4 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 2 cited
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…
cs.LG2022★ 4 cited
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…
eess.IV2022
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…