Bart ter Haar Romeny
Keynote speakers
- Kenji Doya
- Alon Halevy
- Astrid Prinz
- Andrew Schwartz
- Shankar Subramaniam
- Arthur Toga
Workshop speakers
- Bart ter Haar Romeny
- Uri Eden
- Klaus Linkenkaer-Hansen
- Tim Clark
- Alan Ruttenberg
- Jeffrey Grethe
- Arnd Roth
- Wulfram Gerstner
- Peter Hunter
- Markus Diesmann
- Andrey Semin
- Pietro Liò
- Albert Cardona
- Giorgio Ascoli
- Rolf Kötter
Workshop 1, Advances in the automatic analysis of multi-dimensional data
Bart ter Haar Romeny
Title: Biomimicking the Brain for Biomedical Image Analysis
Eindhoven University of Technology, Eindhoven, Netherlands
Abstract: The production of images in medical applications and life sciences research is overwhelming. Mathematical paradigms for quantitative image analysis can be inspired by apparent models of early stages of visual perception. We discuss models of cortical neurons as multi-scale derivative operators for shape analysis, segmentation and retrieval, and adaptive feedback loops to the LGN for edge preserving smoothing. Voltage sensitive dye measurements of cortical columns inspire to multi-orientation contextual filters. The resulting algorithms lead to robust feature extraction, enhancement of dim lines and tensor valued images, retrieval of sub-scenes, and the extraction of dense motion vector fields. Many illustrative examples will be presented.
Bio sketch: Bart M. ter Haar Romeny is full professor of Biomedical Image Analysis (BMIA) at the Department of Biomedical Engineering at the Eindhoven University of Technology. Before, he was associate professor at the Image Sciences Institute of Utrecht University (1989-2001). He received a M.Sc. in Applied Physics from Delft University of Technology in 1978. From 1978-1979 he was Research and Development officer in the Royal Dutch Navy (honourably discharged with the rank of lieutenant). He acquired his Ph.D. from Utrecht University in 1983. He then became the principal physicist of the Utrecht University Hospital Radiology Department and (1986-1989) clinical project leader of the Dutch PACS project.
His interests are medical image analysis, its foundations and clinical applications. In order to understand image structure and analysis, a close look is taken to the human visual system. His interests are in particular the mathematical modelling of front-end vision, linear and non-linear scale-space theory, medical computer vision applications, computer-aided diagnosis, molecular imaging, differential geometry and visual perception. He authored several papers, book chapters on these issues, authored an interactive tutorial book on perceptually inspired multi-scale image analysis, edited a book on non-linear diffusion theory in Computer Vision and is involved in (resp. initiated) a number of international collaborations on these subjects.