Automated multilabel diagnosis on electrocardiographic images and signals V Sangha, BJ Mortazavi, AD Haimovich, AH Ribeiro, CA Brandt, ... Nature communications 13 (1), 1583, 2022 | 77 | 2022 |
Detection of left ventricular systolic dysfunction from electrocardiographic images V Sangha, AA Nargesi, LS Dhingra, A Khunte, BJ Mortazavi, AH Ribeiro, ... Circulation 148 (9), 765-777, 2023 | 67 | 2023 |
Patterns of prescribing sodium-glucose cotransporter-2 inhibitors for Medicare beneficiaries in the United States V Sangha, K Lipska, Z Lin, SE Inzucchi, DK McGuire, HM Krumholz, ... Circulation: Cardiovascular Quality and Outcomes 14 (2), e008381, 2021 | 37 | 2021 |
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices A Khunte, V Sangha, EK Oikonomou, LS Dhingra, A Aminorroaya, ... npj Digital Medicine 6 (1), 124, 2023 | 36 | 2023 |
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images V Sangha, A Khunte, G Holste, BJ Mortazavi, Z Wang, EK Oikonomou, ... Journal of the American Medical Informatics Association 31 (4), 855-865, 2024 | 14 | 2024 |
Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning V Sangha, LS Dhingra, E Oikonomou, A Aminorroaya, NV Sikand, S Sen, ... medRxiv, 2023 | 12 | 2023 |
Artificial intelligence–enhanced risk stratification of cancer therapeutics–related cardiac dysfunction using electrocardiographic images EK Oikonomou, V Sangha, LS Dhingra, A Aminorroaya, A Coppi, ... Circulation: Cardiovascular Quality and Outcomes 18 (1), e011504, 2025 | 10 | 2025 |
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations R Khera, BJ Mortazavi, V Sangha, F Warner, H Patrick Young, JS Ross, ... npj Digital Medicine 5 (1), 27, 2022 | 7 | 2022 |
Accuracy of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations from the electronic health record R Khera, BJ Mortazavi, V Sangha, F Warner, HP Young, JS Ross, ... medRxiv, 2021 | 7 | 2021 |
Deep learning-enabled detection of aortic stenosis from noisy single lead electrocardiograms A Aminorroaya, LS Dhingra, V Sangha, EK Oikonomou, A Khunte, ... medRxiv, 2023.09. 29.23296310, 2023 | 6 | 2023 |
County-level variation in cardioprotective antihyperglycemic prescribing among medicare beneficiaries J Hanna, AA Nargesi, UR Essien, V Sangha, Z Lin, HM Krumholz, ... American Journal of Preventive Cardiology 11, 100370, 2022 | 6 | 2022 |
Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care A Khunte, V Sangha, EK Oikonomou, LS Dhingra, A Aminorroaya, ... medRxiv, 2024 | 4 | 2024 |
A multicenter evaluation of the impact of therapies on deep learning-based electrocardiographic hypertrophic cardiomyopathy markers LS Dhingra, V Sangha, A Aminorroaya, R Bryde, A Gaballa, AH Ali, ... The American Journal of Cardiology 237, 35-40, 2025 | 3 | 2025 |
Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study LS Dhingra, A Aminorroaya, V Sangha, AP Camargos, FW Asselbergs, ... medRxiv, 2024 | 3 | 2024 |
A Multicenter Evaluation of the Impact of Procedural and Pharmacological Interventions on Deep Learning-based Electrocardiographic Markers of Hypertrophic Cardiomyopathy LS Dhingra, V Sangha, A Aminorroaya, R Bryde, A Gaballa, AH Ali, ... medRxiv, 2024.01. 15.24301011, 2024 | 3 | 2024 |
Tracking the pre-clinical progression of transthyretin amyloid cardiomyopathy using artificial intelligence-enabled electrocardiography and echocardiography EK Oikonomou, V Sangha, SV Shankar, A Coppi, HM Krumholz, K Nasir, ... medRxiv, 2024 | 2 | 2024 |
Artificial Intelligence Applied to Electrocardiographic Images for Scalable Screening of Transthyretin Amyloid Cardiomyopathy V Sangha, EK Oikonomou, R Khera medRxiv, 2024.09. 30.24314651, 2024 | 2 | 2024 |
Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study LS Dhingra, A Aminorroaya, V Sangha, AF Pedroso, FW Asselbergs, ... European Heart Journal, ehae914, 2025 | 1 | 2025 |
Artificial Intelligence Enabled Prediction of Heart Failure Risk from Single-lead Electrocardiograms LS Dhingra, A Aminorroaya, AF Pedroso, A Khunte, V Sangha, D McIntyre, ... medRxiv, 2024 | 1 | 2024 |
An Ensemble Deep Learning Model to Automate Screening For Multiple Structural Heart Diseases on 12-Lead Electrocardiograms LS Dhingra, A Aminorroaya, A Khunte, V Sangha, S Sen, N Haynes, ... Circulation 148 (Suppl_1), A17094-A17094, 2023 | 1 | 2023 |