A Systems-Level Approach to Human Epileptic Seizures. - Christian Rummel; Marc Goodfellow; Heidemarie Gast; Martinus Hauf; Frédérique Amor; Alexander Stibal; Luigi Mariani; Roland Wiest; Kaspar Schindler (Neuroinformatics, 2013)

Genuine cross-correlations: Which surrogate based measure reproduces analytical results best? - Arlex Oscar Marín García; Markus Franziskus Müller; Kaspar Schindler; Christian Rummel (Neural Networks, 2013)

Standing Waves as an Explanation for Generic Stationary Correlation Patterns in Noninvasive EEG of Focal Onset Seizures. - Markus Franziskus Müller; Christian Rummel; Marc Goodfellow; Kaspar Schindler (Brain Connect., 2014)

An optimal strategy for epilepsy surgery: Disruption of the rich-club? - Marinho A. Lopes; Mark P. Richardson; Eugenio Abela; Christian Rummel; Kaspar Schindler; Marc Goodfellow; John R. Terry (PLoS Comput. Biol., 2017)

Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. - Yannick Suter; Christian Rummel; Roland Wiest; Mauricio Reyes 001 (ISBI, 2018)

Characteristic Fluctuations Around Stable Attractor Dynamics Extracted from Highly Nonstationary Electroencephalographic Recordings. - Paola V. Olguín-Rodríguez; J. Daniel Arzate-Mena; Maria Corsi-Cabrera; Heidemarie Gast; Arlex Oscar Marín García; Johannes Mathis; Julieta Ramos Loyo; Irma Yolanda del Rio-Portilla; Christian Rummel; Kaspar Schindler; Markus Franziskus Müller (Brain Connect., 2018)

Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. - Michael Rebsamen; Christian Rummel; Ines Mürner-Lavanchy; Mauricio Reyes 001; Roland Wiest; Richard McKinley (ABCD-NP@MICCAI, 2019)

Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. - Richard McKinley; Rik Wepfer; Fabian Aschwanden; Lorenz Grunder; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Mauricio Reyes 001; Anke Salmen; Andrew Chan; Franca Wagner; et al. (CoRR, 2019)

Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks. - Richard McKinley; Michael Rebsamen; Raphael Meier; Mauricio Reyes 001; Christian Rummel; Roland Wiest (CoRR, 2019)

Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. - Richard McKinley; Lorenz Grunder; Rik Wepfer; Fabian Aschwanden; Tim Fischer 005; Christoph Friedli; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Mauricio Reyes 001; Anke Salmen; et al. (CoRR, 2019)

Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. - Yuji Zhao; Max A. Laansma; Eva M. van Heese; Conor Owens-Walton; Laura M. Parkes; Ines Debove; Christian Rummel; Roland Wiest; Fernando Cendes; Rachel Guimaraes; Clarissa Lin Yasuda; Jiun-Jie Wang; et al. (MLCN@MICCAI, 2022)

Stationary EEG pattern relates to large-scale resting state networks - An EEG-fMRI study connecting brain networks across time-scales. - J. Daniel Arzate-Mena; Eugenio Abela; Paola V. Olguín-Rodríguez; Wady Ríos-Herrera; Sarael Alcauter; Kaspar Schindler; Roland Wiest; Markus Franziskus Müller; Christian Rummel (NeuroImage, 2022)

CortexMorph: Fast Cortical Thickness Estimation via Diffeomorphic Registration Using VoxelMorph. - Richard McKinley; Christian Rummel (MICCAI (10), 2023)

Neural Correlates of Speech Comprehension in Normal Hearing Individuals and Cochlear Implant Users - An fNIRS Study in Quiet and Noisy Environments. - András Bálint; Wilhelm Wimmer; Christian Rummel; Marco Caversaccio; Stefan Weder (EMBC, 2024)

Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling. - Vinzenz Uhr; Ivan Diaz; Christian Rummel; Richard McKinley (CoRR, 2025)