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Conference and Workshop Papers
- 2023
[c3]Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim:
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. Medical Imaging: Image Processing 2023- [c2]Fereshteh Yousefirizi
, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim:
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. Medical Imaging: Image Processing 2023 - 2022
- [c1]Fereshteh Yousefirizi, Natalia Dubljevic, Shadab Ahamed, Ingrid Bloise, Claire Gowdy, Joo Hyun O, Youssef Farag, Rodrigue de Schaetzen, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim:
Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. Medical Imaging: Image Processing 2022
Informal and Other Publications
- 2023
- [i1]Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo Hyun O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim:
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR abs/2311.09614 (2023)
Coauthor Index
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