![]() |
|
Between 2009 and 2012, he was a post-doctoral research fellow in the Medical Image Processing Lab, a joint position between the Ecole Polytechnique Fédérale de Lausanne (EPFL), Institute of Bioengineering, and the University of Geneva's Faculty of Medicine, Radiology and Medical Informatics Department.
WebEventForm | |
---|---|
Title: | Learning from neuroimaging and brain genomic data with brain graphs |
Date: | 2 June 2014 |
Location: | CAMP Seminar Room |
Abstract: | Modelling interaction between different parts of the brain as a graph has enabled systems-level insights into brain network topology and organisation. The graph view is also a powerful way of teasing out relationships between very different imaging and biological modalities. Recently, there has been interest in appropriate methods for statistical learning with brain graphs, in particular with applications to prediction for individual subjects in clinical neuroscience (diagnosis and prognosis) and cognitive neuroscience ('brain reading'). In this talk, I will first show a basic pipeline to extract brain graphs from resting-state fMRI data, and a few ways to represent the graphs via embedding ... |
Imageurl: | ![]() |
Type: | News |
Videourl: | |
Conferencelink: |