2 results match your criteria: "University Hospital Gasthuisberg. Cardiovascular Sciences and Electrical Engineering Departments[Affiliation]"
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology.
Nat Mach Intell
March 2024
NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK.
Recent genome-wide association studies have successfully identified associations between genetic variants and simple cardiac morphological parameters derived from cardiac magnetic resonance images. However, the emergence of large databases, including genetic data linked to cardiac magnetic resonance facilitates the investigation of more nuanced patterns of cardiac shape variability than those studied so far. Here we propose a framework for gene discovery coined unsupervised phenotype ensembles.
View Article and Find Full Text PDFGroupwise registration with global-local graph shrinkage in atlas construction.
Med Image Anal
August 2020
Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing and School of Medicine, University of Leeds, Leeds, UK; Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, UK; Medical Imaging Research Center (MIRC), University Hospital Gasthuisberg. Cardiovascular Sciences and Electrical Engineering Departments, KU Leuven, Leuven, Belgium.
Graph-based groupwise registration methods are widely used in atlas construction. Given a group of images, a graph is built whose nodes represent the images, and whose edges represent a geodesic path between two nodes. The distribution of images on an image manifold is explored through edge traversal in a graph.
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