| Human atrial fibrillation drivers resolved with integrated functional and structural imaging to benefit clinical mapping BJ Hansen, J Zhao, N Li, A Zolotarev, S Zakharkin, Y Wang, J Atwal, ... JACC: Clinical Electrophysiology 4 (12), 1501-1515, 2018 | 68 | 2018 |
| Optical mapping-validated machine learning improves atrial fibrillation driver detection by multi-electrode mapping AM Zolotarev, BJ Hansen, EA Ivanova, KM Helfrich, N Li, PML Janssen, ... Circulation: Arrhythmia and Electrophysiology 13 (10), e008249, 2020 | 36 | 2020 |
| Unmasking Arrhythmogenic Hubs of Reentry Driving Persistent Atrial Fibrillation for Patient‐Specific Treatment BJ Hansen, J Zhao, KM Helfrich, N Li, A Iancau, AM Zolotarev, ... Journal of the American Heart Association 9 (19), e017789, 2020 | 24 | 2020 |
| Open-source multiparametric optocardiography B Cathey, S Obaid, AM Zolotarev, RA Pryamonosov, RA Syunyaev, ... Scientific reports 9 (1), 721, 2019 | 23 | 2019 |
| Constructing bilayer and volumetric atrial models at scale CH Roney, JA Solis Lemus, C Lopez Barrera, A Zolotarev, O Ulgen, ... Interface focus 13 (6), 20230038, 2023 | 5 | 2023 |
| Artificial intelligence trained with optical mapping to improve detection of cardiac arrhythmia sources VV Fedorov, B Hansen, AM Zolotarev, DV Dylov, EA Ivanova, MV Fedorov | 1 | 2020 |
| PO-05-163 TOWARDS AUTOMATED GENERATION OF ABLATION LESION MASKS: A UNISON OF ELECTRO AND OPTIC FLOW MAPPING OA Jaffery, CE Barrera, C Rodero, A Zolotarev, WW Good, G Slabaugh, ... Heart Rhythm 21 (5), S568, 2024 | | 2024 |
| PO-05-025 ANATOMICAL AND PHYSIOLOGICAL FEATURES IMPROVE AF ABLATION OUTCOME PREDICTION: A COMBINED DEEP LEARNING AND IN-SILICO APPROACH A Zolotarev, C Rodero, SM Narayan, EJ Vigmond, G Plank, SA Niederer, ... Heart Rhythm 21 (5), S561-S562, 2024 | | 2024 |
| PO-05-031 THE DETERMINATION OF ABLATION TARGETS IN PATIENT-SPECIFIC ATRIAL MODELS IS INFLUENCED BY THE DATA USED FOR CALIBRATION. M Ehnesh, H Valli, A Zolotarev, OA Jaffery, CL Barrera, EJ Vigmond, ... Heart Rhythm 21 (5), S564-S565, 2024 | | 2024 |
| Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Digital Twins AM Zolotarev, AKR Khan, G Slabaugh, C Roney Medical Imaging with Deep Learning, 2024 | | 2024 |
| Misclassification Loss for Segmentation of the Aortic Vessel Tree A Khan, M Asad, A Zolotarev, C Roney, A Mathur, M Benning, G Slabaugh MICCAI Challenge on Segmentation of the Aorta, 67-79, 2023 | | 2023 |
| The Impact of Electrogram Type and Conduction Velocity Estimation Techniques on Assessments of Conduction Velocity During Ventricular Substrate Mapping M Ehnesh, J Tonko, AM Zolotarev, EJ Vigmond, PD Lambiase, C Roney 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Atrial Fibrosis Distribution Generation Based on the Diffusion Models AM Zolotarev, CH Roney 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Ex-vivo-to-In-vivo Learning in Cardiology AM Zolotarev, OY Rogov, AV Mikhailov, JD Hummel, VV Fedorov, ... Medical Imaging with Deep Learning, 2021 | | 2021 |
Vadim FedorovProfessor of Physiology and Cell Biology, The Ohio State UniversityVerified email at osumc.edu
