Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. - Fereshteh Yousefirizi; Ian Janzen; Natalia Dubljevic; Yueh-En Liu; Chloe Hill; Calum MacAulay; Arman Rahmim (HECKTOR@MICCAI, 2021)

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)

Generalize or Specialize? The Effect of Coil Combining in Deep Learning Based MR Image Reconstruction. - Natalia Dubljevic; Richard Frayne; Roberto Souza 001 (ISBI, 2025)