المؤلفون: Behnoosh Teimourian Fard, Kiarash Amirmozaffari Sabet, Mohmmadreza Ay

المصدر: Frontiers in Biomedical Technologies, Vol 6, Iss 3 (2019)

مصطلحات موضوعية: Cardiac SPECT, Nuclear Medicine, NEMA, Calibration, Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: https://fbt.tums.ac.ir/index.php/fbt/article/view/227; https://doaj.org/toc/2345-5837

URL الوصول: https://doaj.org/article/eee93593758241ee9374a02e9439419c

المؤلفون: Haisong Lin, Wenzhuo Yu, Kiarash A. Sabet, Michael Bogumil, Yichao Zhao, Jacob Hambalek, Shuyu Lin, Sukantha Chandrasekaran, Omai Garner, Dino Di Carlo, Sam Emaminejad

المصدر: Nature, vol 611, iss 7936

مصطلحات موضوعية: General Science & Technology, Bioengineering, Sensitivity and Specificity, Vaccine Related, Automation, COVID-19 Testing, Biodefense, Humans, Viral, Pandemics, Multidisciplinary, SARS-CoV-2, Prevention, COVID-19, Robotics, Infectious Diseases, Emerging Infectious Diseases, Molecular Diagnostic Techniques, Magnets, RNA, Viral, RNA, Indicators and Reagents, Infection, Nucleic Acid Amplification Techniques, Algorithms, Biotechnology

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78ab9ee1ad9117f52600fb0a59fffcf7
https://escholarship.org/uc/item/6889g85w

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: Shuyu Lin, Jialun Zhu, Wenzhuo Yu, Bo Wang, Kiarash A. Sabet, Yichao Zhao, Xuanbing Cheng, Hannaneh Hojaiji, Haisong Lin, Jiawei Tan, Carlos Milla, Ronald W. Davis, Sam Emaminejad

المصدر: Proceedings of the National Academy of Sciences. 119

مصطلحات موضوعية: Automobile Driving, User-Computer Interface, Multidisciplinary, Touch Perception, Touch, Humans

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fabdb6412065fb18b6bfa506369b7b05
https://doi.org/10.1073/pnas.2201937119