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2020 – today
- 2023
[c5]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:
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. MICCAI (8) 2023: 173-183- [c4]Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze:
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. MICCAI (8) 2023: 226-236 - [i7]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:
Multi-contrast MRI Super-resolution via Implicit Neural Representations. CoRR abs/2303.15065 (2023) - [i6]Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput:
A Lightweight Causal Model for Interpretable Subject-level Prediction. CoRR abs/2306.11107 (2023) - [i5]Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze:
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. CoRR abs/2308.16863 (2023) - 2022
- [j8]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:
Comparing myelin-sensitive magnetic resonance imaging measures and resulting g-ratios in healthy and multiple sclerosis brains. NeuroImage 264: 119750 (2022) - [c3]Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput:
Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. MICCAI (8) 2022: 448-458 - [i4]Stefano Cerri, Douglas N. Greve, Andrew Hoopes, Henrik Lundell, Hartwig R. Siebner, Mark Mühlau, Koen Van Leemput:
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation. CoRR abs/2207.04534 (2022) - 2021
- [j7]Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput:
A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis. NeuroImage 225: 117471 (2021) - 2020
- [c2]Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput:
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. MLCN/RNO-AI@MICCAI 2020: 119-128 - [i3]Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput:
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR abs/2005.05135 (2020) - [i2]Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput:
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR abs/2008.05117 (2020)
2010 – 2019
- 2018
- [c1]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. BrainLes@MICCAI (1) 2018: 199-207 - [i1]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. CoRR abs/1807.05153 (2018) - 2017
- [j6]Paul Schmidt, Mark Mühlau, Volker J. Schmid:
Fitting large-scale structured additive regression models using Krylov subspace methods. Comput. Stat. Data Anal. 105: 59-75 (2017) - 2016
- [j5]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:
Power estimation for non-standardized multisite studies. NeuroImage 134: 281-294 (2016) - [j4]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:
Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis. NeuroImage 142: 188-197 (2016) - 2012
- [j3]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:
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. NeuroImage 59(4): 3774-3783 (2012)
2000 – 2009
- 2005
- [j2]Joachim Hermsdörfer, D. A. Nowak, A. Lee, K. Rost, Dagmar Timmann, Mark Mühlau, Henning Boecker:
The representation of predictive force control and internal forward models: evidence from lesion studies and brain imaging. Cogn. Process. 6(1): 48-58 (2005) - [j1]Henning Boecker, A. Lee, Mark Mühlau, Andres O. Ceballos-Baumann, Afra Ritzl, Mary E. Spilker, C. Marquart, Joachim Hermsdörfer:
Force level independent representations of predictive grip force-load force coupling: A PET activation study. NeuroImage 25(1): 243-252 (2005)
Coauthor Index
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