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ORCIDMaryam Toloubidokhti
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2020 – today
- 2024
[j3]Xiajun Jiang
, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horácek, John L. Sapp, Linwei Wang:
Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. IEEE Trans. Medical Imaging 43(8): 2733-2744 (2024)- [c8]Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang:
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. ICLR 2024 - [i3]Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang:
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology. CoRR abs/2403.15433 (2024) - 2023
- [j2]Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. IEEE Trans. Medical Imaging 42(2): 403-415 (2023) - [c7]Nikhil Shenoy, Maryam Toloubidokhti, Linwei Wang, Vivek Singh, Ankur Kapoor:
A 3D Camera-Based Approach to High-Density ECG Imaging. CinC 2023: 1-4 - [c6]Maryam Toloubidokhti, Omar A. Gharbia, Natalia A. Trayanova, John L. Sapp, Linwei Wang:
Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit. CinC 2023: 1-4 - [c5]Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang:
A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. MICCAI (7) 2023: 163-172 - 2022
- [j1]Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang:
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. IEEE Trans. Biomed. Eng. 69(2): 860-870 (2022) - [c4]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI 2022: 338-347 - [c3]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) 2022: 459-468 - [i2]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. CoRR abs/2209.12387 (2022) - [i1]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR abs/2211.01373 (2022) - 2021
- [c2]Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake A. Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, Linwei Wang:
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH 2021: 471-481 - [c1]Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang:
Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. MICCAI (6) 2021: 361-371
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