Maryam Toloubidokhti

According to our database, Maryam Toloubidokhti authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horácek, John L. Sapp, Linwei Wang

IEEE Trans. Medical Imaging, August, 2024

HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology.

Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang

CoRR, 2024

DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks.

Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang

IEEE Trans. Medical Imaging, February, 2023

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

Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit.

Maryam Toloubidokhti, Omar A. Gharbia, Natalia A. Trayanova, John L. Sapp, Linwei Wang

Proceedings of the Computing in Cardiology, 2023

A 3D Camera-Based Approach to High-Density ECG Imaging.

Nikhil Shenoy, Maryam Toloubidokhti, Linwei Wang, Vivek Singh, Ankur Kapoor

Proceedings of the Computing in Cardiology, 2023

2022

Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data.

Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang

IEEE Trans. Biomed. Eng., 2022

Neural State-Space Modeling with Latent Causal-Effect Disentanglement.

Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators.

Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling.

Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction.

Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake A. Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, Linwei Wang

Proceedings of the Functional Imaging and Modeling of the Heart, 2021