| Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example P Kassraian-Fard, C Matthis, JH Balsters, MH Maathuis, N Wenderoth Frontiers in psychiatry 7, 211553, 2016 | 123 | 2016 |
| Risk profiles for heavy drinking in adolescence: differential effects of gender S Seo, A Beck, C Matthis, A Genauck, T Banaschewski, ALW Bokde, ... Addiction biology 24 (4), 787-801, 2019 | 39 | 2019 |
| Cue‐induced effects on decision‐making distinguish subjects with gambling disorder from healthy controls A Genauck, M Andrejevic, K Brehm, C Matthis, A Heinz, A Weinreich, ... Addiction Biology 25 (6), e12841, 2020 | 15 | 2020 |
| Neural correlates of cue‐induced changes in decision‐making distinguish subjects with gambling disorder from healthy controls A Genauck, C Matthis, M Andrejevic, L Ballon, F Chiarello, K Duecker, ... Addiction Biology 26 (3), e12951, 2021 | 9 | 2021 |
| Risk profiles for heavy drinking in adolescence: differential effects of gender. SSB Seo SamBu, A Beck, C Matthis, A Genauck, T Banaschewski, ... | | 2019 |
| Neurobehavioural patterns of alcohol abuse in adolescence C Matthis PQDT-Global, 2019 | | 2019 |
Marloes MaathuisVerified email at stat.math.ethz.ch
