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- July 6, 2018.
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- older version (March 8, 2018 - 12:51).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Author Information
- Ali Shahbazi1 (ashahbaz{at}nd.edu) (http://www.eliashahbazi.com/),
- Jeffery Kinnison1 (jkinniso{at}nd.edu) (https://jeffkinnison.com),
- Rafael Vescovi2 (ravescovi{at}gmail.com),
- Ming Du3 (mingdu2015{at}u.northwestern.edu),
- Robert Hill4 (robert.hill{at}yale.edu),
- Maximilian Jösch5 (maxjosch{at}gmail.com),
- Marc Takeno6 (marct{at}alleninstitute.org),
- Hongkui Zeng6 (hongkuiz{at}alleninstitute.org),
- Nuno Maçarico da Costa6 (nunod{at}alleninstitute.org),
- Jaime Grutzendler4 (jaime.grutzendler{at}yale.edu),
- Narayanan Kasthuri7 (bobbykasthuri{at}anl.gov) and
- Walter J. Scheirer1,8 (walter.scheirer{at}nd.edu) (https://www.wjscheirer.com)
- 1 University of Notre Dame;
- 2 University of Chicago;
- 3 Northwestern University;
- 4 Yale University;
- 5 Institute of Science and Technology Austria;
- 6 Allen Institute for Brain Science;
- 7 Argonne National Laboratory
- ↵* Corresponding author; email: walter.scheirer{at}nd.edu
Posted July 06, 2018.
Flexible Learning-Free Segmentation and Reconstruction for Sparse Neuronal Circuit Tracing
