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Isaac Shiri

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Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images

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May 02, 2024
Amirhosein Toosi, Isaac Shiri, Habib Zaidi, Arman Rahmim

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Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients

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Dec 24, 2022
Fereshteh Yousefirizi, Isaac Shiri, Joo Hyun O, Ingrid Bloise, Patrick Martineau, Don Wilson, François Bénard, Laurie H. Sehn, Kerry J. Savage, Habib Zaidi, Carlos F. Uribe, Arman Rahmim

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Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features

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Mar 12, 2022
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 Uribe, Fereshteh Yousefirizi

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Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis

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Jul 08, 2019
Ghasem Hajianfar, Isaac Shiri, Hassan Maleki, Niki Oveisi, Abbass Haghparast, Hamid Abdollahi, Mehrdad Oveisi

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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

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

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MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography

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Jun 25, 2019
Shakiba Moradi, Azin Alizadehasl, Jan Dhooge, Isaac Shiri, Niki Oveisi, Mehrdad Oveisi, Majid Maleki, Mostafa Ghelich-Oghli

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

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

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