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Current Cardiology Reports|July 31, 2020
The Role of Artificial Intelligence in EchocardiographyKarthik Seetharam, Sameer Raina, Partho P SenguptaJACC. Cardiovascular Imaging|November 16, 2013
Intelligent platforms for disease assessment: novel approaches in functional echocardiographyPartho P SenguptaCurrent Cardiology Reports|January 23, 2013
Longitudinal and circumferential strain in patients with regional LV dysfunctionManish Bansal, Partho P SenguptaHeart Failure Clinics|July 5, 2008
Reclassifying heart failure: predominantly subendocardial, subepicardial, and transmuralPartho P Sengupta, Jagat NarulaProgress in Cardiovascular Diseases|August 2, 2014
Myocardial mechanics in cardiomyopathiesKaren Modesto, Partho P SenguptaJournal of Patient-Centered Research and Reviews|May 23, 2022
Electrocardiogram-Based Machine Learning Emulator Model for Predicting Novel Echocardiography-Derived Phenogroups for Cardiac Risk-Stratification: A Prospective Multicenter Cohort StudyHeenaben B Patel, Naveena Yanamala, Brijesh Patel, et al.Global Heart|April 24, 2017
Is TAVR Ready for the Global Aging Population?Travis Bergmann, Partho P Sengupta, Jagat NarulaEuropean Heart Journal. Imaging Methods and Practice|April 15, 2026
The global roadmap for cardiovascular imaging: bridging the diagnostic dividePartho P Sengupta, Y Chandrashekhar, Jagat NarulaEuropean Heart Journal|June 23, 2026
Diastolic dysfunction is linked to the initiation and progression of aortic stenosis: a hypothesisPartho P Sengupta, Naveena Yanamala, Phillipe PibarotHeart Failure Clinics|March 28, 2022
Machine Learning in Cardiovascular ImagingNobuyuki Kagiyama, Márton Tokodi, Partho P SenguptaPageof 24