Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2018Automatic teeth segmentation in cephalometric X-ray images using a coupled shape model
Wirtz, Andreas; Wambach, Johannes; Wesarg, Stefan
Conference Paper
2018Automatic teeth segmentation in panoramic X-ray images using a coupled shape model in combination with a neural network
Wirtz, Andreas; Mirashi, Sudesh Ganapati; Wesarg, Stefan
Conference Paper
2018A novel Bayesian model incorporating deep neural network and statistical shape model for pancreas segmentation
Ma, Jingting; Lin, Feng; Wesarg, Stefan; Erdt, Marius
Conference Paper
2017Nonlinear statistical shape modeling for ankle bone segmentation using a novel kernelized robust PCA
Ma, Jingting; Wang, Anqi; Lin, Feng; Wesarg, Stefan; Erdt, Marius
Conference Paper
2014COSMO - coupled shape model for radiation therapy planning of head and neck cancer
Jung, Florian; Steger, Sebastian; Knapp, Oliver; Noll, Matthias; Wesarg, Stefan
Conference Paper
2011Optimal Initialization for 3D correspondence optimization: An evaluation study
Kirschner, Matthias; Gollmer, Sebastian T.; Wesarg, Stefan; Buzug, Thorsten M.
Conference Paper
20103D statistical shape model building using consistent parameterization
Kirschner, Matthias; Wesarg, Stefan
Conference Paper
2010Parametrisierung und Rekonstruktion einer Fläche vom Geschlecht 1 im Rahmen der Segmentierung mit statistischen Formmodellen
Becker, Meike
: Kirschner, Matthias (Betreuer)
Master Thesis
2010Smart manual landmarking of organs
Erdt, Marius; Kirschner, Matthias; Wesarg, Stefan
Conference Paper
2009Area preserving parameterisation of shapes with spherical topology
Kirschner, Matthias; Wesarg, Stefan
Conference Paper
2009Evaluation statistischer Verfahren zur Modellierung von Formvariation
Schmitt, Michael
: Kirschner, Matthias (Betreuer)
Bachelor Thesis
2009Simultaneous segmentation and correspondence establishment for statistical shape models
Erdt, Marius; Kirschner, Matthias; Wesarg, Stefan
Conference Paper