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2020 – today
- 2024
[j4]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)- [c12]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 - [c11]Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang:
LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. MICCAI (6) 2024: 359-368 - [i6]Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang:
LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. CoRR abs/2403.06901 (2024) - [i5]Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang:
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework. CoRR abs/2403.08194 (2024) - [i4]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
- [j3]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) - [c10]Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang:
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. ICLR 2023 - [c9]Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang:
Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR 2023 - [c8]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
- [j2]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) - [c7]Xiajun Jiang, Jess D. Tate, Jake Bergquist, Akil Narayan, Rob S. MacLeod, Linwei Wang:
Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI. CinC 2022: 1-4 - [c6]Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang:
Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning. MICCAI (8) 2022: 46-56 - [c5]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI 2022: 338-347 - [i3]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. CoRR abs/2209.12387 (2022) - [i2]Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang:
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning. CoRR abs/2210.02967 (2022) - 2021
- [c4]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 - [c3]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 - 2020
- [c2]Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang:
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) 2020: 487-496 - [i1]Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang:
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR abs/2007.09522 (2020)
2010 – 2019
- 2017
- [j1]Yidi Gao, Xiajun Jiang, Huibin Shi:
基于尺寸建立个性化人体模型的方法 (Personalized Human Body Modeling Method Based on Measurements). 计算机科学 44(12): 279-282 (2017) - 2010
- [c1]Xiajun Jiang, Yuping Zhang, Dechang Pi:
An XML-Based Data Model for Moving Object Database. FGIT-DTA/BSBT 2010: 19-28
Coauthor Index
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