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| 001 | 903478 | ||
| 005 | 20231123201913.0 | ||
| 024 | 7 | _ | |a 10.1109/ISBI48211.2021.9433986 |2 doi |
| 024 | 7 | _ | |a WOS:000786144100121 |2 pmid |
| 024 | 7 | _ | |a WOS:000786144100121 |2 WOS |
| 037 | _ | _ | |a FZJ-2021-05150 |
| 100 | 1 | _ | |a Schiffer, Christian |0 P:(DE-Juel1)170068 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) |c Nice |d 2021-04-13 - 2021-04-16 |w France |
| 245 | _ | _ | |a Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections |
| 260 | _ | _ | |c 2021 |b IEEE |
| 295 | 1 | 0 | |a 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) : [Proceedings] - IEEE, 2021. - ISBN 978-1-6654-1246-9 - doi:10.1109/ISBI48211.2021.9433986 |
| 300 | _ | _ | |a 603-606 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
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| 536 | _ | _ | |a 5254 - Neuroscientific Data Analytics and AI (POF4-525) |0 G:(DE-HGF)POF4-5254 |c POF4-525 |f POF IV |x 0 |
| 536 | _ | _ | |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) |0 G:(EU-Grant)785907 |c 785907 |f H2020-SGA-FETFLAG-HBP-2017 |x 1 |
| 536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 2 |
| 536 | _ | _ | |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) |0 G:(DE-HGF)InterLabs-0015 |c InterLabs-0015 |x 3 |
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| 700 | 1 | _ | |a Harmeling, Stefan |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Dickscheid, Timo |0 P:(DE-Juel1)165746 |b 3 |u fzj |
| 773 | _ | _ | |a 10.1109/ISBI48211.2021.9433986 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/903478/files/Schiffer_etal_ISBI_2021.pdf |y Restricted |
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| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)165746 |
| 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)POF4-5254 |x 0 |
| 914 | 1 | _ | |y 2021 |
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