Biologically-constrained graphs for global connectomics reconstruction

Brian Matejek; Daniel Haehn; Haidong Zhu; Donglai Wei; Toufiq Parag; Hanspeter Pfister

doi:10.1109/CVPR.2019.00219

Biologically-constrained graphs for global connectomics reconstruction

Brian Matejek
, Daniel Haehn
, Haidong Zhu
, Donglai Wei
, Toufiq Parag
, Hanspeter Pfister

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019
Publisher	IEEE Computer Society
Pages	2084-2093
Number of pages	10
ISBN (Electronic)	9781728132938
DOIs	https://doi.org/10.1109/CVPR.2019.00219
State	Published - Jun 2019
Event	32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019 - Long Beach, United States Duration: Jun 16 2019 → Jun 20 2019

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	2019-June
ISSN (Print)	1063-6919

Conference

Conference	32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019
Country/Territory	United States
City	Long Beach
Period	6/16/19 → 6/20/19

ASJC Scopus Subject Areas

Software
Computer Vision and Pattern Recognition

Keywords

Biological and Cell Microscopy
Grouping and Shape
Medical
Segmentation

Access to Document

10.1109/CVPR.2019.00219

Cite this

Matejek, B., Haehn, D., Zhu, H., Wei, D., Parag, T., & Pfister, H. (2019). Biologically-constrained graphs for global connectomics reconstruction. In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019 (pp. 2084-2093). Article 8953185 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2019-June). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00219

Biologically-constrained graphs for global connectomics reconstruction. / Matejek, Brian; Haehn, Daniel; Zhu, Haidong et al.
Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, 2019. p. 2084-2093 8953185 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Matejek, B, Haehn, D, Zhu, H, Wei, D, Parag, T & Pfister, H 2019, Biologically-constrained graphs for global connectomics reconstruction. in Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019., 8953185, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2019-June, IEEE Computer Society, pp. 2084-2093, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, United States, 6/16/19. https://doi.org/10.1109/CVPR.2019.00219

Matejek B, Haehn D, Zhu H, Wei D, Parag T, Pfister H. Biologically-constrained graphs for global connectomics reconstruction. In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society. 2019. p. 2084-2093. 8953185. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). doi: 10.1109/CVPR.2019.00219

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author = "Brian Matejek and Daniel Haehn and Haidong Zhu and Donglai Wei and Toufiq Parag and Hanspeter Pfister",

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AU - Pfister, Hanspeter

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KW - Segmentation

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BT - Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019

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ER -

Biologically-constrained graphs for global connectomics reconstruction

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this