Variational Segmentation of Elongated Volumetric Structures

Christian Reinbacher, Thomas Pock, Christian Bauer, Horst Bischof

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationIEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010)
Publisher.
Pages3177-3184
Publication statusPublished - 2010
EventCVPR 2010: 23rd IEEE Conference on Computer Vision and Pattern Recognition - San Francisco, United States
Duration: 13 Jun 201018 Jun 2010

Conference

ConferenceCVPR 2010
CountryUnited States
CitySan Francisco
Period13/06/1018/06/10

Treatment code (Nähere Zuordnung)

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Cite this

Reinbacher, C., Pock, T., Bauer, C., & Bischof, H. (2010). Variational Segmentation of Elongated Volumetric Structures. In IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010) (pp. 3177-3184). ..

Variational Segmentation of Elongated Volumetric Structures. / Reinbacher, Christian; Pock, Thomas; Bauer, Christian; Bischof, Horst.

IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010). ., 2010. p. 3177-3184.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Reinbacher, C, Pock, T, Bauer, C & Bischof, H 2010, Variational Segmentation of Elongated Volumetric Structures. in IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010). ., pp. 3177-3184, CVPR 2010, San Francisco, United States, 13/06/10.
Reinbacher C, Pock T, Bauer C, Bischof H. Variational Segmentation of Elongated Volumetric Structures. In IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010). . 2010. p. 3177-3184
Reinbacher, Christian ; Pock, Thomas ; Bauer, Christian ; Bischof, Horst. / Variational Segmentation of Elongated Volumetric Structures. IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010). ., 2010. pp. 3177-3184
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