| 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 | 14 | 2021 |
| Learning geometry-dependent and physics-based inverse image reconstruction X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 2020 |
| Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting X Jiang, R Missel, Z Li, L Wang The Eleventh International Conference on Learning Representations, 2023 | 12 | 2023 |
| 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 | 10 | 2022 |
| 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 | 9 | 2021 |
| Continual Unsupervised Disentangling of Self-Organizing Representations Z Li, X Jiang, R Missel, PK Gyawali, N Kumar, L Wang The Eleventh International Conference on Learning Representations, 2023 | 8 | 2023 |
| 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 | 6 | 2021 |
| 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, 0 | 5* | |
| 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 | 4 | 2024 |
| 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 | 4 | 2023 |
| Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning X Jiang, Z Li, R Missel, MS Zaman, B Zenger, WW Good, RS MacLeod, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI X Jiang, J Tate, J Bergquist, A Narayan, R MacLeod, L Wang 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 2 | 2022 |
| LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration D Wang, S Azadvar, J Heiselman, X Jiang, M Miga, L Wang International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution Y Ye, M Tolou, S Vadhavkar, X Jiang, H Liu, L Wang Advances in Neural Information Processing Systems 37, 7714-7735, 2024 | | 2024 |
| Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework Y Ye, S Vadhavkar, X Jiang, R Missel, H Liu, L Wang arXiv preprint arXiv:2403.08194, 2024 | | 2024 |
| Improving Adaptation of Deep Learning with Inductive Bias X Jiang Rochester Institute of Technology, 2024 | | 2024 |
| 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 |
Linwei WangRochester Institute of Technology確認したメール アドレス: rit.edu
