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)
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 2022
  • H. Konair, C. Miller, A. Rahmim, P. Schaffer, C. Uribe
    Cellular dosimetry from the 225AC decay chain: impact of progeny internalization and migration
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 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)
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 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 PBOK modeling approach
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 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
    Proc. EANM Annual Meeting, 2022
  • T. Zare, P. Sheikhzadeh, A. Rahmim, B. Teimourian Fard, P. Ghafarian, M. R. Ay
    Optimiation of time coincidence window and energy window for dedicated brain PET: a simulation study 
    Proc. EANM Annual Meeting, 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
    Proc. SNMMI Annual Meeting, 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
    Proc. SNMMI Annual Meeting, 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
    Proc. SNMMI Annual Meeting, 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
    Proc. SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 2022
  • C. Miller, J. Brosch-Lenz, G. Chausse, A. Rahmim, C. Uribe
    A novel computationally-effective absorbed dose kernel generation method for cellular dosimetry
    SNMMI Annual Meeting, 2022
  • S. Ahamed, A. Toosi, C. Uribe, A. Rahmim, F. Yousefirizi
    Towards enhanced automated tumor detection using background slice annotation methods in clincial PET imaging of lymphoma
    SNMMI Annual Meeting, 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 clincial information and radiomics features
    SNMMI Annual Meeting, 2022
  • R. Fedrigo, G. Chausse, F. Yousefirizi, A. Rahmim, F. Benard, C. Uribe
    Feasibility of enhanced salivary gland delination using PSMA PET imaging using a novel method to create a salivary gland phantom
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 2022
  • N. Colpo, C. Willliams, J. Brosch-Lenz, I. Bloisem A. Rahmim, F. Benard, C. Uribe
    Exploring the Nuclear Medicine Technologist Role to Support Dosimetry in Radiophmaceutical Therapies
    SNMMI Annual Meeting, 2022
  • N. Colpo, R. Bahr, C. Uribe, P. Martineau
    Supplemental email instructions for FDG PET/CT scans: Investigating the impact on preparation compliance rates
    SNMMI Annual Meeting, 2022
  • N. Colpo, T. Alden, R. Bahr, P. Petric, C. Uribe
    Reducing the PET technologists' radiation exposure one autoinjector at a time
    SNMMI Annual Meeting, 2022
  • X. Hou, A. Hadjivassilou, I. Klyuzhin, F. Benard, D. Liu, A. Rahmim
    Prediction of liver hypertrophy in patients undergoing Y-90 radioemboliation treatment
    SNMMI Annual Meeting, 2022
  • I. Klyuzhin, H.S.H. Ahn, A. Rahmim
    Selection of optimal radiomics features for tumor phenotype differentaiton using stochastic tumor growth modeling
    SNMMI Annual Meeting, 2022
  • M.R. Salmanpour, M. Hosseinzadeh, S.M. Rezaeijo, C. Uribe, A. Rahmim
    Robustnenss and reproducibility of radiomics features from fusions of PET-CT images
    SNMMI Annual Meeting
  • 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 2022
  • A. Fele-Paranj, J. Brosch-Lenz, C. Uribe, B. Saboury, A. Rahmim
    Non-linearities in the transition from imaging radiotracers to therapeutic radiopharmeceuticals 
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 2022
  • L. Polson, C. Uribe, A. Rahmim
    Iterative PET reconstruction algorithms followed by non-local means denosing for improved quantitative imaging
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 2022
  • R. Bergen, J.F. Rajotte, F. Yousefirizi, A. Rahmim, T. Ng
    3-D PET image generation with tumour masks using TGAN
    SNMMI Annual Meeting, 2022
  • G. Hajiadar, 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
    SNMMI Annual Meeting
  • 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
    SNMMI Annual Meeting, 2022
  • M. Khateri, F. Babapour Mofrad, E. Jenabi, G. Hajianfar, E. Jafari, H. Dadgar, M. Asadi, A. Rahmim, I. Shiri, H. Zaidi
    Non-invaisive prostate cancer histopathological subtype decoding using 68Ga-PSMA PET/CT radiomics features: A multi-centre study
    SNMMI Annual Meeting, 2022 
  • A. Jabbarpour, I. Shiri, Y. Salimi, A. Sanaat, P. Geramifar, A. Rahmim, H. Zaidi
    End-to-end unsupervised learning for direct attunation and scatter correction of whole-body 18F-FDG PET images using cycle GAN
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 2022
  • H. Abdollahi, B. Saboury, C. Uribe, A. Rahmim
    Radiopharmacogenomics guided radiopharmaceutical therapy: Systems biology meets radiopharmaceuticals
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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
    SNMMI Annual Meeting, 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., In Press, 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., In Press, 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

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