Alternatives and similar repositories for ML4MI_BootCamp

Users that are interested in ML4MI_BootCamp are comparing it to the libraries listed below

• mvallieres / radiomics
  MATLAB programming tools for radiomics analysis
  ☆152Updated 6 years ago
• PamixSun / DeLongUI
  ☆21Updated 2 years ago
• sergivalverde / MRI_intensity_normalization
  Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000
  ☆61Updated 3 years ago
• peterchang77 / dl_tutorial
  ☆23Updated 6 years ago
• ai-med / quickNAT_pytorch
  PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using…
  ☆104Updated 5 years ago
• davidssmith / DCEMRI.jl
  World's fastest DCE MRI analysis toolkit
  ☆39Updated 4 years ago
• jeffduda / NeuroBattery
  Using ANTs to process multiple MR image types for a single subject
  ☆26Updated 8 years ago
• VUIIS / dax
  Distributed Automation for XNAT
  ☆28Updated last week
• ANTsX / ANTsRNet
  Medical image analysis framework merging ANTsR and deep learning
  ☆67Updated 6 months ago
• Deep-MI / FatSegNet
  Deep CNN for Abdominal Adipose Tissue Segmentation on Dixon MRI
  ☆24Updated 3 years ago
• pyushkevich / greedy
  Very fast greedy diffeomorphic registration code
  ☆83Updated last month
• AIM-Harvard / SlicerRadiomics
  A Slicer extension to provide a GUI around pyradiomics
  ☆116Updated 3 months ago
• GUR9000 / Deep_MRI_brain_extraction
  3D convolutional neural network for MRI brain extraction
  ☆125Updated 4 years ago
• noxtoby / TADPOLE
  Helper scripts for TADPOLE Challenge 2017: http://tadpole.grand-challenge.org
  ☆51Updated 4 years ago
• balbasty / nitorch
  Neuroimaging in PyTorch
  ☆100Updated last week
• UK-Digital-Heart-Project / 4Dsurvival
  Deep learning cardiac motion analysis for survival prediction
  ☆84Updated 3 years ago
• neuronets / nobrainer
  A framework for developing neural network models for 3D image processing.
  ☆167Updated 2 weeks ago
• QTIM-Lab / DeepNeuro
  A deep learning python package for neuroimaging data. Made by:
  ☆129Updated 5 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 …
  ☆39Updated 4 years ago
• moloney / dcmstack
  DICOM to Nifti conversion with meta data preservation
  ☆77Updated last year
• cMadan / openMorph
  Curated list of open-access databases with human structural MRI data
  ☆129Updated 6 years ago
• adbrebs / brain_segmentation
  Segment 3D MRIs of the brain into anatomical regions
  ☆36Updated 11 years ago
• pieper / dicomsort
  A project to provide custom sorting and renaming of dicom files
  ☆84Updated 8 months ago
• douyang / EchoNetDynamic
  EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
  ☆33Updated 5 years ago
• nmpowell / mousemorph
  Tools for MRI mouse brain morphometry
  ☆32Updated 9 years ago
• joelcarlson / radiomics
  A toolkit for the calculation of radiomics features in R.
  ☆21Updated 7 years ago
• BBillot / lab2im
  Library for generating images by sampling a GMM conditioned on label maps
  ☆27Updated last year
• ad12 / DOSMA
  An AI-powered open-source medical image analysis toolbox
  ☆73Updated last year
• ANTsX / ANTsPyNet
  Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)
  ☆247Updated this week
• InsightSoftwareConsortium / SimpleITK
  SimpleITK: a simplified layer build on top of the Insight Toolkit (ITK), intended to facilitate its use in rapid prototyping, education a…
  ☆21Updated this week