A PyTorch Toolbox for Cross-Domain Few-Shot Learning and Meta-Learning

The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides code for working with the MIMeta Dataset as well as simple bas…

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Create targeted adversarial perturbations for MRI-reconstruction algorithms

Topo for the Boulder in Shoreditch Park

Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019

Dirichlet MLE python library

semi-supervised and task driven data augmentation code to improve segmentation performance

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Google Research

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Unsupervised domain adaptation using a Wasserstein GAN for 3D MRI data

C++ tools for performing various kinds operations on vtk files of brain fibers extracted using Tracography

C++ tools for converting VTK models to masks