Katja Bühler completed her studies of mathematics at the University of Karlsruhe in 1996 and received her doctorate in technical sciences (computer science) at the Vienna University of Technology in 2001, where she worked as an assistant professor at the Institute of Computer Graphics and Algorithms from 1998-2002. In 2002 she continued her career as a senior researcher at VRVis and as an external lecturer at the Vienna University of Technology. In 2003 she became head of the Biomedical Image Informatics group at VRVis and since 2010 she coordinates the research area Visualization. Katja Bühler has many years of experience in managing international applied research projects in close cooperation with industry and science. In 2010 she deepened her knowledge in strategic R&D management at INSEAD.
In 2012 Katja Bühler and Rainer Wegenkittl received the Austrian science2business award for the management of a successful long-term research project with AGFA Healthcare. She is chairman, IPC member and reviewer for various international conferences and journals and is an active member of international societies. She is part of the steering committee "GI Fachgruppe Visual Computing in der Medizin" and the EG VCBM. She is a member of the scientific advisory board of the French research infrastructure Tefor.net and CURAC (2012-2014) and acts as reviewer for various international funding organisations, the European Union and for doctoral theses at international level. She was recently nominated for the "Woman in Tech" award 2019, which is awarded by the Austrian Federal Ministry for Digital and Economic Affairs. In 2020 Katja Bühler was awarded the renowned TU Women's Prize.
Katja Bühler's scientific roots lie in reliable calculation and numerics, geometry processing and visualization. Since 2003, she and her team have been dedicated to the development of highly efficient methods to provide access to the information encoded in biomedical images. Her group improves expertise in image processing, machine learning, high-performance computing, data mining, visualization and human-computer interaction to create novel visual computing solutions for medicine and life sciences. The research results of the group have been awarded numerous scientific prizes and led to several patents. The highly successful software resulting from the research results of the group helps radiologists, radiotherapists and surgeons to cope with muti-modal images and diagnostic tasks in their daily clinical routine. The e-Science platform Brain* addresses the urgent need to manage and use image-intensive data collections and accelerates image-based research by neuroscientists.
Katja Bühler taught Medical Visualization at the Vienna University of Technology and at the University of Applied Sciences Vienna from 2001-2012. She regularly gives guest lectures for physicians, radiologists and image scientists at the Medical University of Vienna, the Danube University Krems and the Universidad de las Sciencias Informatics, Havana, Cuba. She also supervised numerous diploma and doctoral students in cooperation with national and international universities such as the Vienna University of Technology, the University of Koblenz and the Zurich University of the Arts.
Lectures & Panel Discussions
Katja Bühler is a sought-after expert in the field of imaging, artificial intelligence and data science for neuroscience. She regularly participates in panel discussions and events on these topics, she was a guest speaker at a panel discussion at the 1st Conference on Artificial Intelligence in Austria in 2018 and at the Vienna Innovation Party on Deep Learning & AI also in 2018. She regularly gives interviews on these topics, most recently her research work on AI was featured in the newspaper Der Standard as well as in the magazine Report+. Katja Bühler was keynote speaker at the AICI Forum Villach (Artificial Intelligence in Clinical Imaging) in 2019 as well as a panel speaker at the Brainstorms Festival in 2019.
On March 3, 2020, Katja Bühler, head of our Biomedical Image Informatics Group, was awarded with the renowned TU Women's Prize.
Katja Bühler is nominated for the Women in Tech Award 2019 of the Federal Ministry for Digital and Economic Affairs and the Futurezone!
The paper "Visual and Quantitative Analysis of Higher Order Arborization Overlaps for Neural Circuit Research" was awarded.
The web-based tool "neuroMAP" of VRVis and IMP received the Best Paper Award of the IEEE BioVis 2013.
Visual computing for computer-aided diagnostics and operation planning.
A. Neubauer, M. T. Forster, L. Mroz, R. Wegenkittl, K. Bühler, STEPS - An Application for Simulation of Transsphenoidal Endonasal Pituitary Surgery, in Proceedings of IEEE Visualization 2004, pp 513-520. 2004, IEEE Vis 2004 Best Applications Paper
Sebastian Zambal, Jiří Hladůvka, Armin Kanitsar, Katja Bühler, Shape and Appearance Models for Automatic Coronary Artery Tracking, WON MICCAI 2008 Contest: 3D Segmentation in Clinic: A Grand Challange.
J. Beyer, M. Hadwiger, S. Wolfsberger), K. Bühler, High-Quality Multimodal Volume Rendering for Preoperative Planning of Neurosurgical Interventions, in IEEE Transactions on Visualization and Computer Graphics 13(6) pp.1696-1703 / Proceedings of IEEE Vis 2007, Vis 2007 Best Application Paper
C. Langer, M. Hadwiger, K. Bühler, Interaktive diffusionsbasierte Segmentierung von Volumendaten auf Grafikhardware, Bildverarbeitung für die Medizin 2005; GI Informatik Aktuell; Springer Verlag. pp 168-17, BVM 2005 Best Poster
S. Wolfsberger, M. Donat, A. Neubauer, K. Bühler, T. Czech, E. Knosp, Virtuelle Endoskopie in der transsphenoidalen Hypophysenchirurgie, CURAC 2005 Best Poster
K. Bühler, Implicit Linear Interval Estimations, in Proceedings of the Spring Conference in Computer Graphics (SCCG'02), ACM Press. pp.123-132, Springer Best Paper