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., Accepted, 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 Medical Imaging Conference, 2022
  • M. R. Salmanpour, M. Hosseinzadeh, E. Modiri, A. Akbari, G. Hajianfar, D. Askari, M. Fatan, M. Maghsudi, 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 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, 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 Medical Imaging Conference, 2022
  • M. R. Salmanpour, M. Hosseinzadeh, A. Akbari, D. Askari, G. Hajianfar, K. Borazjani, K. Mojallal, 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 Medical Imaging Conference, 2022
  • A. Javanmardi, M. Hosseinzadeh, G. Hajianfar, A. H. Nabizadeh, M. R. Salmanpour, A. Rahmim
    Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer
    Proc. SPIE Medical Imaging Conference, 2022

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