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B Kavanagh

Showing results (61-70 of 79) with videos related to

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JACC. Cardiovascular Imaging|March 8, 2024
AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion ImagingRobert J H Miller, Aakash Shanbhag, Aditya Killekar, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 7, 2022
Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac EventsRobert J H Miller, Konrad Pieszko, Aakash Shanbhag, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 22, 2024
Downward myocardial creep during stress PET imaging is inversely associated with mortalityKeiichiro Kuronuma, Robert J H Miller, Chih-Chun Wei, et al.
JACC. Cardiovascular Imaging|October 26, 2022
Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular EventsKonrad Pieszko, Aakash Shanbhag, Aditya Killekar, et al.
NPJ Digital Medicine|February 3, 2024
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imagingRobert J H Miller, Aakash Shanbhag, Aditya Killekar, et al.
Circulation. Cardiovascular Imaging|May 13, 2025
Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart FailureWaseem Hijazi, Aakash Shanbhag, Robert J H Miller, et al.
Circulation. Cardiovascular Imaging|September 20, 2022
Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography ImagesAnanya Singh, Jacek Kwiecinski, Robert J H Miller, et al.
Nature Communications|March 30, 2024
Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomographyRobert J H Miller, Aditya Killekar, Aakash Shanbhag, et al.
Medrxiv : the Preprint Server for Health Sciences|May 7, 2024
Holistic AI analysis of hybrid cardiac perfusion images for mortality predictionAnna M Michalowska, Wenhao Zhang, Aakash Shanbhag, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|September 12, 2025
Integrating perfusion with AI-derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imagingRobert J H Miller, Orit Barrett, Aakash Shanbhag, et al.
Pageof 8

Showing results (61-70 of 79) with videos related to

Sort By:
Pageof 8
JACC. Cardiovascular Imaging|March 8, 2024
AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion ImagingRobert J H Miller, Aakash Shanbhag, Aditya Killekar, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 7, 2022
Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac EventsRobert J H Miller, Konrad Pieszko, Aakash Shanbhag, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 22, 2024
Downward myocardial creep during stress PET imaging is inversely associated with mortalityKeiichiro Kuronuma, Robert J H Miller, Chih-Chun Wei, et al.
JACC. Cardiovascular Imaging|October 26, 2022
Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular EventsKonrad Pieszko, Aakash Shanbhag, Aditya Killekar, et al.
NPJ Digital Medicine|February 3, 2024
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imagingRobert J H Miller, Aakash Shanbhag, Aditya Killekar, et al.
Circulation. Cardiovascular Imaging|May 13, 2025
Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart FailureWaseem Hijazi, Aakash Shanbhag, Robert J H Miller, et al.
Circulation. Cardiovascular Imaging|September 20, 2022
Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography ImagesAnanya Singh, Jacek Kwiecinski, Robert J H Miller, et al.
Nature Communications|March 30, 2024
Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomographyRobert J H Miller, Aditya Killekar, Aakash Shanbhag, et al.
Medrxiv : the Preprint Server for Health Sciences|May 7, 2024
Holistic AI analysis of hybrid cardiac perfusion images for mortality predictionAnna M Michalowska, Wenhao Zhang, Aakash Shanbhag, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|September 12, 2025
Integrating perfusion with AI-derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imagingRobert J H Miller, Orit Barrett, Aakash Shanbhag, et al.
Pageof 8