ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression

Autor: Stefano B. Blumberg, M Tariq, Maria Robu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Maria Del Mar Estarellas Garcia, Cemre Zor, Baris Kanber, Fabio Ferreira, Tong Wu, Janaina Mourao-Miranda, Daniil I. Nikitichev, Agoston Mihalik, Neil P. Oxtoby

Publikováno v: Adolescent brain cognitive development neurocognitive prediction
Lecture Notes in Computer Science
Adolescent Brain Cognitive Development Neurocognitive Prediction ISBN: 9783030319007
ABCD-NP@MICCAI

We applied several regression and deep learning methods to predict fluid intelligence scores from T1-weighted MRI scans as part of the ABCD Neurocognitive Prediction Challenge (ABCD-NP-Challenge) 2019. We used voxel intensities and probabilistic tiss

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d22a0ed5b00658bf36190b854332da0
http://arxiv.org/abs/1905.10831