Brain image analysis across scales: from high-resolution histology to low-resolution clinical and portable MRI
Teams link: www.win.ox.ac.uk/events/win_seminar_mar_2025

In this talk, I will summarize work done at my group over the last decade, on brain image analysis of brain MRI. I will start with our initial efforts on high-resolution atlasing using ex vivo MRI and histology, with an emphasis on our recently released NextBrain, which is the first probabilistic atlas of the whole human brain built with high-resolution 3D histology, and which can be used to automatically segment MRI scans (in vivo or ex vivo) into 300+ regions of interest. Then I will move on to our family of deep convolutional neural networks trained on synthetic, domain-randomized data. These networks can, for the first time, segment MRI scans of any orientation, resolution, and contrast “out of the box”, without retraining. I will show applications to large-scale analysis of clinical scans, models of pathology, analysis of low-field scans acquired with a portable device, and foundation models.
Date: 5 February 2025, 12:00
Venue: FMRIB Centre, Headington OX3 9DU
Venue Details: Cowey Room, FMRIB Annexe
Speaker: Juan Eugenio Iglesias Gonzalez (Martinos Center for Biomedical Imaging, Harvard University)
Organising department: Nuffield Department of Clinical Neurosciences
Organiser: Stuart Clare (University of Oxford)
Organiser contact email address: admin@win.ox.ac.uk
Part of: WIN Wednesdays Seminar Series
Booking required?: Not required
Audience: Members of the University only
Editor: Iske Bakker