Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours

Fabian Schenk; Martin Urschler; Christoph Aigner; Imme Rösner; Philipp Aichinger; Horst Bischof

Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours

Fabian Schenk, Martin Urschler, Christoph Aigner, Imme Rösner, Philipp Aichinger, Horst Bischof

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Proceedings of the 18th Conference on Medical Image Understanding and Analysis
Editors	Constantino C. Reyes-Aldasoro, Greg Slabaugh
Publisher	The British Machine Vision Association
Pages	111-116
Publication status	Published - 2014

Fields of Expertise

Information, Communication & Computing

Cooperations

BioTechMed-Graz

Access to Document

http://www.staff.city.ac.uk/~sbbh653/MIUA2014Proceedings.pdfLicence: Unspecified

Klinisch-Forensische Bildgebung - Developing methods to standardize computer-assisted medical MRI datas [Original in Deutsch: Klinisch-Forensische Bildgebung] - Standard_MRT
Urschler, M., Bornik, A. & Bischof, H.
1/12/08 → 31/05/15
Project: Research project

Cite this

Schenk, F., Urschler, M., Aigner, C., Rösner, I., Aichinger, P., & Bischof, H. (2014). Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours. In C. C. Reyes-Aldasoro, & G. Slabaugh (Eds.), Proceedings of the 18th Conference on Medical Image Understanding and Analysis (pp. 111-116). The British Machine Vision Association. http://www.staff.city.ac.uk/~sbbh653/MIUA2014Proceedings.pdf

Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours. / Schenk, Fabian; Urschler, Martin; Aigner, Christoph et al.
Proceedings of the 18th Conference on Medical Image Understanding and Analysis. ed. / Constantino C. Reyes-Aldasoro; Greg Slabaugh. The British Machine Vision Association, 2014. p. 111-116.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Schenk, F, Urschler, M, Aigner, C, Rösner, I, Aichinger, P & Bischof, H 2014, Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours. in CC Reyes-Aldasoro & G Slabaugh (eds), Proceedings of the 18th Conference on Medical Image Understanding and Analysis. The British Machine Vision Association, pp. 111-116. <http://www.staff.city.ac.uk/~sbbh653/MIUA2014Proceedings.pdf>

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title = "Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours",

author = "Fabian Schenk and Martin Urschler and Christoph Aigner and Imme R{\"o}sner and Philipp Aichinger and Horst Bischof",

year = "2014",

language = "English",

pages = "111--116",

editor = "Reyes-Aldasoro, {Constantino C.} and Greg Slabaugh",

booktitle = "Proceedings of the 18th Conference on Medical Image Understanding and Analysis",

publisher = "The British Machine Vision Association",

address = "United Kingdom",

}

TY - GEN

T1 - Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours

AU - Schenk, Fabian

AU - Urschler, Martin

AU - Aigner, Christoph

AU - Rösner, Imme

AU - Aichinger, Philipp

AU - Bischof, Horst

PY - 2014

Y1 - 2014

M3 - Conference paper

SP - 111

EP - 116

BT - Proceedings of the 18th Conference on Medical Image Understanding and Analysis

A2 - Reyes-Aldasoro, Constantino C.

A2 - Slabaugh, Greg

PB - The British Machine Vision Association

ER -

Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours

Fields of Expertise

Cooperations

Access to Document

Projects

Klinisch-Forensische Bildgebung - Developing methods to standardize computer-assisted medical MRI datas [Original in Deutsch: Klinisch-Forensische Bildgebung] - Standard_MRT

Cite this