wachinger

scikit-survival

Survival analysis built on top of scikit-learn

DeepNAT

DeepNAT

Caffe implementation of DeepNAT for brain segmentation

ReLayNet

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

quickNAT_pytorch

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

squeeze_and_excitation

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

relaynet_pytorch

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

QuickNATv2

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