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Caroline Matthis

Showing results (1-10 of 4) with videos related to

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Frontiers in Psychiatry|December 20, 2016
Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an ExamplePegah Kassraian-Fard, Caroline Matthis, Joshua H Balsters, et al.
Addiction Biology|November 13, 2019
Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controlsAlexander Genauck, Milan Andrejevic, Katharina Brehm, et al.
Addiction Biology|August 7, 2020
Neural correlates of cue-induced changes in decision-making distinguish subjects with gambling disorder from healthy controlsAlexander Genauck, Caroline Matthis, Milan Andrejevic, et al.
Addiction Biology|May 31, 2018
Risk profiles for heavy drinking in adolescence: differential effects of genderSambu Seo, Anne Beck, Caroline Matthis, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Psychiatry|December 20, 2016
Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an ExamplePegah Kassraian-Fard, Caroline Matthis, Joshua H Balsters, et al.
Addiction Biology|November 13, 2019
Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controlsAlexander Genauck, Milan Andrejevic, Katharina Brehm, et al.
Addiction Biology|August 7, 2020
Neural correlates of cue-induced changes in decision-making distinguish subjects with gambling disorder from healthy controlsAlexander Genauck, Caroline Matthis, Milan Andrejevic, et al.
Addiction Biology|May 31, 2018
Risk profiles for heavy drinking in adolescence: differential effects of genderSambu Seo, Anne Beck, Caroline Matthis, et al.
Pageof 1