loneblues

loneblues's Stars

• neuroneural/brainchop

  Brainchop: In-browser 3D MRI rendering and segmentation

  Language:JavaScript35771446

• ENHANCE-PET/MOOSE

  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 and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

  Language:Python19677028

• npnl/ATLAS

  A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.

  7921720

• volBrain/AssemblyNet

  AssemblyNet: 3D Whole Brain MRI segmentation pipeline

  4851211

• pBFSLab/FastCSR

  Language:Python29365

• m-qiang/CortexODE

  The official implementation of CortexODE

  Language:Python27138

• SNU-LIST/chi-separation

  Code for magnetic susceptibility source separation

  Language:C23267

• UMEssen/Body-and-Organ-Analysis

  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 images and identifying the different structures within the human body, including bones, muscles, organs, and blood vessels.

  Language:Python227125

• seungjunlee96/emergency-triage-of-brain-computed-tomography-via-anomaly-detection-with-a-deep-generative-model

  Language:Python92102

• USC-LoBeS/style_transfer_harmonization

  Language:Python8138

• m-qiang/dhcp-dl-surface-pipeline

  The dHCP deep learning-based surface pipeline.

  Language:Python5102

• apoorvasafai/NMS-SNc-atlas

  NMS-SNc is a probabilistic atlas of Substantia Nigra pars compacta constructed using a 3T Neuromelanin sensitive MRI sequence (NMS-MRI) which is a T1-weighted high-resolution fast spin-echo sequence. NMS-MRI is highly sensitive to neuromelanin which is a by-product of dopaminergic neurons in SNc and therefore renders it as a hyper intense structure. This probabilistic atlas is constructed using manually delineated SNc ROIs of 27 subjects which were registered to MNI152_1mm template using ANTs software and thresholded at probability of 0.5. The NMS-SNc probabilistic atlas benefits from the dopamine based neuromelanin contrast and facilitates a precise and standardised SNc localization, which is crucial for analysis of SNc related neuro pathological disorders. The detailed methodology and validation of this atlas is mentioned in the paper- 'Microstructural Abnormalities of Substantia Nigra in Parkinson’s disease: A Neuromelanin Sensitive MRI Atlas Based Study'

  23

• maxwellelliott/rapidMRImorphometry

  ForGitHub

  Language:R21

• USC-IGC/Corpus-Callosum-Tool

  Language:Python1401