Bernd Taschler

According to our database, Bernd Taschler authored at least 7 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep learning of causal structures in high dimensions under data limitations.

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

Nat. Mac. Intell., October, 2023

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, Gwenaëlle Douaud

NeuroImage, 2023

2022

Causal inference on neuroimaging data with Mendelian randomisation.

Bernd Taschler, Stephen M. Smith, Thomas E. Nichols

NeuroImage, 2022

Deep Learning of Causal Structures in High Dimensions.

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

CoRR, 2022

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

Model-based clustering in very high dimensions via adaptive projections.

Bernd Taschler, Frank Dondelinger, Sach Mukherjee

CoRR, 2019

2014

Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction.

Bernd Taschler, Tian Ge, Kerstin Bendfeldt, Nicole Müller-Lenke, Timothy D. Johnson, Thomas E. Nichols

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014