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Maryam Toloubidokhti
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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
102021
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
82021
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
32021
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
22022
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
2024
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
2024
A Novel 3D Camera-based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration
N Shenoy, M Toloubidokhti, O Gharbia, MP Khoshknab, S Nazarian, ...
Authorea Preprints, 2024
2024
Understanding the Utility of Endocardial Electrocardiographic Imaging in Epi-Endocardial Mapping of 3D Reentrant Circuits
M Toloubidokhti, O Gharbia, A Prakosa, N Trayanova, S Nazarian, J Sapp, ...
medRxiv, 2024.03. 13.24304259, 2024
2024
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, 2023
2023
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
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
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
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
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
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