Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. - 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 (FIMH, 2021)

Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. - Xiajun Jiang; Ryan Missel; Maryam Toloubidokhti; Zhiyuan Li 007; Omar Gharbia; John L. Sapp; Linwei Wang (MICCAI (6), 2021)

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. - Maryam Toloubidokhti; Nilesh Kumar; Zhiyuan Li 007; Prashnna K. Gyawali; Brian Zenger; Wilson W. Good; Rob S. MacLeod; Linwei Wang (MICCAI (8), 2022)

Neural State-Space Modeling with Latent Causal-Effect Disentanglement. - Maryam Toloubidokhti; Ryan Missel; Xiajun Jiang; Niels Otani; Linwei Wang (MLMI@MICCAI, 2022)

Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. - Prashnna K. Gyawali; Jaideep Vitthal Murkute; Maryam Toloubidokhti; Xiajun Jiang; B. Milan Horácek; John L. Sapp; Linwei Wang (IEEE Trans. Biomed. Eng., 2022)

A 3D Camera-Based Approach to High-Density ECG Imaging. - Nikhil Shenoy; Maryam Toloubidokhti; Linwei Wang; Vivek Singh; Ankur Kapoor (CinC, 2023)

Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit. - Maryam Toloubidokhti; Omar A. Gharbia; Natalia A. Trayanova; John L. Sapp; Linwei Wang (CinC, 2023)

A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. - Yubo Ye; Huafeng Liu 003; Xiajun Jiang; Maryam Toloubidokhti; Linwei Wang (MICCAI (7), 2023)

Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. - Xiajun Jiang; Maryam Toloubidokhti; Jake Bergquist; Brian Zenger; Wilson W. Good; Rob S. MacLeod; Linwei Wang (IEEE Trans. Medical Imaging, 2023)

DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. - Maryam Toloubidokhti; Yubo Ye; Ryan Missel; Xiajun Jiang; Nilesh Kumar; Ruby Shrestha; Linwei Wang (ICLR, 2024)

On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution. - Yubo Ye; Maryam Toloubidokhti; Sumeet Vadhavkar; Xiajun Jiang; Huafeng Liu 003; Linwei Wang (NeurIPS, 2024)

HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology. - Xiajun Jiang; Sumeet Vadhavkar; Yubo Ye; Maryam Toloubidokhti; Ryan Missel; Linwei Wang (CoRR, 2024)

Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. - Xiajun Jiang; Ryan Missel; Maryam Toloubidokhti; Karli Gillette; Anton J. Prassl; Gernot Plank; B. Milan Horácek; John L. Sapp; Linwei Wang (IEEE Trans. Medical Imaging, 2024)

A Novel 3D Camera-Based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration. - Nikhil Shenoy; Maryam Toloubidokhti; Omar Gharbia; MirMilad P. Khoshknab; Saman Nazarian; John L. Sapp; Vivek Singh; Ankur Kapoor; Linwei Wang (IEEE J. Biomed. Health Informatics, 2025)