Hauptseite > Publikationsdatenbank > Machine-learning in neuroimaging: From association to prediction & a challenging road ahead > print

001     912407
005     20221207131318.0
037 _ _ |a FZJ-2022-05591
041 _ _ |a English
100 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 0
|e Corresponding author
111 2 _ |a International Forum for AI and Mental Health
|c Shanghai
|d 2022-12-07 -
|w online event
245 _ _ |a Machine-learning in neuroimaging: From association to prediction & a challenging road ahead
260 _ _ |c 2022
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Talk (non-conference)
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336 7 _ |a Other
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536 _ _ |a 5253 - Neuroimaging (POF4-525)
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909 C O |o oai:juser.fz-juelich.de:912407
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5253
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914 1 _ |y 2022
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
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980 _ _ |a talk
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a UNRESTRICTED

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