image reconstruction for a high-resolution animal SPECT
Physica Medica, vol. 30, pp. 774-781, 2014. - S. Sajedi, N. Zeraatkar, V. Moji, M. H. Farahani, S. Sarkar, H. Arabi, B. Tehmoorian, P. Ghafarian, A. Rahmim, and M. R. Ay
Design and development of a high resolution animal SPECT scanner dedicated for rat and mouse imaging
Nucl. Inst. & Methods in Phys. Research A, vol. 741, pp. 169-176, 2014. - A. Rahmim, J. Tang, and H. Mohy-ud-Din
Direct 4D parametric imaging in dynamic myocardial perfusion PET
Frontiers in Biomed. Tech., vol. 1, pp. 4-13, 2014. - N. A. Karakatsanis, G. Loudos, A. Rahmim, and K. Nikita
Monte-Carlo based characterization of the counting rate (NECR) response for personalized optimization of the administered activity in clinical PET imaging
Frontiers in Biomed. Tech., vol. 1, pp. 14-34, 2014.
2013
- A. M. Alessio, A. Rahmim, and C. G. Orton (Moderator)
Resolution modeling enhances PET imaging (invited point/counterpoint) (erratum)
Med. Phys., vol. 40, pp. 120601, 2013. - A. Rahmim and J. Tang
Noise propagation in resolution modeled PET imaging and its impact on detectability
Phys. Med. Biol., vol. 58, pp. 6945-6968, 2013. - N. A. Karakatsanis, M. A. Lodge, A. K. Tahari, Y. Zhou, R. L. Wahl, and A. Rahmim
Dynamic whole body PET parametric imaging: I. concept, acquisition protocol optimization and clinical application
Phys. Med. Biol., vol. 58, pp. 7391-7418, 2013. - N. A. Karakatsanis, M. A. Lodge, Y. Zhou, R. L. Wahl, and A. Rahmim
Dynamic whole body PET parametric imaging: II. task-oriented statistical estimation
Phys. Med. Biol., vol. 58, pp. 7419-7445, 2013. - A. Rahmim, J. Qi, and V. Sossi
Resolution modeling in PET imaging: theory, practice, benefits, and pitfalls (review article)
Med. Phys., vol. 40, pp. 064301, 2013. - A. Rahmim, J. Tang, and H. Zaidi
Four-dimensional image reconstruction strategies in cardiac-gated and respiratory-gated PET imaging (invited review article)
PET Clinics, vol. 8, pp. 51-67, 2013. - P. Geramifar, M. S. Zafarghandi, P. Ghafarian, A. Rahmim, and M. R. Ay
Respiratory-induced errors in tumor quantification and delineation in CT attenuation corrected PET images: effects of tumor size, tumor location and respiratory trace – a simulation study using the 4D XCAT Phantom
Molec. Imag. Biol., vol. 15, pp. 655-665, 2013. - A. Mehranian, M. R. Ay, A. Rahmim, and H. Zaidi
X-ray CT metal artifact reduction using wavelet domain L0 sparse regularization
IEEE Trans. Med. Imag., vol. 32, pp. 1707-1722, 2013. - A. Mehranian, M. R. Ay, A. Rahmim, and H. Zaidi
3D prior image constrained projection completion for X-ray CT metal artifact reduction
IEEE Trans. Nucl. Sci., vol. 60, pp. 3318-3332, 2013. - A. Mehranian, A. Rahmim, M. R. Ay, F. Kotasidis, and H. Zaidi
An ordered-subsets proximal preconditioned gradient algorithm for edge-preserving PET image reconstruction
Med. Phys., vol. 40, pp. 052503, 2013. - S. Sajedi, A. Kamali-Asl, M. R. Ay, M. H. Farahani, and A. Rahmim
A novel non-linear recursive filter design for extracting high rate pulse features in nuclear medicine imaging and spectroscopy
Med. Eng. Phys., vol. 35, pp. 754-764, 2013. - A. Mehranian, H. S. Rad, A. Rahmim, M. R. Ay, and H. Zaidi
Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme
Mag. Reson. Imag., vol. 31, pp. 1399-1411, 2013.
2012
- L. Lu, N. A. Karakatsanis, J. Tang, W. Chen, and A. Rahmim
3.5D dynamic PET image reconstruction incorporating kinetics-based clusters
Phys. Med. Biol., vol. 57, pp. 5035-5055, 2012. - A. Rahmim, Y. Zhou, J. Tang, L. Lu, V. Sossi, and D. F. Wong
Direct 4D parametric imaging for linearized models of reversibly binding PET tracers using generalized AB-EM reconstruction
Phys. Med. Biol., vol. 57, pp. 733-755, 2012.
