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Xiajun Jiang
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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
52021
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction
X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
52020
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
International Conference on Medical Image Computing and Computer-Assisted …, 2021
32021
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
22021
Neural State-Space Modeling with Latent Causal-Effect Disentanglement
M Toloubidokhti, R Missel, X Jiang, N Otani, L Wang
arXiv preprint arXiv:2209.12387, 2022
2022
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
2022
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