All software

Alpaca

Alpaca (Automated Lightweight Provenance Capture) captures the provenance during the execution of Python scripts that process data and stores the information using a data model based on the the W3C PROV standard.

BrainPrint

Our BrainPrint tools provide shape descriptors of neuroanatomical structures and require a FreeSurfer or FastSurfer segmentation as a pre-processing step. BrainPrint is based on “ShapeDNA” a spectral shape descriptor.

CellDetection

An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.

DataLad

DataLad is a tool for the joint management of code, data, and their relationship, built on top of the version control systems Git & git-annex. It adapts principles of open-source software development & distribution to address challenges of data management, data sharing, & digital provenance capture.

ESM-Tools

ESM-Tools is a toolbox to assist you in running climate and Earth System Model simulations.

ESMValCore

FastSurfer

FastSurfer is a fast and accurate deep-learning pipeline for the analysis of human brain MRI. FastSurfer provides a fully compatible FreeSurfer alternative for volumetric and surface-based thickness analysis, also supporting sub-mm resolutions, and sub-segmentation of neuroanatomical structures.

FatSegNet

A fully automated deep learning pipeline for adipose tissue (visceral and subcutaneous) segmentation on abdominal Dixon MRI.

FSQC

This package provides quality assurance / quality control scripts for FastSurfer- or FreeSurfer-processed structural MRI data.

HIPSTA

The HIPpocampal Shape and Thickness Analysis Toolbox (HIPSTA) present a geometry-based method for the analysis of local hippocampal thickness and curvature and constructs an intrinsic coordinate system (unrolling/flattening) for statistical analysis across multiple participants.

InteractiveVis

The InteractiveVis software framework provides a blueprint for evaluating 3D datasets with convolutional neural networks (CNNs), and for deriving and visualizing CNN relevance maps. This tool was developed and tested for disease detection in MRI scans. We plan to extend it to other domains.

JPlag

JPlag is a software plagiarism detector that is used in universities and schools around the world.