Publications
254
Citations
6,746
Est. group size
~2
Recurring co-author estimate
Active years
48
Publishing since 1978
Subha V. Raman studies cardiovascular magnetic resonance (CMR) imaging, a specialized form of MRI used to examine the heart. Much of the work focuses on using stress CMR perfusion imaging to detect reduced blood flow (ischemia) in the heart and to predict the risk of serious cardiac events, drawing heavily on a large multicenter U.S. patient registry called SPINS. Related work addresses applications of artificial intelligence in cardiac imaging and disparities in the diagnosis and treatment of heart disease.
Publication activity has been steady to growing over the last decade, with notable peaks in 2020, 2023, and 2024 and an average of about 13 publications per year over the past five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Absence of CMR ischemia effectively rules out left main, multivessel disease, and serious cardiovascular events in a multicentric United States cohort of 4,149 patients – long term follow-up of the SCMR SPINS registry
Journal of Cardiovascular Magnetic Resonance · 2025
- Erratum to “Absence of CMR ischemia effectively rules out left main, multivessel disease, and serious cardiovascular events in a multicentric United States cohort of 4149 patients – long term follow-up of the SCMR SPINS registry” [Journal of Cardiovascular Magnetic Resonance 27 (2025) 101311]
Journal of Cardiovascular Magnetic Resonance · 2025
- Cannabis use and heart transplant listing: A survey of clinician practices
PLoS ONE · 2024
- Cardiovascular Imaging, Climate Change, and Environmental Sustainability
Radiology Cardiothoracic Imaging · 2024
- The role of artificial intelligence in cardiovascular magnetic resonance imaging
Progress in Cardiovascular Diseases · 2024
- Association of Adverse Clinical Outcomes With Peri-Infarct Ischemia Detected by Stress Cardiac Magnetic Imaging
Journal of the American College of Cardiology · 2024
- AB1488 IS THE FUTURE OF RHEUMATOLOGY HERE? A STUDY OF A PROPRIETARY RULE ENGINE AND ARTIFICIAL INTELLIGENCE GPT4 (AI GPT4) FOR INITIAL EVALUATION OF RHEUMATOLOGY CASES
Annals of the Rheumatic Diseases · 2024
- ELUCIDATING CARDIAC PHENOTYPES OF SICKLE CELL DISEASE PATIENTS USING CARDIAC MAGNETIC RESONANCE IMAGING
Journal of the American College of Cardiology · 2024
- DEVELOPMENT OF A CMR PERFUSION-BASED NOVEL RISK SCORE FOR MAJOR ADVERSE CARDIAC EVENTS USING THE SPINS REGISTRY
Journal of the American College of Cardiology · 2024
- Prognostic Implication of CMR Derived Atrial Strain in Patients with Acute Myocarditis
Journal of Cardiovascular Magnetic Resonance · 2024
- Periinfarct Ischemia Provides Strong Risk Prognostication Incremental to Ischemic Markers: The Multicenter Stress CMR Perfusion Imaging in the United States (SPINS) Study of the CMR Registry
Journal of Cardiovascular Magnetic Resonance · 2024
- Stress CMR Perfusion Imaging in the Medicare Eligible Population: Insights from the Stress CMR Perfusion Imaging in the United States (SPINS) Study
Journal of Cardiovascular Magnetic Resonance · 2024
- Prognostic Value of Stress CMR Perfusion in Diabetes: Insights FBom the SPINS Registry
Journal of Cardiovascular Magnetic Resonance · 2024
- Sex and race disparities in emergency department patients with chest pain and a detectable or mildly elevated troponin
American Heart Journal Plus Cardiology Research and Practice · 2024
- CORONARY PLAQUE MEASUREMENT WITH CORONARY CT ANGIOGRAPHY AND ARTIFICIAL INTELLIGENCE: INITIAL EXPERIENCE IN A POPULATION HEALTH PROGRAM FOR DIABETICS
Journal of the American College of Cardiology · 2023
- Journal of Cardiovascular Magnetic Resonance×33
- Journal of the American College of Cardiology×21
- JACC. Cardiovascular imaging×11
- Heart Failure Clinics×4
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition×4
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
Claim or correct this profile