8 citations · 8 across the 4 of their papers we have counts for
4 papers
Enhancing Vascular Analysis with Distance Visualizations: An Overview and Implementation
Jan Hombeck, Monique Meuschke, Simon Lieb +8
In recent years, the use of expressive surface visualizations in the representation of vascular structures has gained significant attention. These visualizations provide a comprehe…
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Anneke Meyer, Suhita Ghosh, Daniel Schindele +4
Various convolutional neural network (CNN) based concepts have been introduced for the prostate's automatic segmentation and its coarse subdivision into transition zone (TZ) and pe…
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence
Oleksii Bashkanov, Anneke Meyer, Daniel Schindele +4
Recent studies demonstrated the eligibility of convolutional neural networks (CNNs) for solving the image registration problem. CNNs enable faster transformation estimation and gre…
4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings
Gino Gulamhussene, Fabian Joeres, Marko Rak +2
Purpose: We aim to develop a robust 4D MRI method for large FOVs enabling the extraction of irregular respiratory motion that is readily usable with all MRI machines and thus appli…