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Circulation. Cardiovascular Imaging
|
July 29, 2025
Response by Hijazi et al to Letter Regarding Article, "Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure"
Waseem Hijazi, Aakash Shanbhag, Robert J H Miller, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 28, 2024
Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging
Attila Feher, Bryan Bednarski, Robert J Miller, et al.
JACC. Advances
|
September 23, 2024
AI-Derived Left Ventricular Mass From Noncontrast Cardiac CT: Correlation With Contrast CT Angiography and CMR
Donghee Han, Aakash Shanbhag, Robert Jh Miller, et al.
Journal of Cardiac Failure
|
November 30, 2024
Utility of Mechanistic Target of Rapamycin Inhibitors in Cardiac Sarcoidosis
Donald Richards, Hidesato Fujito, Aakash Shanbhag, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 23, 2024
Artificial intelligence-based automated left ventricular mass quantification from non-contrast cardiac CT scans: correlation with contrast CT and cardiac MRI
Donghee Han, Aakash Shanbhag, Robert Jh Miller, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 29, 2024
Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam
Valerie Builoff, Aakash Shanbhag, Robert Jh Miller, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
December 1, 2024
Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam
Valerie Builoff, Aakash Shanbhag, Robert Jh Miller, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
October 4, 2022
Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging
Attila Feher, Konrad Pieszko, Robert Miller, et al.
Atherosclerosis
|
January 14, 2025
AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects
Aryabod Razipour, Kajetan Grodecki, Nipun Manral, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
January 4, 2023
Correction to: Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging
Attila Feher, Konrad Pieszko, Robert Miller, et al.
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Search research articles
Search
Showing results (1-10 of 55) with videos related to
Sort By:
Page
of 6
Circulation. Cardiovascular Imaging
|
July 29, 2025
Response by Hijazi et al to Letter Regarding Article, "Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure"
Waseem Hijazi, Aakash Shanbhag, Robert J H Miller, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 28, 2024
Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging
Attila Feher, Bryan Bednarski, Robert J Miller, et al.
JACC. Advances
|
September 23, 2024
AI-Derived Left Ventricular Mass From Noncontrast Cardiac CT: Correlation With Contrast CT Angiography and CMR
Donghee Han, Aakash Shanbhag, Robert Jh Miller, et al.
Journal of Cardiac Failure
|
November 30, 2024
Utility of Mechanistic Target of Rapamycin Inhibitors in Cardiac Sarcoidosis
Donald Richards, Hidesato Fujito, Aakash Shanbhag, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 23, 2024
Artificial intelligence-based automated left ventricular mass quantification from non-contrast cardiac CT scans: correlation with contrast CT and cardiac MRI
Donghee Han, Aakash Shanbhag, Robert Jh Miller, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 29, 2024
Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam
Valerie Builoff, Aakash Shanbhag, Robert Jh Miller, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
December 1, 2024
Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam
Valerie Builoff, Aakash Shanbhag, Robert Jh Miller, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
October 4, 2022
Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging
Attila Feher, Konrad Pieszko, Robert Miller, et al.
Atherosclerosis
|
January 14, 2025
AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects
Aryabod Razipour, Kajetan Grodecki, Nipun Manral, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
January 4, 2023
Correction to: Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging
Attila Feher, Konrad Pieszko, Robert Miller, et al.
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