Martin Reuter
Orcid: 0000-0002-2665-9693Affiliations:
- Massachusetts General Hospital, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
- Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- German Center for Neurodegenerative Diseases, Germany
- University of Hanover, Hannover, Germany (PhD 2006)
According to our database1,
Martin Reuter
authored at least 67 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites.
CoRR, 2024
2023
NeuroImage, August, 2023
Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts.
NeuroImage, 2023
CoRR, 2023
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI.
CoRR, 2023
CoRR, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
FastSurferVINN: Building resolution-independence into deep learning segmentation methods - A solution for HighRes brain MRI.
NeuroImage, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple Resolutions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
NeuroImage, 2021
Int. J. Imaging Syst. Technol., 2021
2020
NeuroImage, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI.
CoRR, 2019
2018
NeuroImage, 2018
NeuroImage, 2018
SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and Atrophy.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
2017
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas.
NeuroImage, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Joint reconstruction of white-matter pathways from longitudinal diffusion MRI data with anatomical priors.
NeuroImage, 2016
Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion.
NeuroImage, 2016
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.
NeuroImage, 2016
2015
Corrigendum to "Event time analysis of longitudinal neuroimage data" [NeuroImage 97 (15 August 2014) 9-18].
NeuroImage, 2015
Head motion during MRI acquisition reduces gray matter volume and thickness estimates.
NeuroImage, 2015
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.
NeuroImage, 2015
Corrigendum to "Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data" [NeuroImage 81 (1 November 2013) 358-370].
NeuroImage, 2015
Corrigendum to "Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models" [NeuroImage 66 (1 February 2013) 249-260].
NeuroImage, 2015
Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint.
NeuroImage, 2015
Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Cross-validation of serial optical coherence scanning and diffusion tensor imaging: A study on neural fiber maps in human medulla oblongata.
NeuroImage, 2014
Blockface histology with optical coherence tomography: A comparison with Nissl staining.
NeuroImage, 2014
Quantitative comparison of cortical surface reconstructions from MP2RAGE and multi-echo MPRAGE data at 3 and 7 T.
NeuroImage, 2014
Whole brain mapping of water pools and molecular dynamics with rotating frame MR relaxation using gradient modulated low-power adiabatic pulses.
NeuroImage, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data.
NeuroImage, 2013
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.
NeuroImage, 2013
Symmetric non-rigid image registration via an adaptive quasi-volume-preserving constraint.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
NeuroImage, 2012
2011
Proceedings of the 4th Eurographics Workshop on 3D Object Retrieval, 2011
2010
Hierarchical Shape Segmentation and Registration via Topological Features of Laplace-Beltrami Eigenfunctions.
Int. J. Comput. Vis., 2010
2009
Comput. Graph., 2009
Laplace-Beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis.
Comput. Aided Des., 2009
2008
Vis. Comput., 2008
2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the 2007 International Conference on Cyberworlds, 2007
2006
Comput. Aided Des., 2006
2005
Proceedings of the Tenth ACM Symposium on Solid and Physical Modeling 2005, 2005