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  Predicting individual clinical trajectories of depression with generative embedding

Frässle, S., Marquand, A. F., Schmaal, L., Dinga, R., Veltman, D. J., Van der Wee, N. J., et al. (2020). Predicting individual clinical trajectories of depression with generative embedding. NeuroImage: Clinical, 26: 102213. doi:10.1016/j.nicl.2020.102213.

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Genre: Journal Article

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 Creators:
Frässle, Stefan, Author
Marquand, Andre F., Author
Schmaal, Lianne, Author
Dinga, Richard, Author
Veltman, Dick J., Author
Van der Wee, Nic J.A., Author
Van Tól, Marie José, Author
Schöbi, Dario, Author
Penninx, Brenda W.J.H., Author
Stephan, Klaas Enno1, Author              
Affiliations:
1Neuronal Control of Metabolism, Department Jens Brüning, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149644              

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Language(s): eng - English
 Dates: 20202020
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.nicl.2020.102213
 Degree: -

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Title: NeuroImage: Clinical
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Elsevier
Pages: - Volume / Issue: 26 Sequence Number: 102213 Start / End Page: - Identifier: ISSN: 2213-1582
CoNE: https://pure.mpg.de/cone/journals/resource/2213-1582