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Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019

Fisch, L; Leenings, R; Winter, NR; Dannlowski, U; Gaser, C; Cole, JH; Hahn, T; (2021) Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019. Frontiers in Psychiatry , 12 , Article 710932. 10.3389/fpsyt.2021.710932. Green open access

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Type: Article
Title: Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fpsyt.2021.710932
Publisher version: http://dx.doi.org/10.3389/fpsyt.2021.710932
Language: English
Additional information: Copyright © 2021 Fisch, Leenings, Winter, Dannlowski, Gaser, Cole and Hahn. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10133900
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