27 citations · 33 across the 4 of their papers we have counts for
4 papers
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li +5
Prior knowledge about the imaging physics provides a mechanistic forward operator that plays an important role in image reconstruction, although myriad sources of possible errors i…
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning
Xiajun Jiang, Zhiyuan Li, Ryan Missel +6
Clinical adoption of personalized virtual heart simulations faces challenges in model personalization and expensive computation. While an ideal solution is an efficient neural surr…
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
Krithika Iyer, Alan Morris, Brian Zenger +4
Statistical shape modeling (SSM) is a valuable and powerful tool to generate a detailed representation of complex anatomy that enables quantitative analysis and the comparison of s…
Reducing Line-of-block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods
Steffen Schuler, Matthias Schaufelberger, Laura R. Bear +9
Objective: To investigate cardiac activation maps estimated using electrocardiographic imaging and to find methods reducing line-of-block (LoB) artifacts, while preserving real LoB…