My GitHub pages

Small app that reads your calendar and sets your Mattermost status to "do not disturb" if you have meetings.

Implementation of different machine learning models using Apple's Metal Performance Shaders Graph API.

An educational repository implementing conditional probabilistic diffusion denoising models for medical imaging.

Drag race of the same problem implemented in different programming languages.

My Emacs configuration for Python hacking.

Python modules for 4D image processing of optical coherence tomographies.

Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".

A small single-server multiple-client app for visualizing GPU utilization in a research lab.

Code for CARS 2019 paper "Retinal OCT disease classification with variational autoencoder regularization".

On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior

A data set containing 3D volumetric OCTs and the corresponding 6D acquisition poses.

Utilities for lecture "Computer- und roboter-assistierte Chirurgie"

Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)

Python scripts for laptime and distance assessment during final challenge in first semester project at LUH.

Helper program to segment laryngeal scenes with a Wacom tablet.

This repository gives example code for NumPy 1.7 C-API.

Creating a deep learning framework in pure NumPy. For educational purposes.

Code for uncertainty estimation in computer-aided diagnosis for BMT 2019 submission.

Code for uncertainty estimation in computer-aided diagnosis for MIDL 2019 submission.

Implementation of the non-parametric census transform as PyTorch layer.