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Medical University of Vienna, @QIMP-Team
- Vienna
Stars
Medical cOmputational Suite for Advanced Intelligent eXtraction of Healthcare data using local LLMs
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
Quietly ambitious about the hard things. Rethinking how medical imaging data is structured, connected, and turned into clinical knowledge. Based in the Department of Radiology at LMU Klinikum, Munich.
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …
[Nature Communications] Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration
FERRET - Framework for Enhance: Organized Workflow Library
Tool to multiplex different tracer PET data from the same patient.
A Python package for easy multiprocessing, but faster than multiprocessing
LalithShiyam / MOOSE
Forked from ENHANCE-PET/MOOSEMOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …
Welcome to Nifti2Dicom! Born from countless hours of yelling at screens, this software aims to swap NIfTI for DICOM without inviting any more hair-pulling or infernal uprisings. Because, honestly, …
FALCON is a Python-based software application designed to facilitate PET motion correction, both for head and total-body scans. Our program is built around the fast 'greedy' registration toolkit, …
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dime…
Tool for robust segmentation of >100 important anatomical structures in CT and MR images