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University Augsburg
- Germany - Augsburg
- www.linkedin.com/in/muellerdo
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Starred repositories
A library that integrates different MIL methods into a unified framework
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)
AMI-Br: A Dataset of Typical and Atypical Mitotic Figures on Human Breast Cancer
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical …
Towards a Portable Research PACS for Interdisciplinary Collaboration
A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.
Open source tools for computational pathology - Nature BME
Powerful, open-source AI tools for digital pathology.
A game theoretic approach to explain the output of any machine learning model.
A Python toolkit for pathology image analysis algorithms.
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Library for Digital Pathology Image Processing
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios wit…
CNN based mortality prediction after Subarachnoid Hemorrhage (SAH)
A deep-learning pipeline for segmentation of ambiguous microscopic images.