2011
- N. Zeraatkar, M. R. Ay, P. Ghafarian, S. Sarkar, P. Geramifar, and A. Rahmim
Monte Carlo-based evaluation of inter-crystal scatter and penetration in the PET subsystem of three GE Discovery PET/CT scanners
Nucl. Inst. & Methods in Phys. Research A, vol. 659, pp. 508-514, 2011. - P. Geramifar, M. R. Ay, M. S. Zafarghandi, S. Sarkar, G. Loudos, and A. Rahmim
Investigation of time-of-flight benefits in an LYSO-based PET/CT scanner: A Monte Carlo study using GATE
Nucl. Inst. & Methods in Phys. Research A, vol. 641, pp. 121-127, 2011. - J. Tang, W. P. Segars, T-S. Lee, X. He, A. Rahmim, and B. M. W. Tsui
Quantitative study of cardiac motion estimation and abnormality classification in emission computed tomography
Med. Eng. Phys., vol. 33, p. 563-572, 2011. - M. R. Ay, M. Shirmohammad, S. Sarker, A. Rahmim, and H. Zaidi
Comparative assessment of energy mapping approaches in CT-based attenuation correction for PET
Molec. Imag. Biol., vol. 13, pp. 187-198, 2011. - P. Ghafarian P, S. M. Aghamiri, M. R. Ay, A. Rahmim, T. H. Schindler, O. Ratib, and H. Zaidi
Is metal artefact reduction mandatory in cardiac PET/CT imaging in the presence of pacemaker and implantable cardioverter defibrillator leads?
Eur. J. Nucl. Med. Mol. Imaging, vol. 38, p. 252-262, 2011.
2010
- J. Tang, H. Kuwabara, D. F. Wong, and A. Rahmim
Direct 4D reconstruction of parametric images incorporating anato-functional joint entropy
Phys. Med. Biol., vol. 55, 4261-4272, 2010. - P. Ghafarian P, S. M. Aghamiri, M. R. Ay, B. Fallahi, A. Rahmim, T. H. Schindler, O. Ratib, and H. Zaidi
Coronary calcium score scan-based attenuation correction in cardiovascular PET imaging
Nucl. Med. Commun., vol. 31, p. 780-787, 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
NeuroImage, vol. 52, pp. 1505-1513, 2010. - J.-C. Cheng, S. Blinder, A. Rahmim, and V. Sossi
A scatter calibration technique for dynamic brain imaging in high resolution PET
IEEE Trans. Nucl. Sci., vol. 57, pp. 225-233, 2010. - M. A. Lodge, A. Rahmim, and R. L. Wahl
Simultaneous measurement of noise and spatial resolution in PET phantom images
Phys. Med. Biol., vol. 55, pp. 1069-1081, 2010. - M. S. Ardestani et al.
Novel and facile methods for the synthesis of DTPA-mono-amide: a new completely revised strategy in radiopharmaceutical chemistry
J. Radioanalytical & Nucl. Chem., vol. 283, pp. 447-455, 2010.
2009
- A. Rahmim, J. Tang, and H. Zaidi
Four-dimensional (4D) image reconstruction strategies in dynamic PET: beyond conventional independent frame reconstruction (review article)
Med. Phys., vol. 36, pp. 3654-3670, 2009. - J. Tang and A. Rahmim
Bayesian PET image reconstruction incorporating anato-functional joint entropy
Phys. Med. Biol., vol. 54, pp. 7063-7075, 2009. - 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
Phys. Med. Biol., vol. 54, pp. 3161-3171, 2009. - M. A. Lodge, A. Rahmim, and R. L. Wahl
A practical, automated quality assurance method for measuring spatial resolution in positron emission tomography
J. Nucl. Med., vol. 50, pp. 1307-1314, 2009. - P. Geramifar, M. R. Ay, M. S. Zafarghandi, G. Loudos, and A. Rahmim
Performance comparison of four commercial GE Discovery PET/CT scanners: a Monte Carlo study using GATE
Iranian J. Nucl. Med., vol. 17, pp. 26-33, 2009. - S. Lashkari, M. R. Ay, S. Sarkar, and A. Rahmim
The influence of crystal size and material on intercrystal scattering and parallax in PET block detectors: a Monte Carlo study
Iranian J. Med. Phys., vol. 5, pp. 67-76, 2009.
