Alternatives and similar repositories for ANTsRNet

Users that are interested in ANTsRNet are comparing it to the libraries listed below

• ANTsX / ANTsR
  R interface to the ANTs biomedical image processing library
  ☆138Updated this week
• uncbiag / PStrip
  PCA Model for Brain Extraction
  ☆17Updated 6 years ago
• ntustison / ANTsRNetExamples
  That’s what I do: I drink and I know things.
  ☆13Updated 6 years ago
• joelcarlson / radiomics
  A toolkit for the calculation of radiomics features in R.
  ☆21Updated 7 years ago
• BMIRDS / 3dMRISegmentation
  Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural networ…
  ☆33Updated 5 years ago
• QTIM-Lab / DeepNeuro
  A deep learning python package for neuroimaging data. Made by:
  ☆129Updated 5 years ago
• neuronets / nobrainer
  A framework for developing neural network models for 3D image processing.
  ☆167Updated last week
• AIM-Harvard / SlicerRadiomics
  A Slicer extension to provide a GUI around pyradiomics
  ☆115Updated 3 weeks ago
• BBillot / hypothalamus_seg
  a tool to segment the hypothalamus and associated subunits on T1-weighted MRI scans
  ☆26Updated 2 years ago
• Deep-MI / FatSegNet
  Deep CNN for Abdominal Adipose Tissue Segmentation on Dixon MRI
  ☆24Updated 3 years ago
• 88vikram / pyebm
  pyebm - A toolbox for Event Based Models
  ☆27Updated 3 years ago
• robb-brown / DeepDiscovery
  Deep Learning tools for medical image and biomarker analysis
  ☆19Updated 2 years ago
• stnava / ANTsTutorial
  Guide to tutorial materials for ANTs/R
  ☆47Updated 7 years ago
• raamana / mrivis
  medical image visualization library and development toolkit
  ☆23Updated 2 years ago
• ucl-pond / pySuStaIn
  Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
  ☆187Updated last month
• mathesong / kinfitr
  kinfitr: PET Kinetic Modelling Using R
  ☆36Updated 2 weeks ago
• sergivalverde / MRI_intensity_normalization
  Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000
  ☆60Updated 3 years ago
• UK-Digital-Heart-Project / 4Dsurvival
  Deep learning cardiac motion analysis for survival prediction
  ☆84Updated 2 years ago
• nipy / nilabels
  Tools to automate simple manipulations and measurements of medical images and segmentations in nifti format.
  ☆22Updated 6 months ago
• raamana / graynet
  Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
  ☆39Updated last year
• ofgulban / segmentator
  3D MRI data exploration and segmentation tool.
  ☆76Updated 2 years ago
• Jfortin1 / EveTemplate
  JHU-MNI-ss (Eve) Template
  ☆14Updated 5 years ago
• nmpowell / mousemorph
  Tools for MRI mouse brain morphometry
  ☆31Updated 8 years ago
• easylearn-fmri / easylearn_dev
  Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on …
  ☆38Updated 2 years ago
• Jfortin1 / RAVEL
  Intensity normalization of structural MRIs using RAVEL
  ☆32Updated 2 years ago
• neurabenn / T1ify
  Applying style transfer to convert multi-modal MRI images to have a T1 like contrast.
  ☆26Updated 5 years ago
• jeffduda / NeuroBattery
  Using ANTs to process multiple MR image types for a single subject
  ☆26Updated 8 years ago
• CCI-Bonn / HD-BET
  Automated deep-learning based brain extraction applicable to a broad range of MRI sequence types and with robust performance even in the …
  ☆37Updated 4 years ago
• CCI-Bonn / HD-GLIO
  Automated deep-learning based brain tumor segmentation on MRI
  ☆35Updated 3 years ago
• tauhidstanford / Feature-augmented-embedding-machine
  [Nature Biomedical Engineering, 2020] A broadly applicable algorithm for dimensionality reduction to reveal underlying trends in a range …
  ☆17Updated 3 years ago