wachinger

wachinger's Stars

• sebp/scikit-survival

  Survival analysis built on top of scikit-learn

  Language:Python1.1k23223213

• ai-med/squeeze_and_excitation

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

  Language:Python3138952

• ai-med/quickNAT_pytorch

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

  Language:Python10192135

• ai-med/relaynet_pytorch

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

  Language:Jupyter Notebook8781730

• ai-med/QuickNATv2

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

  Language:MATLAB616916

• ai-med/ReLayNet

  Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)

  Language:Matlab29389

• TJKlein/DeepNAT

  196610

• ai-med/DeepNAT

  Caffe implementation of DeepNAT for brain segmentation

  4211