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Arman Rahmim

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Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks

Feb 16, 2022
Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim

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3-D PET Image Generation with tumour masks using TGAN

Nov 02, 2021
Robert V Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi, Ivan S Klyuzhin, Arman Rahmim, Raymond T. Ng

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AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics

Nov 01, 2021
Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim

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A brief history of AI: how to prevent another winter (a critical review)

Sep 08, 2021
Amirhosein Toosi, Andrea Bottino, Babak Saboury, Eliot Siegel, Arman Rahmim

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Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician

Jul 20, 2021
Abhinav K. Jha, Kyle J. Myers, Nancy A. Obuchowski, Ziping Liu, Md Ashequr Rahman, Babak Saboury, Arman Rahmim, Barry A. Siegel

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Artificial Intelligence in PET: an Industry Perspective

Jul 14, 2021
Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans

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Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches

Jul 03, 2019
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim

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PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients

Jun 15, 2019
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim

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