IMaging-PsychiAtry Challenge (IMPAC): Predicting autism diagnosis from MRI data

[Remi-Gau]

Added as an issue for book keeping

Source:
https://brainhack.ch/past_events/global2021/index.html#brainhack-autism-challenge
https://github.com/brainhack-ch/brainhack-neurodevelop-challenge

Leader:
Yuliia Nikolaenko

The aim of the project is to try to predict autism diagnosis from MRI data. The ABIDE public dataset will be used for trying and training algorithms, and the NYU site will be kept separate for scoring. We will compare the results with those obtained in the previous challenge we organised in 2018 (Traut et al. 2021).