CCI-Bonn / HD-GLIO-XNATLinks
Automated processing tool for MRI in neuro-oncology (brain tumor segmentation, volumetric tumor response assessment) provided as Container Service Plugin for XNAT, enabling integration in existing radiological infrastructures.
☆11Updated 3 years ago
Alternatives and similar repositories for HD-GLIO-XNAT
Users that are interested in HD-GLIO-XNAT are comparing it to the libraries listed below
Sorting:
- The easiest tool for experimenting with radiomics features.☆41Updated last year
- A deep learning framework for automated analysis of body composition from abdominal CT☆19Updated last year
- Standardized Environment for Radiomics Analysis☆26Updated 6 years ago
- RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (C…☆109Updated 5 months ago
- BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Comp…☆58Updated 2 months ago
- Medical Image Radiomics Processor☆76Updated this week
- Workflow for Optimal Radiomics Classification☆81Updated 3 weeks ago
- Brain extraction in presence of abnormalities, using single and multiple MRI modalities☆36Updated 10 months ago
- Transparent and reproducible medical image processing pipelines in Python.☆56Updated 2 weeks ago
- Precision medicine toolbox☆70Updated last year
- Automated processing of MRI in neuro-oncology (combining HD-BET, image co-registration, and HD-GLIO in one container)☆32Updated 3 years ago
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆98Updated 4 months ago
- Codes used for the paper "Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer"☆38Updated 5 months ago
- Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.☆28Updated 3 weeks ago
- A project to provide custom sorting and renaming of dicom files☆84Updated 8 months ago
- Predicting genetics and providing segmentation of glioma☆20Updated last year
- Tool to multiplex different tracer PET data from the same patient.☆21Updated last month
- Visualization for radiomics feature generated by pyradiomics☆53Updated last year
- ☆15Updated 3 years ago
- A Slicer extension to provide a GUI around pyradiomics☆116Updated 3 months ago
- Computed tomography to body composition (Comp2Comp).☆105Updated 3 weeks ago
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆32Updated last year
- Fully automatic coronary calcium risk assessment using Deep Learning.☆46Updated 4 years ago
- Hand-crafted radiomics and deep learning-based radiomcis features extraction.☆89Updated 3 years ago
- Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)☆247Updated last week
- A UNet for the analysis of perfusion CT imaging in the setting of acute ischemic stroke.☆17Updated 8 months ago
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆145Updated 7 months ago
- Automatic sorting of brain MRI scans by scan type☆26Updated last year
- Brain Segmentation with MONAI and Dynamic Unet (nn-unet)☆37Updated last month
- RadTract: enhanced tractometry with radiomics-based imaging biomarkers for improved predictive modelling.☆13Updated 5 months ago