Ben Glocker

TL;DR: A novel scheme for deformable tracking of curvilinear structures in image sequences is presented based on B-spline snakes defined by a set of control points whose optimal configuration is determined through efficient discrete optimization.

TL;DR: A novel solution to the motion segmentations of TSDF volumes by solving sparse multi-body motion segmentation and computing likelihoods for each motion label in the RGB-D image space, and, a novel pairwise term based on gradients of the TSDF volume.

TL;DR: The wide applicability of the adaptive parametrization scheme for dynamic mesh refinement in the application of parametric image registration is illustrated through its application on medical data and for optical flow estimation.

TL;DR: A new automatic method to predict the registration error in a quantitative manner, and is applied to chest CT scans, is proposed, which enables important applications such as automatic quality control in large-scale image analysis.

TL;DR: A recently developed fully-automated quality control pipeline for cardiac MR (CMR) images to the first 19,265 short-axis cine stacks from the UKBB, presenting the results for the three estimated quality metrics (heart coverage, inter-slice motion and image contrast in the cardiac region) as well as their potential associations with factors including acquisition details and subject-related phenotypes.