Transformers for Vision Models

BVM 2021, Advanced Deep Learning Tutorial

Recent Trends in AI from a Medical Imaging Researcher's Perspective

Deutsche Gesellschaft für medizinische Physik Jahrestagung 2020

Deep Probabilistic Modeling of Glioma Growth (Video)

BVM 2020 & MICCAI 2019

Deep Learning for Medical Imaging

EMBL Deep Learning Course

DIY Research to Routine: Translation of Deep Learning into Radiological Practice using only Open Source Software

BioRN Conference 2019

Radiological Data Science: Unlocking the Potential of Medical Imaging

Deutsche Gesellschaft für medizinische Physik Jahrestagung 2019 & AK1 Meeting

NeurIPS 2018 Summary

Medium Article

Deep Generative Models (Video)

Heidelberg AI & BVM 2018, Advanced Deep Learning Tutorial

Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing

BVM 2018

Python Style Guide

E130 / E230 Community Day, German Cancer Research Center

Natural & Self-Supervision

E130 / E132 Retreat, German Cancer Research Center

Big Data in Medical Imaging: Translating Deep Learning into Clinical Routine

E132 Retreat, German Cancer Research Center

Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI

Workshop Bildverarbeitung für die Medizin

Effective User Guidance in Online Interactive Semantic Segmentation

SPIE Medical Imaging

Radiomics: From Unstructured Data to Medically Relevant Information

National Center for Tumor Diseases NCT Retreat

Efficient and Reliable Segmentation of Large Image Data

Interdisciplinary Center for Neurosciences Seminar

A Software Application for Interactive Medical Image Segmentation with Active User Guidance

Interactive Medical Image Computing Workshop, MICCAI

ilastik MRI Volumetry Workflow

ilastik Workshop, Heidelberg Collaboratory for Image Processing

Active Learning for Glioblastoma Segmentation

Diffusion Imaging Seminar, German Cancer Research Center

Interactive Brain Tumor Segmentation

Introductory PhD Presentation