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cytoark

histocartography

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

msd_2018

Code for the Medical Segmentation Decathlon Challenge at MICCAI 2018

ncis

scgnn

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

testing-system

trixi

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

upd_study

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

vae-anomaly-experiments

xgw-gat

An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment