This paper presents DeepFLASH, a novel network with efficient training and inference for
learning-based medical image registration. In contrast to existing approaches that learn …

This paper presents a novel hierarchical Bayesian model for unbiased atlas building with
subject-specific regularizations of image registration. We develop an atlas construction …

Methods for medical image registration infer geometric transformations that align
pairs/groups of images by maximising an image similarity metric. This problem is ill-posed …

This paper presents an efficient approach to quantifying image registration uncertainty
based on a low-dimensional representation of geometric deformations. In contrast to …

In many applications, for instance when describing dynamics of fluids or gases, hyperbolic
conservation laws arise naturally in the modeling of conserved quantities of a system, like …