A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. - Akshay Pai; Stefan Sommer; Lars Lau Rakêt; Line Kühnel; Sune Darkner; Lauge Sørensen; Mads Nielsen (MCV/BAMBI@MICCAI, 2016)

Stochastic Development Regression Using Method of Moments. - Line Kühnel; Stefan Sommer (GSI, 2017)

Stochastic Development Regression on Non-linear Manifolds. - Line Kühnel; Stefan Sommer (IPMI, 2017)

Computational Anatomy in Theano. - Line Kühnel; Stefan Sommer (GRAIL/MFCA/MICGen@MICCAI, 2017)

Bridge Simulation and Metric Estimation on Landmark Manifolds. - Stefan Sommer; Alexis Arnaudon; Line Kühnel; Sarang C. Joshi (GRAIL/MFCA/MICGen@MICCAI, 2017)

Most Likely Separation of Intensity and Warping Effects in Image Registration. - Line Kühnel; Stefan Sommer; Akshay Pai; Lars Lau Rakêt (SIAM J. Imaging Sci., 2017)

Latent Space Non-Linear Statistics. - Line Kühnel; Tom Fletcher; Sarang C. Joshi; Stefan Sommer (CoRR, 2018)

Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions. - Line Kühnel; Alexis Arnaudon; Tom Fletcher; Stefan Sommer (CoRR, 2018)

Differential geometry and stochastic dynamics with deep learning numerics. - Line Kühnel; Stefan Sommer; Alexis Arnaudon (Appl. Math. Comput., 2019)

Latent Space Geometric Statistics. - Line Kühnel; Tom Fletcher; Sarang C. Joshi; Stefan Sommer (ICPR Workshops (6), 2020)