Posterior shape models. - Thomas Albrecht; Marcel Lüthi; Thomas Gerig; Thomas Vetter (Medical Image Anal., 2013)

Spatially Varying Registration Using Gaussian Processes. - Thomas Gerig; Kamal Shahim; Mauricio Reyes 001; Thomas Vetter; Marcel Lüthi (MICCAI (2), 2014)

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. - Adam Kortylewski; Bernhard Egger 001; Andreas Schneider; Thomas Gerig; Andreas Morel-Forster; Thomas Vetter (CVPR Workshops, 2018)

Morphable Face Models - An Open Framework. - Thomas Gerig; Andreas Morel-Forster; Clemens Blumer; Bernhard Egger 001; Marcel Lüthi; Sandro Schönborn; Thomas Vetter (FG, 2018)

Probabilistic Fitting of Active Shape Models. - Andreas Morel-Forster; Thomas Gerig; Marcel Lüthi; Thomas Vetter (ShapeMI@MICCAI, 2018)

Training Deep Face Recognition Systems with Synthetic Data. - Adam Kortylewski; Andreas Schneider; Thomas Gerig; Bernhard Egger 001; Andreas Morel-Forster; Thomas Vetter (CoRR, 2018)

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. - Adam Kortylewski; Andreas Schneider; Thomas Gerig; Clemens Blumer; Bernhard Egger 001; Corius Reyneke; Andreas Morel-Forster; Thomas Vetter (CoRR, 2018)

Gaussian Process Morphable Models. - Marcel Lüthi; Thomas Gerig; Christoph Jud; Thomas Vetter (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. - Adam Kortylewski; Bernhard Egger 001; Andreas Schneider; Thomas Gerig; Andreas Morel-Forster; Thomas Vetter (CVPR Workshops, 2019)

Error-Controlled Model Approximation for Gaussian Process Morphable Models. - Jürgen Dölz; Thomas Gerig; Marcel Lüthi; Helmut Harbrecht; Thomas Vetter (J. Math. Imaging Vis., 2019)

Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis. - Vimal Chandran; Ghislain Maquer; Thomas Gerig; Philippe Zysset; Mauricio Reyes 001 (Medical Image Anal., 2019)