A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. - Shadab Ahamed; Natalia Dubljevic; Ingrid Bloise; Claire Gowdy; Patrick Martineau; Don Wilson; Carlos F. Uribe; Arman Rahmim; Fereshteh Yousefirizi (Image Processing, 2022)

Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. - 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 (Image Processing, 2022)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. - Shadab Ahamed; Yixi Xu; Ingrid Bloise; Joo Hyun O; Carlos F. Uribe; Rahul Dodhia; Juan Lavista Ferres; Arman Rahmim (Image Processing, 2023)

Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. - Fereshteh Yousefirizi; Joo Hyun O; Ingrid Bloise; Amirhosein Toosi; Carlos F. Uribe; Arman Rahmim (Image Processing, 2023)

Observer study-based evaluation of TGAN architecture used to generate oncological PET images. - Roberto Fedrigo; Fereshteh Yousefirizi; Ziping Liu; Abhinav K. Jha; Robert V. Bergen; Jean-François Rajotte; Raymond T. Ng; Ingrid Bloise; Sara Harsini; Dan J. Kadrmas; Carlos F. Uribe; Arman Rahmim (Image Perception, Observer Performance, and Technology Assessment, 2023)

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. - 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; et al. (CoRR, 2023)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. - Shadab Ahamed; Yixi Xu; Ingrid Bloise; Joo H. O; Carlos F. Uribe; Rahul Dodhia; Juan Lavista Ferres; Arman Rahmim (CoRR, 2024)