The representation of predictive force control and internal forward models: evidence from lesion studies and brain imaging. - Joachim Hermsdörfer; D. A. Nowak; A. Lee; K. Rost; Dagmar Timmann; Mark Mühlau; Henning Boecker (Cogn. Process., 2005)

Force level independent representations of predictive grip force-load force coupling: A PET activation study. - Henning Boecker; A. Lee; Mark Mühlau; Andres O. Ceballos-Baumann; Afra Ritzl; Mary E. Spilker; C. Marquart; Joachim Hermsdörfer (NeuroImage, 2005)

An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. - Paul Schmidt; Christian Gaser; Milan Arsic; Dorothea Buck; Annette Förschler; Achim Berthele; Muna Hoshi; Rüdiger Ilg; Volker J. Schmid; Claus Zimmer; Bernhard Hemmer; Mark Mühlau (NeuroImage, 2012)

Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis. - Viola Biberacher; Paul Schmidt; Anisha Keshavan; Christine C. Boucard; Ruthger Righart; Philipp G. Sämann; Christine Preibisch; Daniel Fröbel; Lilian Aly; Bernhard Hemmer; Claus Zimmer; Roland G. Henry; et al. (NeuroImage, 2016)

Power estimation for non-standardized multisite studies. - Anisha Keshavan; Friedemann Paul; Mona K. Beyer; Alyssa H. Zhu; Nico Papinutto; Russell T. Shinohara; William Stern; Michael Amann; Rohit Bakshi; Antje Bischof; Alessandro Carriero; Manuel Comabella; et al. (NeuroImage, 2016)

Fitting large-scale structured additive regression models using Krylov subspace methods. - Paul Schmidt; Mark Mühlau; Volker J. Schmid (Comput. Stat. Data Anal., 2017)

Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. - Hongwei Li 004; Jianguo Zhang 001; Mark Mühlau; Jan Kirschke; Bjoern H. Menze (BrainLes@MICCAI (1), 2018)

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. - Stefano Cerri; Andrew Hoopes; Douglas N. Greve; Mark Mühlau; Koen Van Leemput (MLCN/RNO-AI@MICCAI, 2020)

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis. - Stefano Cerri; Oula Puonti; Dominik S. Meier; Jens Wuerfel; Mark Mühlau; Hartwig R. Siebner; Koen Van Leemput (NeuroImage, 2021)

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (MICCAI (8), 2022)

An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation. - Stefano Cerri; Douglas N. Greve; Andrew Hoopes; Henrik Lundell; Hartwig R. Siebner; Mark Mühlau; Koen Van Leemput (CoRR, 2022)

Comparing myelin-sensitive magnetic resonance imaging measures and resulting g-ratios in healthy and multiple sclerosis brains. - Ronja C. Berg; Aurore Menegaux; Thomas Amthor; Guillaume Gilbert; Maria Mora; Sarah Schlaeger; Viola Pongratz; Markus Lauerer; Christian Sorg; Mariya Doneva; Irene M. Vavasour; Mark Mühlau; et al. (NeuroImage, 2022)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (MICCAI (8), 2023)

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. - Chinmay Prabhakar; Hongwei Bran Li; Johannes C. Paetzold; Timo Loehr; Chen Niu; Mark Mühlau; Daniel Rueckert; Benedikt Wiestler; Bjoern H. Menze (MICCAI (8), 2023)

Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (CoRR, 2023)

A Lightweight Causal Model for Interpretable Subject-level Prediction. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (CoRR, 2023)

Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation. - Robert Graf; Hendrik Kristian Möller; Julian McGinnis; Sebastian Rühling; Maren Weihrauch; Matan Atad; Suprosanna Shit; Bjoern H. Menze; Mark Mühlau; Johannes C. Paetzold; Daniel Rueckert; Jan Kirschke (MIDL, 2024)

A lightweight generative model for interpretable subject-level prediction. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (Medical Image Anal., 2025)

Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis. - Tun Wiltgen; Julian McGinnis; Ronja C. Berg; Cui Ci Voon; Oula Puonti; Katrin Giglhuber; Carl Ganter; Claus Zimmer; Bernhard Hemmer; Benedikt Wiestler; Jan Kirschke; Christine Preibisch; et al. (NeuroImage, 2025)