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)

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. - Arman Rahmim; Amirhosein Toosi; Mohammad R. Salmanpour; Natalia Dubljevic; Ian Janzen; Isaac Shiri; Mohamad A. Ramezani; Ren Yuan; Cheryl Ho; Habib Zaidi; Calum MacAulay; Carlos F. Uribe; et al. (CoRR, 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)

State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. - Amirhosein Toosi; Sara Harsini; Shadab Ahamed; Fereshteh Yousefirizi; François Bénard; Carlos F. Uribe; 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)

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. - Yixi Xu; Ivan S. Klyuzhin; Sara Harsini; Anthony Ortiz; Shun Zhang; François Bénard; Rahul Dodhia; Carlos F. Uribe; Arman Rahmim; Juan Lavista Ferres (Comput. Biol. Medicine, 2023)

Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. - Maziar Sabouri; Shadab Ahamed; Azin Asadzadeh; Atlas Haddadi Avval; Soroush Bagheri; Mohsen Arabi; Seyed Rasoul Zakavi; Emran Askari; Ali Rasouli; Atena Aghaee; Mohaddese Sehati; Fereshteh Yousefirizi; et al. (EUVIP, 2024)

How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models. - Amirhosein Toosi; Sara Harsini; François Bénard; Carlos F. Uribe; Arman Rahmim (DGM4MICCAI@MICCAI, 2024)

Spatiotemporal modeling of radiopharmaceutical transport in solid tumors: Application to 177Lu-PSMA therapy of prostate cancer. - Anahita Piranfar; Madjid Soltani; Farshad Moradi Kashkooli; Carlos F. Uribe; Arman Rahmim (Comput. Methods Programs Biomed., 2024)

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)

SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction. - Obed Dzikunu; Maziar Sabouri; Shadab Ahamed; Carlos F. Uribe; Arman Rahmim; Lucas A. Polson (J. Open Source Softw., 2024)

PyTomography: A python library for medical image reconstruction. - Lucas A. Polson; Roberto Fedrigo; Chenguang Li; Maziar Sabouri; Obed Dzikunu; Shadab Ahamed; Nicolas A. Karakatsanis; Sara Kurkowska; Peyman Sheikhzadeh; Pedro L. Esquinas; Arman Rahmim; Carlos F. Uribe (SoftwareX, 2025)

RT-utils: A Minimal Python Library for RT-struct Manipulation. - Asim Shrestha; Adam Watkins; Fereshteh Yousefirizi; Arman Rahmim; Carlos F. Uribe (J. Open Source Softw., 2025)

Uncertainty Propagation From Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry. - Lucas A. Polson; Sara Kurkowska; Chenguang Li; Pedro L. Esquinas; Peyman Sheikhzadeh; Mehrshad Abbasi; François Bénard; Carlos F. Uribe; Arman Rahmim (IEEE Trans. Medical Imaging, 2025)