News

Patrick pioneered the use of advanced 3D interaction and Virtual Reality in our group, dealing with a wide range of applications in medicine (heart surgery, hand and skull anatomy, liver surgery) and beyond. In particular, his work as key developer in an EU project on radiochemistry is influential. Moreover, he developed a 3D puzzle for reconstructing an essential part of Magdeburg’s cathedral – a system that is still presented in the cathedral. After nine years as PhD and Post-Doc., Patrick now extends his freelancing work that he started years ago. We wish him the best of luck for his future!

We are happy to announce that the following submission of Sarah Mittenentzwei was accepted at EuroVis this year.

S. Mittenentzwei, V. Weiß, S. Schreiber, L. A. Garrison, S. Bruckner, M. Pfister, B. Preim, and M. Meuschke: Do Disease Stories Need a Hero? Effects of Human Protagonists on a Narrative Visualization about Cerebral Small Vessel Disease

 

 

 

 

Monique Meuschke finished her Post-Doctoral Lecture Qualification (Habilitation) with a successful defense of her thesis entitled “Interactive Medical Visualization for Experts and Broad Audiences”. Moniques’ research covers a broad spectrum of visualization techniques for experts, i.e. primarily physicians, and broad audiences. Her focus is on medical applications but she also tackled problems beyond this area such as conflict research.

Monique Meuschke will be distinguished with the research price of the Faculty for Computer Science for her overall scientific achievements, comprising 47 papers since 2014 and including 4 papers as first author for the IEEE TVCG journal.

Anna Kleinau receives the Rudolf-Kruse price, the price for the best student research in 2022 for her major contribution to the paper

“Is there a Tornado in Alex’s Blood Flow? A Case Study for Narrative Medical Visualization” published at this years’ VCBM woirkshop in Vienna (Link: https://diglib.eg.org/handle/10.2312/vcbm20221183)

After only three years, Annika Niemann successfully defended her Phd thesis on “Multimodal Analysis of Intracranial Aneurysm Walls”. Annika made several contributions to the analysis of histology images, to characterize and classify aneurysmal wall tissue, and geometric deep learning tailored to 3D surface models. Her work was part of the DFG funded project “GEPARD – GEfäßwandsimulation und Visualisierung zur Patientenspezifischen Blutflussvorhersage für die intrakranielle AneuRysma-MoDellierung” lead by PD Sylvia Saalfeld and PD Philipp Berg.