Mark Mühlau

According to our database, Mark Mühlau authored at least 19 papers between 2005 and 2025.

Collaborative distances:

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

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, Mark Mühlau

NeuroImage, 2025

A lightweight generative model for interpretable subject-level prediction.

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

Medical Image Anal., 2025

2024

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

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

A Lightweight Causal Model for Interpretable Subject-level Prediction.

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

CoRR, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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, Christine Preibisch

NeuroImage, 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

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model.

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

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

2020

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2018

Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation.

Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017

Fitting large-scale structured additive regression models using Krylov subspace methods.

Paul Schmidt, Mark Mühlau, Volker J. Schmid

Comput. Stat. Data Anal., 2017

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, Jason C. Crane, Sandra D'Alfonso, Philippe Demaerel, Benedicte Dubois, Massimo Filippi, Vinzenz Fleischer, Bertrand Fontaine, Laura Gaetano, An Goris, Christiane Graetz, Adriane Gröger, Sergiu Groppa, David A. Hafler, Hanne F. Harbo, Bernhard Hemmer, Kesshi Jordan, Ludwig Kappos, Gina Kirkish, Sara Llufriu, Stefano Magon, Filippo Martinelli-Boneschi, Jacob L. McCauley, Xavier Montalban, Mark Mühlau, Daniel Pelletier, Pradip M. Pattany, Margaret A. Pericak-Vance, Isabelle Cournu-Rebeix, Maria Assunta Rocca, Alex Rovira, Regina Schlaeger, Albert Saiz, Till Sprenger, Alessandro Stecco, Bernard M. J. Uitdehaag, Pablo Villoslada, Mike P. Wattjes, Howard L. Weiner, Jens Wuerfel, Claus Zimmer, Frauke Zipp, Stephen L. Hauser, Jorge R. Oksenberg, Roland G. Henry

NeuroImage, 2016

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, Mark Mühlau

NeuroImage, 2016

2012

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

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

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