Mark Mühlau

Orcid: 0000-0002-9545-2709

According to our database1, Mark Mühlau authored at least 16 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
A Lightweight Causal Model for Interpretable Subject-level Prediction.
CoRR, 2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR, 2023

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
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.
NeuroImage, 2022

An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation.
CoRR, 2022

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model.
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.
NeuroImage, 2021

2020
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis.
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.
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.
Comput. Stat. Data Anal., 2017

2016
Power estimation for non-standardized multisite studies.
NeuroImage, 2016

Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis.
NeuroImage, 2016

2012
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis.
NeuroImage, 2012

2005
Force level independent representations of predictive grip force-load force coupling: A PET activation study.
NeuroImage, 2005

The representation of predictive force control and internal forward models: evidence from lesion studies and brain imaging.
Cogn. Process., 2005


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