150 citations
- Universitätsmedizin GöttingenDE33 papers
- University of GöttingenDE26 papers
- Graz University of TechnologyAT12 papers
- BioTechMed-GrazAT7 papers
- Nanoscale Microscopy and Molecular Physiology of the Brain Cluster of Excellence 171 — DFG Research Center 103DE7 papers
- Heidelberg UniversityDE6 papers
- University Hospital HeidelbergDE6 papers
- Charité - Universitätsmedizin BerlinDE5 papers
- Max Planck Institute for Dynamics and Self-OrganizationDE5 papers
- Ludwig-Maximilians-Universität MünchenDE4 papers
- Max Planck Institute for Biophysical ChemistryDE4 papers
- Advanced Imaging Research (United States)US3 papers
8 papers · 1 filter
Deformable Image Registration for Self-supervised Cardiac Phase Detection in Multi-View Multi-Disease Cardiac Magnetic Resonance Images
Sven Koehler, Sarah Kaye Mueller, Jonathan Kiekenap +6
Cardiovascular magnetic resonance (CMR) is the gold standard for assessing cardiac function, but individual cardiac cycles complicate automatic temporal comparison or sub-phase ana…
Carotid Artery Plaque Analysis in 3D Based on Distance Encoding in Mesh Representations
Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter +3
Purpose: Enabling a comprehensive and robust assessment of carotid artery plaques in 3D through extraction and visualization of quantitative plaque parameters. These parameters hav…
Learning Wall Segmentation in 3D Vessel Trees using Sparse Annotations
Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter +3
We propose a novel approach that uses sparse annotations from clinical studies to train a 3D segmentation of the carotid artery wall. We use a centerline annotation to sample perpe…
Deep learning based detection of collateral circulation in coronary angiographies
Cosmin-Andrei Hatfaludi, Daniel Bunescu, Costin Florian Ciusdel +9
Coronary artery disease (CAD) is the dominant cause of death and hospitalization across the globe. Atherosclerosis, an inflammatory condition that gradually narrows arteries and ha…
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik +5
Uncertainty estimation, which provides a means of building explainable neural networks for medical imaging applications, have mostly been studied for single deep learning models th…
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
Lalith Sharan, Halvar Kelm, Gabriele Romano +3
Multi-point tracking is a challenging task that involves detecting points in the scene and tracking them across a sequence of frames. Computing detection-based measures like the F-…