| 2025 | MICCAI | Meta-learning Physics-Informed Neural Networks for Personalized Cardiac Modeling. | Maryam Toloubidokhti, Ryan Missel, Shichang Lian, Linwei Wang |
| 2024 | ICLR | 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 |
| 2023 | MICCAI | A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. | Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang |
| 2022 | MICCAI | Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. | Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang |
| 2022 | MICCAI | Neural State-Space Modeling with Latent Causal-Effect Disentanglement. | Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang |
| 2021 | MICCAI | Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. | Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang |