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Circulation
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April 9, 2019
Response by Aung and Petersen to Letter Regarding Article, "Association Between Ambient Air Pollution and Cardiac Morpho-Functional Phenotypes: Insights From the UK Biobank Population Imaging Study"
Nay Aung, Steffen E Petersen
JACC. Cardiovascular Imaging
|
August 20, 2022
Benefits of Machine Learning to Predict Survival Using Stress Perfusion CMR and Basic Clinical Information
Steffen E Petersen, Nay Aung
Frontiers in Cardiovascular Medicine
|
October 31, 2022
Artificial intelligence in cardiology: Hope for the future and power for the present
Loucia Karatzia, Nay Aung, Dunja Aksentijevic
Diagnostics (Basel, Switzerland)
|
November 27, 2024
A Comprehensive Review of Clinical Studies Applying Flow-Mediated Dilation
Yuran Ahn, Nay Aung, Hyo-Suk Ahn
Frontiers in Cardiovascular Medicine
|
May 23, 2025
Editorial: Novel translational advances in artificial intelligence for diagnosis and treatment of cardiovascular diseases
DeLisa Fairweather, Nay Aung, Rickey E Carter
Journal of the American College of Cardiology
|
November 19, 2016
Left Ventricular Noncompaction, or Is It?
Nay Aung, Filip Zemrak, Steffen E Petersen
Nature Genetics
|
February 9, 2024
Genetic analysis of cardiac dynamic flow volumes identifies loci mapping aortic root size
Patricia B Munroe, Nay Aung, Julia Ramírez
Future Cardiology
|
November 14, 2024
Cardiovascular magnetic resonance versus echocardiography derived left ventricular ejection fraction for decision-making
Eamon Dhall, Adil Mahmood, Nay Aung, et al.
Frontiers in Cardiovascular Medicine
|
May 25, 2026
Correction: A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction
Manh Thang Hoang, Yang Chen, Gregory Slabaugh, et al.
Frontiers in Cardiovascular Medicine
|
May 1, 2026
A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction
Manh Thang Hoang, Nay Aung, Yang Chen, et al.
Page
of 16
Search research articles
Search
Showing results (1-10 of 154) with videos related to
Sort By:
Page
of 16
Circulation
|
April 9, 2019
Response by Aung and Petersen to Letter Regarding Article, "Association Between Ambient Air Pollution and Cardiac Morpho-Functional Phenotypes: Insights From the UK Biobank Population Imaging Study"
Nay Aung, Steffen E Petersen
JACC. Cardiovascular Imaging
|
August 20, 2022
Benefits of Machine Learning to Predict Survival Using Stress Perfusion CMR and Basic Clinical Information
Steffen E Petersen, Nay Aung
Frontiers in Cardiovascular Medicine
|
October 31, 2022
Artificial intelligence in cardiology: Hope for the future and power for the present
Loucia Karatzia, Nay Aung, Dunja Aksentijevic
Diagnostics (Basel, Switzerland)
|
November 27, 2024
A Comprehensive Review of Clinical Studies Applying Flow-Mediated Dilation
Yuran Ahn, Nay Aung, Hyo-Suk Ahn
Frontiers in Cardiovascular Medicine
|
May 23, 2025
Editorial: Novel translational advances in artificial intelligence for diagnosis and treatment of cardiovascular diseases
DeLisa Fairweather, Nay Aung, Rickey E Carter
Journal of the American College of Cardiology
|
November 19, 2016
Left Ventricular Noncompaction, or Is It?
Nay Aung, Filip Zemrak, Steffen E Petersen
Nature Genetics
|
February 9, 2024
Genetic analysis of cardiac dynamic flow volumes identifies loci mapping aortic root size
Patricia B Munroe, Nay Aung, Julia Ramírez
Future Cardiology
|
November 14, 2024
Cardiovascular magnetic resonance versus echocardiography derived left ventricular ejection fraction for decision-making
Eamon Dhall, Adil Mahmood, Nay Aung, et al.
Frontiers in Cardiovascular Medicine
|
May 25, 2026
Correction: A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction
Manh Thang Hoang, Yang Chen, Gregory Slabaugh, et al.
Frontiers in Cardiovascular Medicine
|
May 1, 2026
A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction
Manh Thang Hoang, Nay Aung, Yang Chen, et al.
Page
of 16