Xiajun Jiang, Ph.D.

Xiajun Jiang, Ph.D.

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publications

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction

Published in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020

Recommended citation: Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang. Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, pp. 487-496, 2020. https://doi.org/10.1007/978-3-030-59725-2_47

Label-free physics-informed image sequence reconstruction with disentangled spatial-temporal modeling

Published in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

Recommended citation: *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. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, pp. 361-371, 2021. (* equal contribution) https://doi.org/10.1007/978-3-030-87231-1_35

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

Published in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

Recommended citation: 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. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, pp. 46-56, 2022. https://doi.org/10.1007/978-3-031-16452-1_5

A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference

Published in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

Recommended citation: Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang. A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inferenc. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, pp. 163-172, 2023. https://doi.org/10.1007/978-3-031-43990-2_16

Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences

Published in IEEE Transactions on Medical Imaging, 2022

Recommended citation: 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. In IEEE Transactions on Medical Imaging (IEEE TMI). IEEE, vol. 42, no. 2, pp. 403-415, Feb. 2023. https://doi.org/10.1109/TMI.2022.3218170

Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging

Published in IEEE Transactions on Medical Imaging, 2024

Recommended citation: Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horáček, John L. Sapp, Linwei Wang. Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. Accepted at IEEE Transactions on Medical Imaging (IEEE TMI). 2024. https://doi.org/10.1109/TMI.2024.3377094

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