Fereshteh Yousefi Rizi

According to our database, Fereshteh Yousefi Rizi authored at least 17 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2024

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, Carlos F. Uribe, Ghasem Hajianfar, Habib Zaidi, Arman Rahmim

CoRR, 2024

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, Carlos F. Uribe, Arman Rahmim

CoRR, 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

Proceedings of the Medical Imaging 2023: Image Perception, 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

Proceedings of the Medical Imaging 2023: 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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

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, 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

Medical Image Anal., 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, Fereshteh Yousefirizi

CoRR, 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

Proceedings of the Medical Imaging 2022: 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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

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

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

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020

GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images.

Fereshteh Yousefirizi, Arman Rahmim

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

2013

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

2011

Wavelet-based ultrasound image denoising: Performance analysis and comparison.

Fereshteh Yousefi Rizi, H. Ahmadi Noubari, Seyed Kamaledin Setarehdan

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011