Autism spectrum disorder (ASD) is a severe psychiatric disorder that affects 1 in 166 children.
There is evidence that ASD is reflected in individuals brain networks and anatomy. Yet, it remains unclear how systematic these effects are, and how large is their predictive remain unclear. The large cohort assembled here can bring some answers. Predicting autism from brain imaging will provide biomarkers and shed some light on the mechanisms of the pathology.
The goal of the competition is to predict the diagnostic status from brain imaging data in the hidden test set. The data of the test set are on a server, hidden from participants. Prediction is done by submitting Python code that will be first trained by the server on training images, and then applied to predict on the hidden test set.
The best performers will be awarded prizes at the end of the competitive period, based on the metrics used during the challenge: 1st - 3000 €, 2nd - 2000 €, 3rd - 1000 €, from 4th to 10th- 500 €.
Please arrive prepared to the workshop:
Challenge website - RAMP starting-kit - RAMP studio platform