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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
August 4, 2019
Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications
Ernest V Garcia, Piotr Slomka, Jonathan B Moody, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 10, 2021
Latest Advances in Multimodality Imaging of Aortic Stenosis
Evangelos Tzolos, Jacek Kwiecinski, Daniel Berman, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
February 5, 2009
The importance of population-specific normal database for quantification of myocardial ischemia: comparison between Japanese 360 and 180-degree databases and a US database
Kenichi Nakajima, Koichi Okuda, Masaya Kawano, et al.
Nuclear Medicine Communications
|
September 14, 2023
Optimizing stress-only myocardial perfusion imaging: a clinical prediction model to improve patient selection
Patrick J Martineau, Matthieu Pelletier-Galarneau, Piotr Slomka, et al.
Medical Physics
|
August 2, 2006
Coronary x-ray angiographic reconstruction and image orientation
Kevin Sprague, Maria Drangova, Glen Lehmann, et al.
Journal of Cardiovascular Computed Tomography
|
July 15, 2015
Coronary calcium scoring from contrast coronary CT angiography using a semiautomated standardized method
Annika Schuhbaeck, Yuka Otaki, Stephan Achenbach, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
August 9, 2012
Direct quantification of left ventricular motion and thickening changes using rest-stress myocardial perfusion SPECT
Shahryar Karimi-Ashtiani, Reza Arsanjani, Mathews Fish, et al.
Scientific Reports
|
July 15, 2021
Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging
Vikash Singh, Michael Pencina, Andrew J Einstein, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
March 19, 2013
Automated Detection of Contractile Abnormalities from Stress-Rest Motion Changes
Shahryar Karimi-Ashtiani, Reza Arsanjani, Mathews Fish, et al.
The Canadian Journal of Cardiology
|
October 7, 2021
The Evolving Role of Artificial Intelligence in Cardiac Image Analysis
Pascal Theriault Lauzier, Robert Avram, Damini Dey, et al.
Page
of 14
Search research articles
Search
Showing results (31-40 of 138) with videos related to
Sort By:
Page
of 14
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
August 4, 2019
Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications
Ernest V Garcia, Piotr Slomka, Jonathan B Moody, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 10, 2021
Latest Advances in Multimodality Imaging of Aortic Stenosis
Evangelos Tzolos, Jacek Kwiecinski, Daniel Berman, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
February 5, 2009
The importance of population-specific normal database for quantification of myocardial ischemia: comparison between Japanese 360 and 180-degree databases and a US database
Kenichi Nakajima, Koichi Okuda, Masaya Kawano, et al.
Nuclear Medicine Communications
|
September 14, 2023
Optimizing stress-only myocardial perfusion imaging: a clinical prediction model to improve patient selection
Patrick J Martineau, Matthieu Pelletier-Galarneau, Piotr Slomka, et al.
Medical Physics
|
August 2, 2006
Coronary x-ray angiographic reconstruction and image orientation
Kevin Sprague, Maria Drangova, Glen Lehmann, et al.
Journal of Cardiovascular Computed Tomography
|
July 15, 2015
Coronary calcium scoring from contrast coronary CT angiography using a semiautomated standardized method
Annika Schuhbaeck, Yuka Otaki, Stephan Achenbach, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
August 9, 2012
Direct quantification of left ventricular motion and thickening changes using rest-stress myocardial perfusion SPECT
Shahryar Karimi-Ashtiani, Reza Arsanjani, Mathews Fish, et al.
Scientific Reports
|
July 15, 2021
Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging
Vikash Singh, Michael Pencina, Andrew J Einstein, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
March 19, 2013
Automated Detection of Contractile Abnormalities from Stress-Rest Motion Changes
Shahryar Karimi-Ashtiani, Reza Arsanjani, Mathews Fish, et al.
The Canadian Journal of Cardiology
|
October 7, 2021
The Evolving Role of Artificial Intelligence in Cardiac Image Analysis
Pascal Theriault Lauzier, Robert Avram, Damini Dey, et al.
Page
of 14