Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction. - Bernd Taschler; Tian Ge; Kerstin Bendfeldt; Nicole Müller-Lenke; Timothy D. Johnson; Thomas E. Nichols (MICCAI (2), 2014)

Model-based clustering in very high dimensions via adaptive projections. - Bernd Taschler; Frank Dondelinger; Sach Mukherjee (CoRR, 2019)

Ancestral causal learning in high dimensions with a human genome-wide application. - Umberto Noè; Bernd Taschler; Joachim Täger; Peter Heutink; Sach Mukherjee (CoRR, 2019)

Deep Learning of Causal Structures in High Dimensions. - Kai Lagemann; Christian Lagemann; Bernd Taschler; Sach Mukherjee (CoRR, 2022)

Causal inference on neuroimaging data with Mendelian randomisation. - Bernd Taschler; Stephen M. Smith 001; Thomas E. Nichols (NeuroImage, 2022)

Amplitudes of resting-state functional networks - investigation into their correlates and biophysical properties. - Soojin Lee; Janine D. Bijsterbosch; Fidel Alfaro-Almagro; Lloyd T. Elliott; Paul McCarthy; Bernd Taschler; Roser Sala-Llonch; Christian F. Beckmann; Eugene P. Duff; Stephen M. Smith 001; Gwenaëlle Douaud (NeuroImage, 2023)

Deep learning of causal structures in high dimensions under data limitations. - Kai Lagemann; Christian Lagemann; Bernd Taschler; Sach Mukherjee (Nat. Mac. Intell., 2023)