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Tanmay Gokhale
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Year
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
332017
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
172018
Machine learning based identification of pathological heart sounds
T Gokhale
2016 Computing in Cardiology Conference (CinC), 553-556, 2016
122016
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
102017
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
82021
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
62016
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
12024
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
12018
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
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Articles 1–19