Xiajun Jiang

According to our database, Xiajun Jiang authored at least 16 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework.

Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang

CoRR, 2024

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration.

Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang

CoRR, 2024

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, February, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Continual Unsupervised Disentangling of Self-Organizing Representations.

Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting.

Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Neural State-Space Modeling with Latent Causal-Effect Disentanglement.

Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning.

Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI.

Xiajun Jiang, Jess D. Tate, Jake Bergquist, Akil Narayan, Rob S. MacLeod, Linwei Wang

Proceedings of the Computing in Cardiology, 2022

2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction.

Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017

基于尺寸建立个性化人体模型的方法 (Personalized Human Body Modeling Method Based on Measurements).

Yidi Gao, Xiajun Jiang, Huibin Shi

计算机科学, 2017

2010

An XML-Based Data Model for Moving Object Database.

Xiajun Jiang, Yuping Zhang, Dechang Pi

Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010