Lab for Artificial Intelligence in Medical Imaging

Repositories

• Dataset-Bias

  Forked from Jfortin1/ComBatHarmonization

  Detect and correct bias in neuroimaging
  R 61 2 0 0 Updated Apr 13, 2021

• causal-effects-in-alzheimers-continuum

  Code for the paper "Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum"
  Jupyter Notebook GPL-3.0 0 1 0 0 Updated Apr 13, 2021

• abcd_study
  Python MIT 0 0 0 0 Updated Feb 15, 2021

• nn-common-modules

  Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

  computer-vision deep-learning pytorch medical-imaging convolutional-layers segmentation densenet
  Python MIT 8 22 3 0 Updated Feb 2, 2021

• quickNAT_pytorch

  PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

  machine-learning quality-control ai computer-vision deep-learning pytorch uncertainty
  Python MIT 29 75 7 0 Updated Jan 7, 2021

• point_recalibration
  Python 0 1 0 0 Updated Nov 24, 2020

• geomdl_anatomical_mesh
  0 1 0 0 Updated Oct 7, 2020

• MAS-LR

  Pytorch Implementation of MAS-LR, a Continual Learning approach for importance driven incremental domain learning. https://arxiv.org/abs/2005.00079
  Python MIT 0 0 0 0 Updated Oct 3, 2020

• almgig

  Adversarial Learned Molecular Graph Inference and Generation

  deep-learning chemistry tensorflow generative-adversarial-network graph-convolutional-networks molecule-generation
  Python 0 2 0 0 Updated Jun 25, 2020

• squeeze_and_excitation

  PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

  deep-learning pytorch segmentation convolutional-networks fully-convolutional-networks squeeze-and-excitation
  Python MIT 41 199 4 0 Updated Jun 23, 2020

• QuickNATv2

  Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

  deep-learning neuroscience neuroanatomy-toolbox brain-segmentation
  MATLAB MIT 13 54 4 0 Updated Apr 9, 2019

• DeepNAT

  Caffe implementation of DeepNAT for brain segmentation
  1 4 1 0 Updated Feb 15, 2019

• relaynet_pytorch

  Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

  deep-learning segmentation retinal-images oct
  Jupyter Notebook MIT 29 65 5 0 Updated Jul 10, 2018

• ReLayNet

  Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)
  MATLAB MIT 9 24 4 0 Updated Mar 9, 2018