Vertebrae Segmentation in 3D CT Images based on a Variational Framework

Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler, Thomas Pock

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

Original languageEnglish
Title of host publicationProceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI)
Pages200-207
Publication statusPublished - 2014

Fields of Expertise

  • Information, Communication & Computing

Cooperations

  • BioTechMed-Graz

Cite this

Hammernik, K., Ebner, T., Stern, D., Urschler, M., & Pock, T. (2014). Vertebrae Segmentation in 3D CT Images based on a Variational Framework. In Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI) (pp. 200-207)

Vertebrae Segmentation in 3D CT Images based on a Variational Framework. / Hammernik, Kerstin; Ebner, Thomas; Stern, Darko; Urschler, Martin; Pock, Thomas.

Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI). 2014. p. 200-207.

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

Hammernik, K, Ebner, T, Stern, D, Urschler, M & Pock, T 2014, Vertebrae Segmentation in 3D CT Images based on a Variational Framework. in Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI). pp. 200-207.
Hammernik K, Ebner T, Stern D, Urschler M, Pock T. Vertebrae Segmentation in 3D CT Images based on a Variational Framework. In Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI). 2014. p. 200-207
Hammernik, Kerstin ; Ebner, Thomas ; Stern, Darko ; Urschler, Martin ; Pock, Thomas. / Vertebrae Segmentation in 3D CT Images based on a Variational Framework. Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI). 2014. pp. 200-207
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