Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
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
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
Published in The Eleventh International Conference on Learning Representations (ICLR), 2023
Recommended citation: *Xiajun Jiang, *Ryan Missel, Zhiyuan Li, Linwei Wang. Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. In Eleventh International Conference on Learning Representations (ICLR), 2023. (* equal contribution) https://openreview.net/pdf?id=7C9aRX2nBf2
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
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
COMP 4745 Introduction to Machine Learning
Undergraduate course, Department of Computer Science, University of Memphis, 2024