Maryam Toloubidokhti

17 papers A* 2Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel 3D Camera-Based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration.
IEEE J. Biomed. Health Informatics
Nikhil Shenoy, Maryam Toloubidokhti, Omar Gharbia, MirMilad P. Khoshknab, Saman Nazarian, John L. Sapp, Vivek Singh, Ankur Kapoor, Linwei Wang
2025 — conf
Meta-learning Physics-Informed Neural Networks for Personalized Cardiac Modeling.
MICCAI (1)
Maryam Toloubidokhti, Ryan Missel, Shichang Lian, Linwei Wang
2024 A* conf
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks.
ICLR
Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang
2024 J jnl
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology.
CoRR
Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang
2024 J jnl
Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging.
IEEE Trans. Medical Imaging
Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horácek, John L. Sapp, Linwei Wang
2024 A* conf
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution.
NeurIPS
Yubo Ye, Maryam Toloubidokhti, Sumeet Vadhavkar, Xiajun Jiang, Huafeng Liu, Linwei Wang
2023 — conf
A 3D Camera-Based Approach to High-Density ECG Imaging.
CinC
Nikhil Shenoy, Maryam Toloubidokhti, Linwei Wang, Vivek Singh, Ankur Kapoor
2023 — conf
A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference.
MICCAI (7)
Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang
2023 — conf
Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit.
CinC
Maryam Toloubidokhti, Omar A. Gharbia, Natalia A. Trayanova, John L. Sapp, Linwei Wang
2023 J jnl
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences.
IEEE Trans. Medical Imaging
Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2022 — conf
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators.
MICCAI (8)
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2022 J jnl
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators.
CoRR
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2022 J jnl
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data.
IEEE Trans. Biomed. Eng.
Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang
2022 — conf
Neural State-Space Modeling with Latent Causal-Effect Disentanglement.
MLMI@MICCAI
Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
2022 J jnl
Neural State-Space Modeling with Latent Causal-Effect Disentanglement.
CoRR
Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
2021 — conf
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction.
FIMH
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
2021 — conf
Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling.
MICCAI (6)
Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang