المؤلفون: Kiarash AmirMozafari Sabet, Hossein Arabi, Behnoosh Teimourian, Habib Zaidi, Isaac Shiri, Mozhgan Pourkeshavarz, Mohammad Reza Ay

المصدر: Journal of Nuclear Cardiology, 28. SPRINGER
Journal of Nuclear Cardiology, Vol. 28, No 6 (2021) pp. 2761-2779
Shiri, I, AmirMozafari Sabet, K, Arabi, H, Pourkeshavarz, M, Teimourian, B, Ay, M R & Zaidi, H 2021, ' Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks ', Journal of Nuclear Cardiology, vol. 28, no. 6, pp. 2761–2779 . https://doi.org/10.1007/s12350-020-02119-y

مصطلحات موضوعية: Time Factors, Mean squared error, Image quality, Oblique projection, 030204 cardiovascular system & hematology, Residual, ddc:616.0757, Cross-validation, 030218 nuclear medicine & medical imaging, short acquisition, 03 medical and health sciences, 0302 clinical medicine, Approximation error, Coronary Circulation, Spect imaging, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Prospective Studies, Projection (set theory), Tomography, Emission-Computed, Single-Photon, business.industry, deep learning, Pattern recognition, myocardial perfusion imaging, ddc:616.8, Cardiac Imaging Techniques, PET, SPECT, Feasibility Studies, Neural Networks, Computer, Artificial intelligence, Cardiology and Cardiovascular Medicine, business

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a896ca4359d5e8b09ade60c8ba16378
https://doi.org/10.1007/s12350-020-02119-y

المؤلفون: Atlas Haddadi Avval, Mozhgan Pourkeshavarz, Hasan Allah Sadeghi, Shayan Mostafaei, Faraz Chamani, Mahmood Sheikh Fathollahi, Sarina Sadeghi, Mahsa Mirdamadi, Majid Maleki, Isaac Shiri, Mehrdad Oveisi

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9ec6d9402200273756a643d5501c506e
https://doi.org/10.21203/rs.3.rs-1357846/v1