Anatomical landmark detection in medical applications driven by synthetic data

Gernot Riegler; Martin Urschler; Matthias Rüther; Horst Bischof; Darko Stern

doi:10.1109/ICCVW.2015.21

Anatomical landmark detection in medical applications driven by synthetic data

Gernot Riegler, Martin Urschler, Matthias Rüther, Horst Bischof, Darko Stern

Institute of Computer Graphics and Vision (7100)

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

Original language	English
Title of host publication	IEEE International Conference on Computer Vision Workshop (ICCVW)
Subtitle of host publication	TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
Publisher	Institute of Electrical and Electronics Engineers
Pages	85-89
DOIs	https://doi.org/10.1109/ICCVW.2015.21
Publication status	Published - 2015

Fields of Expertise

Information, Communication & Computing

Cooperations

BioTechMed-Graz

Access to Document

10.1109/ICCVW.2015.21

FWF - FAME - Fully Automatic MRI-based Age Estimation of Adolescents
Bischof, H. & Urschler, M.
1/07/15 → 31/12/18
Project: Research project

Cite this

Riegler, G., Urschler, M., Rüther, M., Bischof, H., & Stern, D. (2015). Anatomical landmark detection in medical applications driven by synthetic data. In IEEE International Conference on Computer Vision Workshop (ICCVW): TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision (pp. 85-89). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCVW.2015.21

Anatomical landmark detection in medical applications driven by synthetic data. / Riegler, Gernot; Urschler, Martin; Rüther, Matthias et al.
IEEE International Conference on Computer Vision Workshop (ICCVW): TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision. Institute of Electrical and Electronics Engineers, 2015. p. 85-89.

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

Riegler, G, Urschler, M, Rüther, M, Bischof, H & Stern, D 2015, Anatomical landmark detection in medical applications driven by synthetic data. in IEEE International Conference on Computer Vision Workshop (ICCVW): TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision. Institute of Electrical and Electronics Engineers, pp. 85-89. https://doi.org/10.1109/ICCVW.2015.21

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title = "Anatomical landmark detection in medical applications driven by synthetic data",

author = "Gernot Riegler and Martin Urschler and Matthias R{\"u}ther and Horst Bischof and Darko Stern",

year = "2015",

doi = "10.1109/ICCVW.2015.21",

language = "English",

pages = "85--89",

booktitle = "IEEE International Conference on Computer Vision Workshop (ICCVW)",

publisher = "Institute of Electrical and Electronics Engineers",

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TY - GEN

T1 - Anatomical landmark detection in medical applications driven by synthetic data

AU - Riegler, Gernot

AU - Urschler, Martin

AU - Rüther, Matthias

AU - Bischof, Horst

AU - Stern, Darko

PY - 2015

Y1 - 2015

U2 - 10.1109/ICCVW.2015.21

DO - 10.1109/ICCVW.2015.21

M3 - Conference paper

SP - 85

EP - 89

BT - IEEE International Conference on Computer Vision Workshop (ICCVW)

PB - Institute of Electrical and Electronics Engineers

ER -

Anatomical landmark detection in medical applications driven by synthetic data

Fields of Expertise

Cooperations

Access to Document

Projects

FWF - FAME - Fully Automatic MRI-based Age Estimation of Adolescents

Cite this