Compage 2020: Posters on Day 1
1 | Atypical development of subcortico-cortical effective connectivity in autism spectrum disorders | Luigi Lorenzini (VUmc Amsterdam) |
2 | Inter-cohort validation of SuStaIn model for Alzheimer’s disease | Damiano Archetti (IRCCS Centro San Giovanni di Dio-Fatebenefratelli) |
3 | A framework to translate computational approaches for chronic conditions into a clinical tool: the icompass case. | Maura Bellio (University College London) |
4 | Convolutional Neural Networks for Assessing Population-wide Whole Brain Ageing Effects from Structural MRI Scans | Ksenia Sokolova (King’s College London) |
5 | Strain-specific disease progression patterns of sporadic Creutzfeldt-Jakob disease revealed by Subtype and Stage Inference model | Riccardo Pascuzzo (Fondazione IRCCS Istituto Neurologico Carlo Besta) |
6 | Machine learning of WM diffusion changes shows robust brain age prediction and different regional aging | Carinna Torgerson (USC) |
7 | Analyzing the effect of APOE on Alzheimer’s disease progression using an event-based model for stratified populations | Vikram Venkatraghavan (Erasmus MC) |
8 | Predicting the incidence of Alzheimer’s disease in the general elderly population using event-based modelling | Elisabeth Vinke (Erasmus MC) |
9 | Deep learning of brain MRI reveals sex and ethnicity-dependent brain aging led by metabolic syndromes | Mengting Liu (University of Southern California) |
10 | Model-based subtypes of disease progression in Parkinson’s | Neil Oxtoby (University College London) |