Michael K. Atalay

John Brown University — United States

Medicine · Health Sciences

27h-index3.6kcitations159works1.72yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Cardiac Imaging and Diagnostics(34), Advanced MRI Techniques and Applications(19), Radiomics and Machine Learning in Medical Imaging(16), Cardiac Structural Anomalies and Repair(15), Venous Thromboembolism Diagnosis and Management(14)

Publications159 total

Translating Mechanistic Insights Into Action and Revealing New Pathways: Machine Learning Approaches in Heart Failure With Preserved Ejection Fraction
Journal of the American Heart Association·2026Open Access
Seasonal Trends of Cardiac MRI phenotypes in Acute Myocarditis
Journal of Cardiovascular Magnetic Resonance·2026Open Access
Cardiac Magnetic Resonance Imaging Findings in Patients with and without Lyme Carditis: A Case-Control Study
Journal of Cardiovascular Magnetic Resonance·2026Open Access
The AI challenge: A turing test pilot study of attendings and residents in identifying AI-Generated content
Meta-Radiology·2025Open Access
Diagnostic value of grayscale inversion imaging for detecting difficult cases of pulmonary nodules
Clinical Imaging·2025· 1 citedOpen Access
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA
Medical Image Analysis·2025Open Access
Sense of Impending Doom: Cardiac Arrest Due to Anomalous Left Coronary Artery From the Right Pulmonary Artery
Journal of Adolescent Health·2025Open Access
Effects of Dehydroepiandrosterone in Pulmonary Hypertension (EDIPHY): A Randomized, Double-Blind, Placebo-Controlled Crossover Trial
2025Open Access
Vision-language model for report generation and outcome prediction in CT pulmonary angiogram
npj Digital Medicine·2025· 7 citedOpen Access
Paracardial Adipose Tissue and Right Ventricular Dysfunction in Pulmonary Arterial Hypertension
American Journal of Respiratory and Critical Care Medicine·2025
Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images
2025
Pulmonary Embolism Survival Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data
Journal of Thoracic Imaging·2025· 3 cited
Excess Greenhouse Gas Emissions Associated With Inappropriate Medical Imaging in the US Medicare Part B Population From 2017 to 2021
Journal of the American College of Radiology·2025· 11 cited
THE ASSOCIATION OF CARDIAC MRI DERIVED MYOCARDIAL STRAIN AND CLINICAL OUTCOMES IN PATIENTS WITH ACUTE MYOCARDITIS
Journal of the American College of Cardiology·2025Open Access
SEX-BASED DIFFERENCES IN CLINICAL AND CARDIAC MRI CHARACTERISTICS AND THEIR ASSOCIATIONS WITH LONG-TERM CARDIOVASCULAR OUTCOMES AMONG PATIENTS WITH CARDIAC MRI-PROVEN ACUTE MYOCARDITIS
Journal of the American College of Cardiology·2025Open Access
PREDICTORS OF LONG-TERM CARDIOVASCULAR OUTCOMES AMONG PATIENTS WITH ACUTE MYOCARDITIS USING CARDIAC MRI
Journal of the American College of Cardiology·2025Open Access
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA
arXiv (Cornell University)·2025· 1 citedOpen Access
Structural Heart Interventional Cardiology Planning and Procedures - The Heart Team Approach.
PubMed·2025
The association between strain, myofiber orientation, and functional outcomes in heart failure with preserved ejection using CMR feature tracking and diffusion tensor imaging
Journal of Cardiovascular Magnetic Resonance·2025Open Access
Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox
European Radiology·2024· 9 cited
page 1 of 8Next →

Frequent Co-authors

Kasey Halsey(8), Ji Whae Choi(8), Thi My Linh Tran(8), Weihua Liao(8), Harrison X. Bai(7), Dongcui Wang(7), Terrance T. Healey(7), Saurabh Agarwal(6), Robin Wang(6), Zhicheng Jiao(6), Scott Collins(6), Grayson L. Baird(6), Athena Poppas(6), B. R. Hsieh(5), Ken Chang(5), Ronnie Sebro(5), Jing Wu(5), Xue Feng(5), Shadi Yaghi(5), Christopher Song(5)