Hauptseite > Publikationsdatenbank > Machine learning for neuroimaging-based prediction of behavioural phenotypes: opportunities and challenges > print

001     915907
005     20221213131511.0
037 _ _ |a FZJ-2022-05776
100 1 _ |a Li, Jingwei
|0 P:(DE-Juel1)164828
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Virtual Brain Meeting (a virtual seminar organized by Dr. Stefano Sandrone from Imperial College London)
|c online event
|d 2022-11-24 -
|w virtual
245 _ _ |a Machine learning for neuroimaging-based prediction of behavioural phenotypes: opportunities and challenges
260 _ _ |c 2022
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Talk (non-conference)
|b talk
|m talk
|0 PUB:(DE-HGF)31
|s 1670912877_6832
|2 PUB:(DE-HGF)
|x Invited
336 7 _ |a Other
|2 DINI
536 _ _ |a 5253 - Neuroimaging (POF4-525)
|0 G:(DE-HGF)POF4-5253
|c POF4-525
|f POF IV
|x 0
856 4 _ |u https://virtualbrainmeetings.com/
909 C O |o oai:juser.fz-juelich.de:915907
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)164828
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5253
|x 0
914 1 _ |y 2022
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a talk
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a UNRESTRICTED

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