Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset.

^*Corresponding author for this work

Research output: Contribution to journal › Research article

Original language	English
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
DOIs	https://doi.org/10.1109/EMBC.2018.8512458
Publication status	Published - 2018

Branches of science

TY - JOUR

T1 - Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset.

AU - Pfarrkirchner, B

AU - Schwarz-Gsaxner, Christina

AU - Lindner, L

AU - Schmalstieg, D

A2 - Egger, Jan

A2 - Wallner, Jürgen

PY - 2018

Y1 - 2018

UR - https://pubmed.ncbi.nlm.nih.gov/30440482

U2 - 10.1109/EMBC.2018.8512458

DO - 10.1109/EMBC.2018.8512458

M3 - Research article

C2 - 30440482

SN - 1557-170X

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

ER -