Martin Reuter

Orcid: 0000-0002-2665-9693

Affiliations:
  • 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 66 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
An automated, geometry-based method for hippocampal shape and thickness analysis.
NeuroImage, August, 2023

Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts.
NeuroImage, 2023

VINNA for Neonates - Orientation Independence through Latent Augmentations.
CoRR, 2023

FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI.
CoRR, 2023

An automated, geometry-based method for the analysis of hippocampal thickness.
CoRR, 2023

Estimating Head Motion from Mr-Images.
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

Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?
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
Automated olfactory bulb segmentation on high resolutional T2-weighted MRI.
NeuroImage, 2021

Rapid head-pose detection for automated slice prescription of fetal-brain MRI.
Int. J. Imaging Syst. Technol., 2021

Cover Image.
Int. J. Imaging Syst. Technol., 2021

2020
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline.
NeuroImage, 2020

Learning Anatomical Segmentations for Tractography from Diffusion MRI.
CoRR, 2020

Abstract: FastSurfer.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Parameter Space CNN for Cortical Surface Segmentation.
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
Advantages of cortical surface reconstruction using submillimeter 7 T MEMPRAGE.
NeuroImage, 2018

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
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

Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Complex Fully Convolutional Neural Networks for MR Image Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

2017
Mindboggling morphometry of human brains.
PLoS Comput. Biol., 2017

High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas.
NeuroImage, 2017

Mid-space-independent deformable image registration.
NeuroImage, 2017

Latent Processes Governing Neuroanatomical Change in Aging and Dementia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Abtract: Shape Analysis in Human Brain MRI.
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

Domain adaptation for Alzheimer's disease diagnostics.
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
BrainPrint: A discriminative characterization of brain morphology.
NeuroImage, 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

Event time analysis of longitudinal neuroimage data.
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

MRI parcellation of ex vivo medial temporal lobe.
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

Gaussian Process Interpolation for Uncertainty Estimation in Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

BrainPrint : Identifying Subjects by Their Brain.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
A comparison of methods for non-rigid 3D shape retrieval.
Pattern Recognit., 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
Within-subject template estimation for unbiased longitudinal image analysis.
NeuroImage, 2012

2011
Avoiding asymmetry-induced bias in longitudinal image processing.
NeuroImage, 2011

SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes.
Proceedings of the 4th Eurographics Workshop on 3D Object Retrieval, 2011

2010
Highly accurate inverse consistent registration: A robust approach.
NeuroImage, 2010

Hierarchical Shape Segmentation and Registration via Topological Features of Laplace-Beltrami Eigenfunctions.
Int. J. Comput. Vis., 2010

2009
Discrete Laplace-Beltrami operators for shape analysis and segmentation.
Comput. Graph., 2009

Laplace-Beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis.
Comput. Aided Des., 2009

2008
Solving nonlinear polynomial systems in the barycentric Bernstein basis.
Vis. Comput., 2008

2007
Laplace spectra as fingerprints for image recognition.
Comput. Aided Des., 2007

Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Global Medical Shape Analysis Using the Volumetric Laplace Spectrum.
Proceedings of the 2007 International Conference on Cyberworlds, 2007

2006
Laplace spectra for shape recognition.
PhD thesis, 2006

Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids.
Comput. Aided Des., 2006

2005
Laplace-spectra as fingerprints for shape matching.
Proceedings of the Tenth ACM Symposium on Solid and Physical Modeling 2005, 2005


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