-
TU Darmstadt
- Darmstadt, Germany
- https://henrykrumb.de
- @hekr@fediscience.org
Highlights
- Pro
Stars
Machine Learning code for the Galar Capsule Endoscopy dataset
Generate marker fixtures for NDI Polaris trackers.
icons for use in medical research software projects
A docker example repository to support participants in creating submissions for the AdaptOR2022 MICCAI Challenge https://www.synapse.org/AdaptOR_Challenge_2022_MICCAI
Code for automated analyses of Slicer scenes created under the use of cryotrack or traditional CT-based planning
Training code and pre-trained models for Neural Cellular Automata on different datasets and tasks
A 3D Slicer extension for measuring the volume of breast implants
From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels
Project for the lecture "Deep Learning im medical imaging"