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2020 – today
- 2024
[j2]Xiajun Jiang
, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horácek, John L. Sapp, Linwei Wang:
Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. IEEE Trans. Medical Imaging 43(8): 2733-2744 (2024)- [c8]Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang:
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. ICLR 2024 - [i4]Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang:
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework. CoRR abs/2403.08194 (2024) - [i3]Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang:
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology. CoRR abs/2403.15433 (2024) - 2023
- [c7]Bipin Lekhak, Ryan Missel, Dillon Dzikowicz, Solomiya Rachynska, Wojciech Zareba, Linwei Wang:
Novel In-Home Cardiac Monitoring for Heart Failure Patients. CinC 2023: 1-4 - [c6]Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin N. Hartzel, Jeffery Ruhl, Brandon K. Fornwalt, Linwei Wang:
A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction. CinC 2023: 1-4 - [c5]Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang:
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. ICLR 2023 - [c4]Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang:
Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR 2023 - 2022
- [c3]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. MICCAI (8) 2022: 46-56 - [c2]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI 2022: 338-347 - [i2]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. CoRR abs/2209.12387 (2022) - [i1]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. CoRR abs/2210.02967 (2022) - 2021
- [c1]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. MICCAI (6) 2021: 361-371 - 2020
- [j1]Ryan Missel, Prashnna K. Gyawali, Jaideep Vitthal Murkute, Zhiyuan Li, Shijie Zhou, Amir AbdelWahab, Jason Davis, James Warren, John L. Sapp, Linwei Wang:
A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms. Comput. Biol. Medicine 126: 104013 (2020)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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