2023

  • R. Fedrigo, F. Yousefirizi, Z. Liu, A. K. Jha, R. V. Bergen, J. Rajotte, R. T. Ng, I. Blouse, S. Harsini, D. J. Kadrmas, C. Uribe, A. Rahmim
    Observer study-based evaluation of TGAN architecture used to generate oncological PET images
    Proc. SPIE Medical Imaging Conference, 2023
  • F. Yousefirizi, J. H. O, I. Bloise, A. Toosi, C. F. Uribe, A. Rahmim
    Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging
    Proc. SPIE Medical Imaging Conference, 2023
  • A. Toosi, S. Harsini, S. Ahamed, F. Yousefirizi, C. F. Uribe, A. Rahmim. 
    State-of-the-art object detection algorithms for small lesion detection in PSMA PET: Use of rotational maximum intensity projection (MIP) images
    Proc. SPIE Medical Imaging Conference, 2023
  • S. Ahamed, Y. Xu, I. Bloise, J. H. O, C. F. Uribe, R. Dodhia, J. L. Ferres, A. Rahmim
    A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
    Proc. SPIE Medical Imaging Conference, 2023
  • L. Polson, I. Klyuzhin, R. Yuan, M. Martini, I. Shiri, H. Zaidi, C. Uribe, A. Rahmim
    Clinician-interactive AI for RECIST measurements in CT imaging
    Proc. SPIE Medical Imaging Conference, 2023

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