MIDL 2020, S027, Chamberland et al. Short presentation
Channel: MIDL Society
Date: 05/07/2020

S027 - Tractometry-based Anomaly Detection for Single-subject White Matter Analysis

Maxime Chamberland, Sila Genc, Erika P. Raven, Greg D. Parker, Adam Cunningham, Joanne Doherty, Marianne van den Bree, Chantal M. W. Tax, Derek K. Jones

Conference page: https://2020.midl.io/papers/chamberland20.html
PDF: https://openreview.net/pdf?id=heX-Rk0TE0

Abstract: There is an urgent need for a paradigm shift from group-wise comparisons to individual diagnosis in diffusion MRI (dMRI) to enable the analysis of rare cases and clinically-heterogeneous groups. Deep autoencoders have shown great potential to detect anomalies in neuroimaging data. We present a framework that operates on the manifold of white matter (WM) pathways to learn normative microstructural features, and discriminate those at genetic risk from controls in a paediatric population.