Sirish Shrestha - Concepedia

Author

Sirish Shrestha

West Virginia University ORCID

Also Known As

S Shrestha, SIRISH SHRESTHA, Shrestha, Sirish;, Sirish SHRESTHA, Sirish Shrestha, Stuti Shrestha

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

West Virginia University Icahn School of Medicine at Mount Sinai Mayo Clinic

About

Sirish Shrestha is an author at West Virginia University specializing in cardiology, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	253
2	Medicine	4	4	232
3	Public Health	4	4	170
4	Biostatistics	3	3	134
5	Health Sciences	1	1	89

Sirish Shrestha

Publications

442

Citations

H-Index

Page 1

	Year	Citations
Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features Nobuyuki Kagiyama, Marco Piccirilli, Naveena Yanamala, Journal of the American College of Cardiology Data ClassificationClassification MethodHeart FailureMachine Learning AssessmentMachine Learning	2020	101
Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis Grace Casaclang‐Verzosa, Sirish Shrestha, Muhammad Jahanzeb Khalil, JACC. Cardiovascular imaging Computed TomographyVascular ImageHealth SciencesMedical ImagingAtherosclerosis	2019	89
A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity Partho P. Sengupta, Sirish Shrestha, Nobuyuki Kagiyama, JACC. Cardiovascular imaging EngineeringMachine LearningCardiovascular DiseaseData ScienceAtherosclerosis	2021	83
A low-cost texture-based pipeline for predicting myocardial tissue remodeling and fibrosis using cardiac ultrasound Nobuyuki Kagiyama, Sirish Shrestha, Jung Sun Cho, EBioMedicine	2020	52
Interpatient Similarities in Cardiac Function Márton Tokodi, Sirish Shrestha, Christopher Bianco, JACC. Cardiovascular imaging Interpatient SimilaritiesHeart FailureCardiac CareMedicineCardiology	2020	48
A Network-Based “Phenomics” Approach for Discovering Patient Subtypes From High-Throughput Cardiac Imaging Data Jung Sun Cho, Sirish Shrestha, Nobuyuki Kagiyama, JACC. Cardiovascular imaging EngineeringBiomedical Data IntegrationData ScienceMedical ImagingData Mining	2020	36
Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation Yasir Abdul Ghffar, Mohammed Osman, Sirish Shrestha, The American Journal of Cardiology Artificial IntelligenceImprove Risk AssessmentEngineeringMachine LearningData Science	2020	21
Clinical Inference From Cardiovascular Imaging: Paradigm Shift Towards Machine-Based Intelligent Platform Karthik Seetharam, Nobuyuki Kagiyama, Sirish Shrestha, Current Treatment Options in Cardiovascular Medicine Heart FailureEngineeringComputational MedicineMedical ImagingCardiovascular Disease	2020	12

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