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| 001 | 916046 | ||
| 005 | 20221216132047.0 | ||
| 024 | 7 | _ | |a 2128/33136 |2 Handle |
| 037 | _ | _ | |a FZJ-2022-05892 |
| 100 | 1 | _ | |a Demirtas, Yasir |0 P:(DE-Juel1)191291 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a Helmholtz Imaging Conference 2022 |c Berlin |d 2022-05-31 - 2022-06-01 |w Germany |
| 245 | _ | _ | |a Neuroimaging-Genetics bridge for better understanding of human brain organization |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Poster |2 DataCite |
| 336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1671117229_13912 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a Magnetic Resonance Imaging (MRI) has promising potential for clinical translation due to its non-invasive nature and high spatial resolution. MRI offers structural and functional measurement modalities which capture the fundamental principles of human brain organization and variability in neurological disorders. Combining information from the MRI-derived phenomics and DNA-derived transcriptomics can provide a holistic view of human brain organization and deeper insights into disease pathologies. |
| 536 | _ | _ | |a 5253 - Neuroimaging (POF4-525) |0 G:(DE-HGF)POF4-5253 |c POF4-525 |f POF IV |x 0 |
| 700 | 1 | _ | |a Sasse, Leonard |0 P:(DE-Juel1)190306 |b 1 |u fzj |
| 700 | 1 | _ | |a Abdik, Ecehan |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Omidvarnia, Amir |0 P:(DE-Juel1)188339 |b 3 |u fzj |
| 700 | 1 | _ | |a Raimondo, Federico |0 P:(DE-Juel1)185083 |b 4 |u fzj |
| 700 | 1 | _ | |a Cakir, Tunahan |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Patil, Kaustubh |0 P:(DE-Juel1)172843 |b 6 |u fzj |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/916046/files/HIP_Poster_Final_YasirDemirtas_20221215110816-2.pdf |y OpenAccess |
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| 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 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | _ | _ | |l yes |
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