2008
- A. Rahmim, J. Tang, M. A. Lodge, S. Lashkari, M. R. Ay, R. Lautamaki, B. M. W. Tsui, and F. M. Bengel
Analytic system matrix resolution modeling in PET: an application to Rb-82 cardiac imaging
Phys. Med. Biol., vol. 53, pp. 5947-5965, 2008. - A. Rahmim, K. Dinelle, J.-C. Cheng, M. A. Shilov, W. P. Segars, S. C. Lidstone, S. Blinder, O. G. Rousset, H. Vajihollahi, B. M. W. Tsui, D. F. Wong, and V. Sossi
Accurate event-driven motion compensation in high-resolution PET incorporating scattered and random events
IEEE Trans. Med. Imag., vol. 27, pp. 1018-1033, 2008. - 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 modelling of externally tracked motion
Nucl. Med. Comm., vol. 29, pp. 574-581, 2008. - A. Rahmim and H. Zaidi
PET versus SPECT: strengths, limitations and challenges (invited review article)
Nucl. Med. Comm., vol. 29, pp. 193-207, 2008. - O. G. Rousset, D. L. Collins, A. Rahmim, and D. F. Wong
Design and implementation of an automated partial volume correction in PET: application to dopamine receptor quantification in the normal human striatum
J. Nucl. Med., vol. 49, pp. 1097-1106, 2008. - K. M. Wilcox, Y. Zhou, D. F. Wong, M. Alexander, A. Rahmim, J. Hilton, and M. R. Weed
Blood levels and DA transporter occupancy of orally administered methylphenidate in juvenile rhesus monkeys measured by high resolution PET
Synapse, vol. 62, pp. 950-952, 2008. - M. Shirmohammad, M. R. Ay, S. Sarkar, and A. Rahmim
Comparing 511keV attenuation maps obtained from different energy mapping methods for CT based attenuation correction of PET data
Iranian J. Med. Phys., vol. 5, pp. 23-34, 2008. - H. F. Moghaddam, M. S. Ardestani, M. Saffari, L. Navidpour, A. Shafiee, and A. Rahmim
Dopaminergic but not glutamatergic neurotransmission is increased in the striatum after selective cyclooxygenase-2 inhibition in normal and hemiparkinsonian rats
Basic & Clinical Pharmacology & Toxicology, vol. 103, pp. 293-296, 2008.
2007
- A. Rahmim, O. G. Rousset, and H. Zaidi
Strategies for motion tracking and correction in PET (invited review article)
PET Clinics, vol. 2, pp. 251-266, 2007. - O. G. Rousset, A. Rahmim, A. Alavi, and H. Zaidi
Partial volume correction strategies in PET (invited review article)
PET Clinics, vol. 2, pp. 235-249, 2007. - J.-C. Cheng, A. Rahmim, S.Blinder, M-L. Camborde, K. Raywood, and V Sossi
A scatter corrected list-mode reconstruction and a practical scatter/random approximation technique for dynamic PET imaging
Phys. Med. Biol, vol. 52, pp. 2089-2106, 2007. - S. Sarkar, M. A. Oghabian, I. Mohammadi, A. Mohammadpur, and A. Rahmim
A linogram/sinogram cross-correlation method for motion correction in planar and SPECT imaging
Trans. Nucl. Sci., vol. 54, pp. 71-79, 2007.
2006
- A. Rahmim and R. L. Wahl
An overview of clinical PET/CT (invited review article)
Iranian J. Nucl. Med., vol. 14, pp. 1-14, 2006 - A. Horti, H. Fan, H. Kuwabara, J. Hilton, H. Ravert, D. P. Holt, M. Alexander, A. Kumar, A. Rahmim, U. Scheffel, D. F. Wong, and R. F. Dannals
11C-JHU75528: a radiotracer for PET imaging of CB1 cannabinoid receptors
J. Nucl. Med., vol. 47, pp. 1689-1696, 2006.
2005
- A. Rahmim, J. C. Cheng, S. Blinder, M-L. Camborde, and V. Sossi
Statistical dynamic image reconstruction in state-of-the-art high resolution PET
Phys. Med. Biol., vol. 50, pp. 4887-4912, 2005. - V. Sossi, M-L. Camborde, G. Tropini, D. Newport, A. Rahmim, D. J. Doudet, and T. J. Ruth
The influence of measurement uncertainties on the evaluation of the distribution volume ratio and binding potential in rat studies on a microPET R4: a phantom study
Phys. Med. Biol., vol. 50, pp. 2859-2869, 2005.
2004
- A. Rahmim, M. Lenox, A. J. Reader, C. Michel. Z. Burbar, T. J. Ruth, and V. Sossi
Statistical list-mode image reconstruction for the high resolution research tomograph
Phys. Med. Biol., vol. 49, pp. 4239-4258, 2004. - A. Rahmim, P. Bloomfield, S. Houle, M. Lenox, C. Michel, K. R. Buckley, T. J. Ruth, and V. Sossi
Motion compensation in histogram-mode and list-mode EM reconstructions: beyond the event-driven approach
IEEE Trans. Nucl. Sci., vol. 51, pp. 2588-2596, 2004. - V. Sossi, K. R. Buckley, P. Piccioni, A. Rahmim, M.-L. Camborde, E. Strome, S. Lapi, and T. J. Ruth
Printed sources for positron emission tomography (PET)
IEEE Trans. Nucl. Sci., vol. 52, pp. 114-118, 2004.