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ORCIDFereshteh Yousefi Rizi
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Journal Articles
- 2024
[j3]Robert V. Bergen
, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng:
Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN. Comput. Methods Programs Biomed. 243: 107910 (2024)- 2022
- [j2]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:
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. 77: 102336 (2022) - 2013
- [j1]Fereshteh Yousefi Rizi, Alireza Ahmadian, Nader Rezaie, Seyed Amir Iranmanesh:
Leakage suppression in human airway tree segmentation using shape optimization based on fuzzy connectivity method. Int. J. Imaging Syst. Technol. 23(1): 71-84 (2013)
Conference and Workshop Papers
- 2023
- [c9]Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim:
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. Medical Imaging: Image Processing 2023 - [c8]Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim:
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. Medical Imaging: Image Processing 2023 - [c7]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:
Observer study-based evaluation of TGAN architecture used to generate oncological PET images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [c6]Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi:
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. Medical Imaging: Image Processing 2022 - [c5]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng:
3D PET image generation with tumour masks using TGAN. Medical Imaging: Image Processing 2022 - [c4]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:
Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. Medical Imaging: Image Processing 2022 - 2021
- [c3]Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim:
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 2021: 236-247 - 2020
- [c2]Fereshteh Yousefirizi, Arman Rahmim:
GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images. HECKTOR@MICCAI 2020: 99-108 - 2011
- [c1]Fereshteh Yousefi Rizi, H. Ahmadi Noubari, Seyed Kamaledin Setarehdan:
Wavelet-based ultrasound image denoising: Performance analysis and comparison. EMBC 2011: 3917-3920
Informal and Other Publications
- 2024
- [i8]Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi:
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. CoRR abs/2403.07092 (2024) - [i7]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:
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. CoRR abs/2407.10336 (2024) - 2023
- [i6]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:
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR abs/2311.09614 (2023) - 2022
- [i5]Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim:
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 abs/2202.07823 (2022) - [i4]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:
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. CoRR abs/2203.06314 (2022) - [i3]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng:
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN. CoRR abs/2206.06448 (2022) - 2021
- [i2]Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim:
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. CoRR abs/2110.10332 (2021) - [i1]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng:
3-D PET Image Generation with tumour masks using TGAN. CoRR abs/2111.01866 (2021)
Coauthor Index
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