BVM 2022


Medical Image Computing
Deutsches Krebsforschungszentrum (DKFZ),

Prof. Dr. Klaus H. Maier-Hein
Medical Image Computing (MIC)
Deutsches Krebsforschungszentrum (DKFZ), Heidelberg

Lokale BVM-Organisation
Prof. Dr. Klaus Maier-Hein, Jasmin Metzger, Dr. Peter Neher, Dr. Beatrix Tettmann, Dr. Daniel Walther, Dimitrios Bounias, Dr. Kathrin Brunk, Maximilian Fischer, Philipp Schader, Shuhan Xiao, Silvia Dias Almeida, u.v.m.


"Generative Deep Learning Models for the Automatic Analysis and Synthesis of Medical Image Data Featuring Pathological Structures”
Beste wissenschaftliche Arbeiten
Baumgartner M., Jäger P. F., Isensee F., Maier-Hein K. H.:
"nnDetection: A Self-configuring Method for Medical Object Detection”
Köhler S., Sharan L., Kuhm J., Ghanaat A., Gordejeva J., Simon N.K., Grell N. M., André F., Engelhardt S.:
"Comparison of evaluation metrics for landmark detection in CMR images”


Prof. Dr. Stefanie Speidel, NCT Dresden
The Best of Both Worlds: How Surgeon-Machine Collaboration can benefit the patient

Prof. Rebecca Fahrig, Siemens Healthineers
Improving Access to Care: Building Blocks for Remote Image-guided Interventions

Prof. Dr. Ullrich Köthe, Visual Learning Lab Heidelberg, Universität Heidelberg
Solving inverse problems with machine learning

Programmheft hier erhältlich, sowie das damalige CfP.


We use cookies to improve the usability of the website. By visiting you agree to this.