Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study

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Publication Details

Journal
European Journal of Nuclear Medicine and Molecular Imaging
Published
2025-02-20
DOI
https://doi.org/10.1007/s00259-025-07145-x
Citations
6
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
8.16

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article

Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study

Yazdan Salimi, Isaac Shiri, Habib Zaidi, Arman Rahmim et al.
6 citations
European Journal of Nuclear Medicine and Molecular Imaging
Cardiac Imaging and Diagnostics
8.16
article

Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study

Yazdan Salimi, Isaac Shiri, Habib Zaidi, Arman Rahmim, Mohammad Edalat-Javid, Mostafa Haghir Chehreghani, Ghasem Hajianfar, Omid Gharibi, Mobin Mohebi, Mehdi Maghsudi, Zahra Mansouri, Maziar Sabouri, Ahmad Bitarafan‐Rajabi, Mohammad Javad Yasemi, Mehdi Amini, Hossein Arabi, Setareh Valavi
article en
6 citations

Abstract

No abstract available for this paper.
European Journal of Nuclear Medicine and Molecular ImagingVol. 52(8)
Obuda University (HU), University of Bern (CH), Centre National de la Recherche Scientifique (FR), University Medical Center Groningen (NL), University of British Columbia (CA), Inserm (FR), Iran University of Medical Sciences (IR), University of Groningen (NL), University of Southern Denmark (DK), Université Côte d'Azur (FR), University Hospital of Bern (CH), University Hospital of Geneva (CH), Institut de Biologie Valrose (FR), Shaheed Rajaei Cardiovascular Medical and Research Center (IR)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Shaheed Rajaei Cardiovascular Medical and Research Center, Université de Genève
Good health and well-being
Openalex Percentile: Top 3%
Cardiac Imaging and Diagnostics
8.16
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