387 citations · 509 across the 50 of their papers we have counts for
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Data-driven Uncertainty Quantification in Computational Human Head Models
Kshitiz Upadhyay, Dimitris G. Giovanis, Ahmed Alshareef +6
Computational models of the human head are promising tools for estimating the impact-induced response of brain, and thus play an important role in the prediction of traumatic brain…
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
Shuo Han, Samuel Remedios, Aaron Carass +2
To super-resolve the through-plane direction of a multi-slice 2D magnetic resonance (MR) image, its slice selection profile can be used as the degeneration model from high resoluti…
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
Lianrui Zuo, Blake E. Dewey, Aaron Carass +4
Accuracy and consistency are two key factors in computer-assisted magnetic resonance (MR) image analysis. However, contrast variation from site to site caused by lack of standardiz…
A Structural Causal Model for MR Images of Multiple Sclerosis
Jacob C. Reinhold, Aaron Carass, Jerry L. Prince
Precision medicine involves answering counterfactual questions such as "Would this patient respond better to treatment A or treatment B?" These types of questions are causal in nat…
Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
Xiaofeng Liu, Fangxu Xing, Jerry L. Prince +4
Tagged magnetic resonance imaging (MRI) is a widely used imaging technique for measuring tissue deformation in moving organs. Due to tagged MRI's intrinsic low anatomical resolutio…