Modeling dynamics in diseased cardiac tissue: Impact of model choice TA Gokhale, E Medvescek, CS Henriquez Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (9), 2017 | 33 | 2017 |
Microheterogeneity-induced conduction slowing and wavefront collisions govern macroscopic conduction behavior: A computational and experimental study TA Gokhale, H Asfour, S Verma, N Bursac, CS Henriquez PLOS Computational Biology 14 (7), e1006276, 2018 | 17 | 2018 |
Machine learning based identification of pathological heart sounds T Gokhale 2016 Computing in Cardiology Conference (CinC), 553-556, 2016 | 12 | 2016 |
Modeling an excitable biosynthetic tissue with inherent variability for paired computational-experimental studies TA Gokhale, JM Kim, RD Kirkton, N Bursac, CS Henriquez PLOS Computational Biology 13 (1), e1005342, 2017 | 10 | 2017 |
A case of pembrolizumab induced distal renal tubular acidosis SO Atiq, T Gokhale, Z Atiq, R Holmes, MA Sparks Journal of Onco-Nephrology 5 (1), 23-26, 2021 | 8 | 2021 |
Continuous models fail to capture details of reentry in fibrotic myocardium TA Gokhale, E Medvescek, CS Henriquez 2016 Computing in Cardiology Conference (CinC), 1-4, 2016 | 6 | 2016 |
ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction NT Riek, M Akcakaya, Z Bouzid, T Gokhale, S Helman, K Kraevsky-Philips, ... arXiv preprint arXiv:2405.09567, 2024 | 1 | 2024 |
Evaluating the Impact of Early Clinical Role Exposure to Ease Transition to the Clinical Year TA Gokhale, SM Chudgar Medical Science Educator 28, 285-287, 2018 | 1 | 2018 |
Clinical usability of deep learning-based saliency maps for occlusion myocardial infarction identification from the prehospital 12-Lead electrocardiogram NT Riek, TA Gokhale, C Martin-Gill, K Kraevsky-Philips, JK Zègre-Hemsey, ... Journal of Electrocardiology, 153792, 2024 | | 2024 |
Saliency maps to enhance explainability of occlusion myocardial infarction classification among pre-hospital chest pain patients NT Riek, Z Bouzid, T Gokhale, P Van Dam, K Kraevsky-Philips, S Helman, ... Journal of Electrocardiology 84, 12-13, 2024 | | 2024 |
Risk Stratification of Pulmonary Embolism via ECG-Based Machine Learning Model T Gokhale, NT Riek, Z Bouzid, B Medoff, A Viqar, E Sejdic, M Akcakaya, ... Journal of the American College of Cardiology 83 (13_Supplement), 2315-2315, 2024 | | 2024 |
Machine learning with electrocardiograms to optimize mortality risk stratification in patients with suspected acute coronary syndrome Z Bouzid, E Sejdic, C Martin-Gill, Z Faramand, M Alrawashdeh, ... European Heart Journal: Acute Cardiovascular Care 13 (Supplement_1), zuae036 …, 2024 | | 2024 |
Challenging the Paradigm of Post-Capillary Pulmonary Hypertension T Gokhale, ME Harinstein American Journal of Cardiology 215, 74-75, 2024 | | 2024 |
Severity of Diastolic Dysfunction Predicts Risk of Myocardial Infarction TA Gokhale, M Dhande, SR Mulukutla, FW Thoma, A Bhonsale, ... Circulation 148 (Suppl_1), A17428-A17428, 2023 | | 2023 |
Inverse ECG imaging as a novel solution for acute coronary syndrome classification from standard 12-lead ECG in the emergency department Z Bouzid, NT Riek, P Van Dam, T Gokhale, M Akcakaya, E Sejdic, ... Journal of Electrocardiology 78, 5-6, 2023 | | 2023 |
Robust estimation of ST segment amplitude: Revisiting the logic of automated ECG interpretation systems for STEMI classification NT Riek, P Van Dam, Z Bouzid, T Gokhale, R Gregg, E Sejdic, ... Journal of Electrocardiology 78, 23-24, 2023 | | 2023 |
PO-02-021 DIRECTION OF REPOLARIZATION IN BASELINE ECG IS PREDICTIVE OF RESPONSE TO CARDIAC RESYNCHRONIZATION THERAPY T Gokhale, Z Bouzid, N Riek, PM van Dam, S Al-Zaiti, SF Saba Heart Rhythm 20 (5), S360-S361, 2023 | | 2023 |
Bridging Scales: How Microstructural Features Impact Macroscopic Cardiac Propagation TA Gokhale Duke University, 2018 | | 2018 |
Estimating Effective Conductivities Of Engineered Cardiac Monolayers TA Gokhale, CS Henriquez | | |