Unit Medical Informatics, RISC Software GmbH's repositories
braintumor-ddpm
Using learned visual representations from diffusion models for brain tumor segmentation.
pinn-blood-flow
Blood Flow Modeling with Physics-Informed Neural Networks
catabra
CaTabRa is a Python package for analyzing tabular data in a largely automated way. This includes generating descriptive statistics, creating out-of-distribution detectors, training prediction models for classification and regression tasks, and evaluating/explaining/applying these models on unseen data.
cerebral-artery-annotation
cerebral-artery-annotation
tms-coil-optimization
Multi-Task Deep Learning for Optimalizing Coil Placement in Transcranial Magnetic Stimulation
totalsegmentator2D
TotalSegmentator 2D: A Tool for Rapid Anatomical Structure Analysis
catabra-pandas
CaTabRa-pandas is a Python library with a couple of useful functions for efficiently working with pandas DataFrames.
dl-cv-workshop
Repository accompanying the workshop "Introduction to Deep Learning: Hands-on Workshop in Computer Vision"
slab-synthesis
code to synthesize and evaluate slab data from the Medical Segmentation Decathlon dataset
nnUNet-multilabel
nnUNet-multilabel