RESEARCH AREA:

Machine Learning & Structural Brain Connectivity (CHUV-EPFL)

Section Head: Prof. Jean-Philippe Thiran (EPFL)

Brief introduction to the research area here

RESEARCH TOPICS

Tractography validation and structural connectivity

Description: The project aims at the validation of the brain structural connectivity estimated from diffusion MRI tractography. Tractohraphy is an algorithmic method that estimates white matter pathways using the axon orientation sensitive measurements of diffusion MRI. Although many successful applications, tractography suffers from several limitations and biases. The goal of the project is to better characterize those limitations and optimize the reconstruction parameters for a more accurate and reproducible structural connectivity estimation.

Investigator: Gabriel Girard (EPFL)

Collaborators: Jean-Philippe Thiran, Ileana Jelescu, Giorgio Innocenti, Friedhelm Hummel, Elvira Pirondini, Elda Fischi, Marco Pizzolato, Erick Canales-Rodriguez 

Computational medical imaging - diffusion MRI

Description: Coming soon…

Investigator: Jean-Philippe Thiran (EPFL)

Collaborators: Coming soon…

Structural brain connectivity analysis

Description: Coming soon…

Investigator: Jean-Philippe Thiran (EPFL)

Collaborators: Coming soon…

Computational medical imaging - ultrasound imaging

Description: Coming soon…

Investigator: Jean-Philippe Thiran (EPFL)

Collaborators: Coming soon…

Deep Learning

Description: Coming soon…

Investigator: Behzad Bozorgtabar (EPFL)

Collaborators: Coming soon…

Medical Image Analysis

Description: Coming soon…

Investigator: Behzad Bozorgtabar (EPFL)

Collaborators: Coming soon…

Computer Vision

Description: Coming soon…

Investigator: Behzad Bozorgtabar (EPFL)

Collaborators: Coming soon…