Wavelet-based ultrasound image denoising: Performance analysis and comparison. - Fereshteh Yousefi Rizi; H. Ahmadi Noubari; Seyed Kamaledin Setarehdan (EMBC, 2011)

Leakage suppression in human airway tree segmentation using shape optimization based on fuzzy connectivity method. - Fereshteh Yousefi Rizi; Alireza Ahmadian; Nader Rezaie; Seyed Amir Iranmanesh (Int. J. Imaging Syst. Technol., 2013)

GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images. - Fereshteh Yousefirizi; Arman Rahmim (HECKTOR@MICCAI, 2020)

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)

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. - Fereshteh Yousefirizi; Pierre Decazes; Amine Amyar; Su Ruan; Babak Saboury; Arman Rahmim (CoRR, 2021)

3-D PET Image Generation with tumour masks using TGAN. - Robert V. Bergen; Jean-François Rajotte; Fereshteh Yousefirizi; Ivan S. Klyuzhin; Arman Rahmim; Raymond T. Ng (CoRR, 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)

3D PET image generation with tumour masks using TGAN. - Robert V. Bergen; Jean-François Rajotte; Fereshteh Yousefirizi; Ivan S. Klyuzhin; Arman Rahmim; Raymond T. Ng (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)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. - Valentin Oreiller; Vincent Andrearczyk; Mario Jreige; Sarah Boughdad; Hesham Elhalawani; Joël Castelli; Martin Vallières; Simeng Zhu; Juanying Xie; Ying Peng; Andrei Iantsen; Mathieu Hatt; et al. (Medical Image Anal., 2022)

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)

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)

Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN. - Robert V. Bergen; Jean-François Rajotte; Fereshteh Yousefirizi; Arman Rahmim; Raymond T. Ng (Comput. Methods Programs Biomed., 2024)

DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals. - Alireza Jafari; Fereshteh Yousefirizi; Vahid Seydi (CoRR, 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)