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| 001 | 862023 | ||
| 005 | 20210130001136.0 | ||
| 024 | 7 | _ | |a 2128/22221 |2 Handle |
| 037 | _ | _ | |a FZJ-2019-02397 |
| 100 | 1 | _ | |a Sharib, Ali |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a IEEE International Symposium on Biomedical Imaging |g ISBI |c Barcelona |d 2017-04-18 - 2017-04-21 |w Spain |
| 245 | _ | _ | |a ELASTIC REGISTRATION OF HIGH-RESOLUTION 3D PLI DATA OF THE HUMAN BRAIN |
| 260 | _ | _ | |c 2017 |
| 300 | _ | _ | |a 1-5 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1558970350_31637 |2 PUB:(DE-HGF) |
| 520 | _ | _ | |a We introduce a new approach for the elastic registration ofhigh-resolution 3D polarized light imaging (3D PLI) data ofhistological sections of the human brain. For accurate regis-tration of different types of 3D PLI modalities, we proposea novel intensity similarity measure that is based on a least-squares formulation of normalized cross-correlation. More-over, we present a fully automatic registration pipeline forrigid and elastic registration of high-resolution 3D PLI imageswith a blockface reference including a preprocessing step. Wehave successfully evaluated our approach using manually ob-tained ground truth for five sections of a human brain and ex-perimentally compared it with previous approaches. We alsopresent experimental results for 60 brain sections. |
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| 536 | _ | _ | |a HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) |0 G:(EU-Grant)720270 |c 720270 |f H2020-Adhoc-2014-20 |x 1 |
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| 700 | 1 | _ | |a Grässel, David |0 P:(DE-Juel1)131642 |b 3 |u fzj |
| 700 | 1 | _ | |a Schlömer, Philipp |0 P:(DE-Juel1)157671 |b 4 |u fzj |
| 700 | 1 | _ | |a Amunts, Katrin |0 P:(DE-Juel1)131631 |b 5 |u fzj |
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| 700 | 1 | _ | |a Wörz |0 P:(DE-HGF)0 |b 7 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/862023/files/ali_ISBI17_acceptedHR.pdf |
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| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-571 |2 G:(DE-HGF)POF3-500 |v Connectivity and Activity |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
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