Name: Christian F. Baumgartner
Type: User
Company: University of Tübingen
Bio: Group Leader of the ML in Medical Image Analysis Group @ University of Tübingen.
Twitter: c_f_baumgartner
Location: Tübingen, Germany
Blog: baumgach.github.io
Christian F. Baumgartner's Projects
Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge
Implementation of the artistic style transfer paper by Gatys et al. using the Lasagne framework.
Simple class for preprocessing minibatches in a separate background thread
Basil's internship work on scribble supervision
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A ResNet for classifying Chaksu into glaucoma suspect and not glaucoma suspect
Top 1 solution of Chexpert
Efficient implementation of generalised energy distance for samples of 2D (numpy) arrays
Small project for sorting images in a folder into a number of label categories which can be specified by the user.
This is an example for how to prepare a valid submission for the MICCAI L2L Challenge
A number of scripts to access papers and reviews through the Openreview Python API
Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
Code for the paper "Reinforced Active Learning for Image Segmentation"
Basil's MATLAB GUI to read in niifti/HDF5 files and create weak supervision annotations (scribbles)
Yigit's DLMIA scribble segmentation code
Topo for the Boulder in Shoreditch Park
Model descriptions and weights for all the variations of the SonoNet for real-time fetal standard scan plane detection.
Utility for working with Uni Tübingen Slurm Cluster
Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'
Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
C++ tools for converting VTK models to masks
C++ tools for performing various kinds operations on vtk files of brain fibers extracted using Tracography