BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Revolutionizing Connectomics using Generative\, Federated and Holi
 stic Learning - Dr Islem Rekik\, Imperial College London
DTSTART:20250306T150000Z
DTEND:20250306T160000Z
UID:TALK227146@talks.cam.ac.uk
CONTACT:Sarah Morgan
DESCRIPTION:The brain is a highly complex network that can be represented 
 as a matrix using multimodal magnetic resonance imaging (MRI)\, including 
 T1-w MRI and resting-state functional MRI. This talk will provide an overv
 iew of prime graph neural network models designed for generating brain con
 nectivity across various dimensions\, including scale\, time\, and domain.
  Such works aim to revolutionize the field of network neuroscience (also c
 alled connectomics) by learning how to directly generate brain matrices wh
 ile circumventing the need to acquire additional MRI data\, a process that
  is both costly and time-consuming. The talk will also cover new trends su
 ch as federated connectome generation.
LOCATION:Online
END:VEVENT
END:VCALENDAR