| Learning to disentangle inter-subject anatomical variations in electrocardiographic data PK Gyawali, JV Murkute, M Toloubidokhti, X Jiang, BM Horacek, JL Sapp, ... IEEE Transactions on Biomedical Engineering 69 (2), 860-870, 2021 | 14 | 2021 |
| Improving generalization by learning geometry-dependent and physics-based reconstruction of image sequences X Jiang, M Toloubidokhti, J Bergquist, B Zenger, WW Good, RS MacLeod, ... IEEE transactions on medical imaging 42 (2), 403-415, 2022 | 10 | 2022 |
| Label-free physics-informed image sequence reconstruction with disentangled spatial-temporal modeling X Jiang, R Missel, M Toloubidokhti, Z Li, O Gharbia, JL Sapp, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Deep adaptive electrocardiographic imaging with generative forward model for error reduction M Toloubidokhti, PK Gyawali, OA Gharbia, X Jiang, JC Font, JA Bergquist, ... International Conference on Functional Imaging and Modeling of the Heart …, 2021 | 6 | 2021 |
| DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks M Toloubidokhti, Y Ye, R Missel, X Jiang, N Kumar, R Shrestha, L Wang The Twelfth International Conference on Learning Representations, 2024, 2023 | 5 | 2023 |
| Hybrid neural state-space modeling for supervised and unsupervised electrocardiographic imaging X Jiang, R Missel, M Toloubidokhti, K Gillette, AJ Prassl, G Plank, ... IEEE Transactions on Medical Imaging, 2024 | 4 | 2024 |
| A spatial-temporally adaptive PINN framework for 3D bi-ventricular electrophysiological simulations and parameter inference Y Ye, H Liu, X Jiang, M Toloubidokhti, L Wang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
| A Novel 3D Camera-based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration N Shenoy, M Toloubidokhti, O Gharbia, MMP Khoshknab, S Nazarian, ... IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| Hyper-EP: Meta-learning hybrid personalized models for cardiac electrophysiology X Jiang, S Vadhavkar, Y Ye, M Toloubidokhti, R Missel, L Wang arXiv preprint arXiv:2403.15433, 2024 | 1 | 2024 |
| Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators M Toloubidokhti, N Kumar, Z Li, PK Gyawali, B Zenger, WW Good, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1 | 2022 |
| On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution Y Ye, M Tolou, S Vadhavkar, X Jiang, H Liu, L Wang Advances in Neural Information Processing Systems 37, 7714-7735, 2024 | | 2024 |
| Understanding the Utility of Endocardial Electrocardiographic Imaging in Epi-Endocardial Mapping of 3D Reentrant Circuits M Toloubidokhti, OA Gharbia, A Parkosa, N Trayanova, A Hadjis, R Tung, ... medRxiv, 2024 | | 2024 |
| A 3D Camera-Based Approach to High-Density ECG Imaging N Shenoy, M Toloubidokhti, L Wang, V Singh, A Kapoor 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit M Toloubidokhti, OA Gharbia, N Trayanova, J Sapp, L Wang 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Neural State-Space Modeling with Latent Causal-Effect Disentanglement M Toloubidokhti, R Missel, X Jiang, N Otani, L Wang International Workshop on Machine Learning in Medical Imaging, 338-347, 2022 | | 2022 |
| Localizing VT 3D reentrant circuit using epicardial-endocardial ECGI M Toloubidokhti, OA Gharbia, S Tao, H Halperin, N Trayanova, L Wang Journal of Electrocardiology 73, 25-26, 2022 | | 2022 |
| B-PO03-122 DELINEATION OF 3D REENTRANT CIRCUITS USING EPICARDIAL-ENDOCARDIAL ELECTROCARDIOGRAPHIC IMAGING OA Gharbia, M Toloubidokhti, A Prakosa, NA Trayanova, JL Sapp, ... Heart Rhythm 18 (8), S238, 2021 | | 2021 |
Linwei WangRochester Institute of TechnologyVerified email at rit.edu
