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Sirish Shrestha

Artificial Intelligence in Cardiovascular Imaging
2019 · Damini Dey, Piotr J. Slomka, et al. · Journal of the American College of Cardiology · 704
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Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
2020 · Partho P. Sengupta, Sirish Shrestha, et al. · JACC. Cardiovascular imaging · 229
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Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease
2019 · Nobuyuki Kagiyama, Sirish Shrestha, et al. · Journal of the American Heart Association · 188
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Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features
2020 · Nobuyuki Kagiyama, Marco Piccirilli, et al. · Journal of the American College of Cardiology · 112
A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity
2021 · Partho P. Sengupta, Sirish Shrestha, et al. · JACC. Cardiovascular imaging · 89
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Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis
2019 · Grace Casaclang-Verzosa, Sirish Shrestha, et al. · JACC. Cardiovascular imaging · 86
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Artificial Intelligence in Cardiovascular Medicine
2019 · Karthik Seetharam, Sirish Shrestha, et al. · Current Treatment Options in Cardiovascular Medicine · 79
A low-cost texture-based pipeline for predicting myocardial tissue remodeling and fibrosis using cardiac ultrasound
2020 · Nobuyuki Kagiyama, Sirish Shrestha, et al. · EBioMedicine · 56
Interpatient Similarities in Cardiac Function
2020 · Márton Tokodi, Sirish Shrestha, et al. · JACC. Cardiovascular imaging · 48
Machine Learning for Data-Driven Discovery
2018 · Partho P. Sengupta, Sirish Shrestha · JACC. Cardiovascular imaging · 40
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Machine learning for nuclear cardiology: The way forward
2018 · Sirish Shrestha, Partho P. Sengupta · Journal of Nuclear Cardiology · 39
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A Network-Based “Phenomics” Approach for Discovering Patient Subtypes From High-Throughput Cardiac Imaging Data
2020 · Jung Sun Cho, Sirish Shrestha, et al. · JACC. Cardiovascular imaging · 36
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Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence
2021 · Karthik Seetharam, Sirish Shrestha, et al. · Interventional Cardiology Reviews Research Resources · 33
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CT assessment of the left atrial appendage post-transcatheter occlusion – A systematic review and meta analysis
2020 · Sandeep Banga, Mohammed Osman, et al. · Journal of cardiovascular computed tomography · 23
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Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation
2020 · Yasir Abdul Ghffar, Mohammed Osman, et al. · The American Journal of Cardiology · 21
Artificial Intelligence in Cardiac Imaging
2020 · Karthik Seetharam, Sirish Shrestha, et al. · US Cardiology Review · 19
Imaging Heart Failure With Artificial Intelligence
2018 · Sirish Shrestha, Partho P. Sengupta · Circulation Cardiovascular Imaging · 16
The Mechanics of Machine Learning: From a Concept to Value
2018 · Sirish Shrestha, Partho P. Sengupta · Journal of the American Society of Echocardiography · 14
Advancing Organizational Science Through Synthetic Data: A Path to Enhanced Data Sharing and Collaboration
2024 · Pengda Wang, Andrew C. Loignon, et al. · Journal of Business and Psychology · 12
Clinical Inference From Cardiovascular Imaging: Paradigm Shift Towards Machine-Based Intelligent Platform
2020 · Karthik Seetharam, Nobuyuki Kagiyama, et al. · Current Treatment Options in Cardiovascular Medicine · 12
Echocardiographic assessment of mitral regurgitation
2019 · Nobuyuki Kagiyama, Sirish Shrestha · Journal of Medical Ultrasonics · 11
Solving coronary risk: time to feed machines some calcium (score) supplements
2019 · Partho P Sengupta, Sirish Shrestha, et al. · European Heart Journal · 9
Non-invasive prediction of tissue Doppler-derived E/e′ ratio using lung Doppler signals
2020 · Mina M Benjamin, Christopher Bianco, et al. · European Heart Journal - Cardiovascular Imaging · 3
Metalloproteinase dependent reduction of cell surface cluster determinants upon the induction of apoptosis
2014 · ALBERT MAGRO, ALICE MAGRO, et al. · International Journal of Oncology · 3
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Explainable machine learning for estimation of elevated left ventricular filling pressure: a multicenter validation
2026 · Yutaka Nakamura, Nobuyuki Kagiyama, et al. · Journal of Echocardiography · 1
Works count: 50
Citation count: 1,893
H-index: 16
I10-index: 21
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