Fereshteh Yousefirizi

22 papers B 5Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies. CoRR Alejandro López-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi, Robert Seifert, Ali Afshar-Oromieh, Carlos F. Uribe, Axel Rominger, Habib Zaidi, Arman Rahmim, Kuangyu Shi
2025	J	`jnl`	DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals. CoRR Alireza Jafari, Fereshteh Yousefirizi, Vahid Seydi
2025	J	`jnl`	RT-utils: A Minimal Python Library for RT-struct Manipulation. J. Open Source Softw. Asim Shrestha, Adam Watkins, Fereshteh Yousefirizi, Arman Rahmim, Carlos F. Uribe
2024	J	`jnl`	A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. CoRR Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi
2024	J	`jnl`	Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN. Comput. Methods Programs Biomed. Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
2024	—	`conf`	Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. EUVIP 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, Carlos F. Uribe, Ghasem Hajianfar, Habib Zaidi, Arman Rahmim
2024	J	`jnl`	Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. CoRR 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, Carlos F. Uribe, Ghasem Hajianfar, Habib Zaidi, Arman Rahmim
2023	J	`jnl`	Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR 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
2023	—	`conf`	Observer study-based evaluation of TGAN architecture used to generate oncological PET images. Image Perception, Observer Performance, and Technology Assessment 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
2023	B	`conf`	Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. Image Processing Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim
2023	B	`conf`	State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. Image Processing Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim
2022	B	`conf`	3D PET image generation with tumour masks using TGAN. Image Processing Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng
2022	B	`conf`	A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. Image Processing Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi
2022	J	`jnl`	Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN. CoRR Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
2022	B	`conf`	Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. Image Processing 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
2022	J	`jnl`	Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge
2022	J	`jnl`	Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. CoRR Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim
2022	J	`jnl`	Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. CoRR 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, Fereshteh Yousefirizi
2021	J	`jnl`	3-D PET Image Generation with tumour masks using TGAN. CoRR Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng
2021	J	`jnl`	AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. CoRR Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim
2021	—	`conf`	Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. HECKTOR@MICCAI Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim
2020	—	`conf`	GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images. HECKTOR@MICCAI Fereshteh Yousefirizi, Arman Rahmim