Loading Events

Modeling Brain Circuitry over a Wide Range of Scales: Prof. Pascal Fua

  • This event has passed.

Electron microscopes (EM) can now provide the nanometer resolution that is needed to image synapses, and therefore connections, while Light Microscopes (LM) see at the micrometer resolution required to model the 3D structure of the dendritic network. Since both the arborescence and the connections are integral parts of the brain’s wiring diagram, combining these two modalities is critically important.

In this talk, I will therefore present our approach to building the dendritic arborescence, to segmenting intra-neuronal structures from EM images, and to registering the resulting models. I will also argue that the techniques that are in wide usage in the Computer Vision and Machine Learning community are just as applicable in this context.

Short Bio:
Pascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He joined EPFL (Swiss Federal Institute of Technology) in 1996 where he is now a Professor in the School of Computer and Communication Science. Before that, he worked at SRI International and at INRIA Sophia-Antipolis as a Computer Scientist. His research interests include shape modeling and motion recovery
from images, analysis of microscopy images, and Augmented Reality. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences.


June 30, 2014
2:30 pm - 3:30 pm


Centre for Medical Image Computing
+44 (0)20 7679 0221


4th Floor Seminar Room | Wellcome Trust Centre for Neuroimaging
12 Queen Square, London, Select a State: WC1N 3BG United Kingdom
+ Google Map

Cookies on IBME website

Our website uses cookies to provide us with important information about visitors. By continuing to browse the site we'll assume that you are happy to receive all cookies set by IBME.