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Journal of Nuclear Medicine

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Meeting ReportPhysics, Instrumentation & Data Sciences - Data Sciences

AI-based Cardiac Resynchronization Therapy Response Evaluation Using Quantitative SPECT Features

Maziar Sabouri, Omid Gharibi, Ghasem Hajianfar, Zahra Hosseini, Zahra Akbari Khanaposhtani, Fereshteh Yousefirizi, Ahmad Bitarafan Rajabi, Habib Zaidi, Isaac Shiri and Arman Rahmim
Journal of Nuclear Medicine June 2024, 65 (supplement 2) 242326;
Maziar Sabouri
1Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
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Omid Gharibi
2Department of Medical Physics, Iran University of Medical Sciences, Tehran, Iran
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Ghasem Hajianfar
3Division of Nuclear medicine and Molecular Imaging, Geneva University Hospital
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Zahra Hosseini
4Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Science, Tehran, Iran
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Zahra Akbari Khanaposhtani
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Fereshteh Yousefirizi
5BCCRC/UBC
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Ahmad Bitarafan Rajabi
6Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Science
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Habib Zaidi
7Geneva University Hospital
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Isaac Shiri
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Arman Rahmim
8University of British Columbia
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Journal of Nuclear Medicine
Vol. 65, Issue supplement 2
June 1, 2024
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AI-based Cardiac Resynchronization Therapy Response Evaluation Using Quantitative SPECT Features
Maziar Sabouri, Omid Gharibi, Ghasem Hajianfar, Zahra Hosseini, Zahra Akbari Khanaposhtani, Fereshteh Yousefirizi, Ahmad Bitarafan Rajabi, Habib Zaidi, Isaac Shiri, Arman Rahmim
Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 242326;

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AI-based Cardiac Resynchronization Therapy Response Evaluation Using Quantitative SPECT Features
Maziar Sabouri, Omid Gharibi, Ghasem Hajianfar, Zahra Hosseini, Zahra Akbari Khanaposhtani, Fereshteh Yousefirizi, Ahmad Bitarafan Rajabi, Habib Zaidi, Isaac Shiri, Arman Rahmim
Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 242326;
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