Xiajun Jiang

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Citations	41	41
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i10-index	2	2

20212022202320245 17 11 8

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Linwei WangRochester Institute of TechnologyVerified email at rit.edu
Maryam ToloubidokhtiPhD Student, Rochester Institute of TechnologyVerified email at g.rit.edu
Ryan MisselPhD Student, Rochester Institute of TechnologyVerified email at g.rit.edu
Zhiyuan LiPostdoctoral Scholar, Vanderbilt UniversityVerified email at rit.edu
Prashnna K GyawaliStanford UniversityVerified email at stanford.edu
John SappDalhousie University, Nova Scotia Health, QEII Health Sciences CentreVerified email at nshealth.ca
Rob MacLeodProfessor of Biomedical Engineering and Internal Medicine, SCI Institute, University of UtahVerified email at sci.utah.edu
Brian ZengerUniversity of UtahVerified email at utah.edu
Wilson W. GoodAcutus MedicalVerified email at sci.utah.edu
Omar GharbiaUniversity of Utah-- Cardiovescular Research & Tranning IntittiuteVerified email at g.rit.edu
Jake BergquistGraduate Student, University of UtahVerified email at sci.utah.edu
Sandesh GhimireQualcommVerified email at rit.edu
Jwala DhamalaAmazon Alexa AI-NUVerified email at amazon.com
Dana BrooksResearch Professor / Professor Emeritus of Electrical and Computer Engineering, NortheasternVerified email at ece.neu.edu
Jaume Coll-FontBoston ScientificVerified email at bsci.com
Nilesh KumarGraduate Student at Rochester Institute of TechnologyVerified email at rit.edu
Jess TateScientific Computing and Imaging (SCI) InstituteVerified email at sci.utah.edu
Akil NarayanUniversity of UtahVerified email at sci.utah.edu
Huafeng LiuZhejiang UniversityVerified email at zju.edu.cn
Ruby ShresthaPhD Student, Rochester Institute of TechnologyVerified email at g.rit.edu

Xiajun Jiang

Rochester Institute of Technology

Verified email at g.rit.edu

Bayesian Inference Machine Learning Computational Biomedicine Inverse Problem Biomedical Image & Signal Analysis


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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	10	2021
Learning geometry-dependent and physics-based inverse image reconstruction X Jiang, S Ghimire, J Dhamala, Z Li, PK Gyawali, L Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	10	2020
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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	8	2021
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting X Jiang, R Missel, Z Li, L Wang The Eleventh International Conference on Learning Representations, 2023	6	2023
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	3	2021
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences X Jiang, M Toloubidokhti, J Bergquist, B Zenger, WW Good, RS MacLeod, ... IEEE Transactions on Medical Imaging 42 (2), 403-415, 2022	2	2022
Continual Unsupervised Disentangling of Self-Organizing Representations Z Li, X Jiang, R Missel, PK Gyawali, N Kumar, L Wang The Eleventh International Conference on Learning Representations, 2023	1	2023
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	1	2022
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology X Jiang, S Vadhavkar, Y Ye, M Toloubidokhti, R Missel, L Wang arXiv preprint arXiv:2403.15433, 2024		2024
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework Y Ye, S Vadhavkar, X Jiang, R Missel, H Liu, L Wang arXiv preprint arXiv:2403.08194, 2024		2024
Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging X Jiang, R Missel, M Toloubidokhti, K Gillette, AJ Prassl, G Plank, ... IEEE Transactions on Medical Imaging, 2024		2024
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks M Toloubidokhti, Y Ye, R Missel, X Jiang, N Kumar, R Shrestha, L Wang The Twelfth International Conference on Learning Representations, 2023		2023
A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference Y Ye, H Liu, X Jiang, M Toloubidokhti, L Wang International Conference on Medical Image Computing and Computer-Assisted …, 2023		2023
Neural State-Space Modeling with Latent Causal-Effect Disentanglement M Toloubidokhti, R Missel, X Jiang, N Otani, L Wang International Workshop on Machine Learning in Medical Imaging, 338-347, 2022		2022
Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI X Jiang, J Tate, J Bergquist, A Narayan, R MacLeod, L Wang 2022 Computing in Cardiology (CinC) 498, 1-4, 2022		2022

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