Efficient fiber clustering using parameterized polynomials. - Jan Klein 001; Hannes Stuke; Bram Stieltjes; Olaf Konrad; Horst K. Hahn; Heinz-Otto Peitgen (Image-Guided Procedures, 2008)

Towards user-independent DTI quantification. - Jan Klein 001; Hannes Stuke; Jan Rexilius; Bram Stieltjes; Horst K. Hahn; Heinz-Otto Peitgen (Image Processing, 2008)

Learning uncertainty in regression tasks by deep neural networks. - Pavel Gurevich; Hannes Stuke (CoRR, 2017)

Psychotic Experiences and Overhasty Inferences Are Related to Maladaptive Learning. - Heiner Stuke; Hannes Stuke; Veith Andreas Weilnhammer; Katharina Schmack (PLoS Comput. Biol., 2017)

Gradient conjugate priors and deep neural networks. - Pavel Gurevich; Hannes Stuke (CoRR, 2018)

Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors. - Pavel Gurevich; Hannes Stuke (CoRR, 2019)

Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty. - Pavel Gurevich; Hannes Stuke (Neurocomputing, 2019)

Gradient conjugate priors and multi-layer neural networks. - Pavel Gurevich; Hannes Stuke (Artif. Intell., 2020)

Dynamical Systems Approach to Outlier Robust Deep Neural Networks for Regression. - Pavel Gurevich; Hannes Stuke (SIAM J. Appl. Dyn. Syst., 2020)