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Souma Sengupta
Institutions:
Massachusetts General Hospital,
HeartFlow (United States)
Observed institutions:
Harvard University,
Oregon Health & Science University,
Liverpool Heart and Chest Hospital,
Massachusetts General Hospital,
American College of Radiology Imaging Network,
HeartFlow (United States),
University of Pennsylvania
show all 7
OpenAlex ID:
A5089367236
The Association of High Risk Plaque Features and Non-invasive Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography in Patients With Acute Chest Pain: Results From the Romicat Ii Trial
2017
·
Maros Ferencik
, Michael T. Lu
, et al.
·
Journal of the American College of Cardiology
·
3
PDF
Artificial intelligence-enabled coronary plaque quantification for personalized risk assessment and lipid-lowering therapy: Insights from the FISH&CHIPS study✰
2026
·
Shyon Parsa
, Allison W. Peng
, et al.
·
American Journal of Preventive Cardiology
·
2
Non-invasive Calculation of Fractional Flow Reserve for Reclassification of Potentially Hemodynamically-significant Coronary Artery Disease by Coronary Computed Tomography Angiography in Emergency Department Chest Pain Patients
2016
·
Harold Litt
, Erin Greco
, et al.
·
Journal of the American College of Cardiology
·
1
PDF
Dual energy for material differentiation in coronary arteries using electron-beam CT
2005
·
Souma Sengupta
, Sanjay Jha
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
·
1
26-a-11619-acc Budget Impact Analysis of Artificial Intelligence-guided Coronary Plaque Analysis Vs. Usual Care From a Us Payer Perspective
2026
·
Suzanne Baron
, Campbell D.K. Rogers
, et al.
·
Journal of the American College of Cardiology
Abstract 4370263: Cost-Effectiveness of AI-Enabled Coronary Plaque Analysis for Management of Stable Coronary Artery Disease
2025
·
Suzanne Baron
, Campbell Rogers
, et al.
·
Circulation
Abstract 4335849: Improvements in Diagnostic and Therapeutic Cardiovascular Risk Assessment Through Total Plaque Volume Burden: An Analysis of the Fish&Chips Study
2025
·
Shyon Parsa
, Allison Peng
, et al.
·
Circulation
Abstract 4364267: Population Changes in AI Coronary Plaque Volumes over 7 Years
2025
·
Matthew Budoff
, Andreas Schuh
, et al.
·
Circulation
TCT-436 Comparison of AI-enabled anatomy-physiology mismatch rates between Photon Counting and standard Energy Integrating Detector CT Scanners
2025
·
Omar Khalique
, Roosha Parikh
, et al.
·
Journal of the American College of Cardiology
TCT-1269 Associations Between AI Based-Quantitative Coronary Plaque Analysis, Calcium Score, and ASCVD Score with Major Adverse Cardiovascular Events: An Observational Study from Piedmont Heart Institute CCTA Registry
2025
·
Carson Booth
, Roshin Mathew
, et al.
·
Journal of the American College of Cardiology
Method For Determining Optimal CT Reconstruction Parameters For Quantitative Anatomic Modeling Compared To An Invasive Standard
2019
·
Eric Gros
, Julia Fox
, et al.
·
Journal of cardiovascular computed tomography
Abstract 18978: Fractional Flow Reserve Derived From Coronary Computed Tomography Safely Defers Invasive Coronary Angiography in Patients With Stable Coronary Artery Disease
2016
·
Mark Rabbat
, Brian Kauh
, et al.
·
Circulation
Non-invasive Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography in Patients With Acute Chest Pain: Results From the Romicat Ii Trial
2016
·
Maros Ferencik
, Michael T. Lu
, et al.
·
Journal of the American College of Cardiology
PDF
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Works count:
13
Citation count:
7
H-index:
2
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