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001     1029315
005     20240905204426.0
037 _ _ |a FZJ-2024-05047
041 _ _ |a English
100 1 _ |a Bröhl, Philip
|0 P:(DE-Juel1)195939
|b 0
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245 _ _ |a Deep learning for domain translation between different cell body stainings applied to brain tissue sections
|f 2022-01-25 - 2022-07-25
260 _ _ |c 2022
300 _ _ |a 83
336 7 _ |a Output Types/Supervised Student Publication
|2 DataCite
336 7 _ |a Thesis
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|2 EndNote
336 7 _ |a MASTERSTHESIS
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336 7 _ |a masterThesis
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336 7 _ |a Master Thesis
|b master
|m master
|0 PUB:(DE-HGF)19
|s 1725537198_7723
|2 PUB:(DE-HGF)
336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
|2 ORCID
502 _ _ |a Masterarbeit, HHU Düssledorf, 2022
|c HHU Düssledorf
|b Masterarbeit
|d 2022
536 _ _ |a 5254 - Neuroscientific Data Analytics and AI (POF4-525)
|0 G:(DE-HGF)POF4-5254
|c POF4-525
|f POF IV
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909 C O |o oai:juser.fz-juelich.de:1029315
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910 1 _ |a Forschungszentrum Jülich
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|6 P:(DE-Juel1)195939
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
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|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)POF4-5254
|x 0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
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980 _ _ |a master
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a UNRESTRICTED

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