We say goodbye to our colleagues Sylvia Saalfeld and Sebastian Wagner. Sylvia went to the Technical University of Ilmenau to lead the group for Computational Medicine. Sebastian went to work in the industry. We thank Sylvia and Sebastian for the scientific work they contributed to our group and for the great time we had together with them as our colleagues. We wish them all the best for their future!
The book “Visualization, Visual Analytics and Virtual Reality in Medicine” (authored by Bernhard Preim, Renata Raidou, Noeska Smit and Kai Lawon) is ready and scheduled to appear on June 1. Here is a link to the book:
Visualization, Visual Analytics and Virtual Reality in Medicine – 1st Edition (elsevier.com)
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.
Our first paper on narrative medical visualization was accepted at Computers & Graphics. In this paper, we suggest and evaluate a template for the communication of diseases. Moreover, we present a research agenda for narrative medical visualization.
The paper can be found here: https://www.sciencedirect.com/science/article/pii/S009784932200139X?dgcid=author
On the 3rd of June, Sebastian Wagner successfully defended his Ph.D. Thesis on “Virtual Reality for the Assessment of Unilateral Spatial Neglect and the Therapy of Acrophobia”. Afterwards, at the Otto-von-Guericke monument, we were able to celebrate with him and revive the institute’s time-honored traditions.
We have started a new video series to present papers from the rapidly evolving field of Narrative Visualization. You can find it here.
We are happy that our paper GUCCI – Guided Cardiac Cohort Investigation of Blood Flow Data was accepted at TVCG. The paper is about the visual analysis of cohort-based measured blood flow data in the aorta. GUCCI offers visual analytics techniques and novel visualization methods to guide the user through the comparison of predefined cohorts, such as healthy volunteers and patients with a pathologically altered aorta. The combination of overview and glyph-based depictions together with statistical cohort-specific information allows investigating differences and similarities of the time-dependent data. With the help of GUCCI Clinical experts were able to discover cohort-specific characteristics, which supports the derivation of standard values as well as the assessment of pathology-related severity and the need for treatment.
The supplementary video of the paper can be found here: https://www.youtube.com/watch?v=bp__cPzpr9Y
