Lower jawbone data generation for deep learning tools under MeVisLab

Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Research output: Contribution to conferencePaperResearchpeer-review

LanguageEnglish
StatusPublished - 2018
EventSPIE Medical Imaging 2018 - Marriott Marquis, Houston, United States
Duration: 10 Feb 201815 Feb 2018

Conference

ConferenceSPIE Medical Imaging 2018
CountryUnited States
CityHouston
Period10/02/1815/02/18

Cite this

Pfarrkirchner, B., Gsaxner, C., Lindner, L., Jakse, N., Wallner, J., Schmalstieg, D., & Egger, J. (2018). Lower jawbone data generation for deep learning tools under MeVisLab. Paper presented at SPIE Medical Imaging 2018, Houston, United States.

Lower jawbone data generation for deep learning tools under MeVisLab. / Pfarrkirchner, Birgit; Gsaxner, Christina; Lindner, Lydia; Jakse, Norbert; Wallner, Jürgen; Schmalstieg, Dieter; Egger, Jan.

2018. Paper presented at SPIE Medical Imaging 2018, Houston, United States.

Research output: Contribution to conferencePaperResearchpeer-review

Pfarrkirchner, B, Gsaxner, C, Lindner, L, Jakse, N, Wallner, J, Schmalstieg, D & Egger, J 2018, 'Lower jawbone data generation for deep learning tools under MeVisLab' Paper presented at SPIE Medical Imaging 2018, Houston, United States, 10/02/18 - 15/02/18, .
Pfarrkirchner B, Gsaxner C, Lindner L, Jakse N, Wallner J, Schmalstieg D et al. Lower jawbone data generation for deep learning tools under MeVisLab. 2018. Paper presented at SPIE Medical Imaging 2018, Houston, United States.
Pfarrkirchner, Birgit ; Gsaxner, Christina ; Lindner, Lydia ; Jakse, Norbert ; Wallner, Jürgen ; Schmalstieg, Dieter ; Egger, Jan. / Lower jawbone data generation for deep learning tools under MeVisLab. Paper presented at SPIE Medical Imaging 2018, Houston, United States.
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year = "2018",
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note = "SPIE Medical Imaging 2018 ; Conference date: 10-02-2018 Through 15-02-2018",

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TY - CONF

T1 - Lower jawbone data generation for deep learning tools under MeVisLab

AU - Pfarrkirchner, Birgit

AU - Gsaxner, Christina

AU - Lindner, Lydia

AU - Jakse, Norbert

AU - Wallner, Jürgen

AU - Schmalstieg, Dieter

AU - Egger, Jan

PY - 2018

Y1 - 2018

M3 - Paper

ER -