ImagingDataCommons / pyplastimatchLinks
Python wrapper for Plastimatch.
☆18Updated 4 months ago
Alternatives and similar repositories for pyplastimatch
Users that are interested in pyplastimatch are comparing it to the libraries listed below
Sorting:
- Stores the MHub models dockerfiles and scripts.☆10Updated 3 months ago
- Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes☆42Updated 3 weeks ago
- Slicer3D extension for rating using Likert-type score Deep-learning generated segmentations, with segment editor functionality. Created t…☆26Updated last month
- Transparent and reproducible medical image processing pipelines in Python.☆50Updated last week
- Baseline methods, training scripts, and pretrained models for LUMIR challenge at Learn2Reg 2024☆28Updated last month
- ☆14Updated 5 months ago
- ☆77Updated last month
- Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix☆51Updated 4 months ago
- A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration☆50Updated 2 weeks ago
- Skeleton segmentation in CT images☆24Updated 5 months ago
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆29Updated last year
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆97Updated 7 months ago
- ☆42Updated 2 years ago
- Website for NA-MIC Project Weeks☆90Updated 3 weeks ago
- DICOM RT-Struct to mask☆101Updated last year
- 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…☆45Updated last week
- Precision medicine toolbox☆70Updated last year
- Computed tomography to body composition (Comp2Comp).☆91Updated last month
- ☆133Updated 3 months ago
- A 3D Slicer extension for efficient segmentation with nnInteractive.☆88Updated last month
- highest ranked algorithm of Learn2Reg requires little to no training and runs within seconds☆65Updated 5 months ago
- Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…☆81Updated 10 months ago
- MRISegmentator☆39Updated 2 months ago
- uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)☆156Updated 2 months ago
- Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterat…☆69Updated this week
- Morphological organ segmentation for CT scans☆21Updated 4 years ago
- A library for performing image registration using deep learning, regularized by inverse consistency☆52Updated last week
- UKBB MRI semantic segmentation for Abdominal Dixon and other modalities☆14Updated last year
- Convert the TotalSegmentator dataset into the nnUNet format☆14Updated 2 years ago
- new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks☆112Updated last year