MRI Processing Libraries

Third-Party MRI Processing Libraries

Projects by Topic:

Super Resolution:

• UniRes: https://github.com/brudfors/UniRes
• DLTK: https://github.com/DLTK/DLTK/tree/master/examples/applications/IXI_HH_superresolution
• ClinicalSuperRes: https://github.com/bryanlimy/clinical-super-mri

Accererated MR:

• MONAI: https://github.com/Project-MONAI/tutorials/tree/main/reconstruction/MRI_reconstruction/unet_demo
• MONAI: https://github.com/Project-MONAI/tutorials/tree/main/reconstruction/MRI_reconstruction/varnet_demo
• DIRECT: Deep Image REConstruction Toolkit: https://github.com/NKI-AI/direct

Knee Segmentation:

• Knee menisci segmentation: https://github.com/AlexanderTack/Menisci-Segmentation
• DOSMA: https://github.com/ad12/DOSMA
• iSegFormer: https://github.com/qinliuliuqin/isegformer

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General List of Projets:

• NiftyNet: https://github.com/NifTK/NiftyNet

• ProjectMonai: https://github.com/Project-MONAI/MONAI/

• DLTK: https://github.com/DLTK/DLTK

• DeepMedic: https://github.com/deepmedic/deepmedic

• https://github.com/brudfors/UniRes

• https://github.com/BBillot/SynthSeg

• https://github.com/NKI-AI/direct

• https://github.com/AlexanderTack/Menisci-Segmentation (https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6748)

• https://github.com/kondratevakate/mri-deep-learning-tools

• https://github.com/bryanlimy/clinical-super-mri

• https://mmcv.readthedocs.io/en/latest/get_started/introduction.html

• https://github.com/mikgroup/sigpy

• https://github.com/CEA-COSMIC/pysap-mri

• https://github.com/peng-cao/mripy