Miguel Ángel González Ballester

TL;DR: This work presents a technique to segment regions that present homogeneous or similar direction of deformation, in an effort to characterize and quantify results from factor analysis techniques.

TL;DR: In this article, a hypergraph representation of the abdominal arterial system was defined as a family tree model with a probabilistic hypergraph matching framework for automated vessel labeling, and the authors treated the labelling problem as the convex optimization problem and solved it with the maximum a posteriori(MAP) combined the likelihood obtained by geometric labeling with the family tree topology-based knowledge.

TL;DR: In this paper , a cascaded deep learning network is proposed for 3D image registration, which computes small, incremental deformations to the moving image to align it precisely with the fixed image.

TL;DR: A two-stream 3D convolutional neural network that predicts malignancy by jointly analyzing two pulmonary nodule volumes from the same patient taken at different time-points is proposed.

TL;DR: In this article , a perinatal cohort from a tertiary university hospital in Spain of young adults (30-40 years) randomly selected, 80 born SGA (birth weight below 10th centile) and 75 with normal birth weight (controls) was recruited.