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Martin Reuter

Harvard University · US
Area of research
Cognitive Neuroscience · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Neurotransmitter Receptor Influence on Behavior, and Neural and Behavioral Psychology Studies.
h-index
69
citations
21,924
works
579
NIH funding
primary concept
email

Recent publications

Attention networks and the intrinsic network structure of the human brain
Human Brain Mapping 2021cited by 60position: middledoi
Background independent field quantization with sequences of gravity-coupled approximants. II. Metric fluctuations
Physical review. D/Physical review. D. 2021cited by 19position: lastdoi
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline
NeuroImage 2020cited by 643position: lastdoi
Background independent field quantization with sequences of gravity-coupled approximants
Physical review. D/Physical review. D. 2020cited by 22position: lastdoi
Why the Cosmological Constant Seems to Hardly Care About Quantum Vacuum Fluctuations: Surprises From Background Independent Coarse Graining
Frontiers in Physics 2020cited by 10position: lastdoi
10Kin1day: A Bottom-Up Neuroimaging Initiative
Frontiers in Neurology 2019cited by 23position: middledoi
Cognitive Performance in Young APOE ε4 Carriers: A Latent Variable Approach for Assessing the Genotype–Phenotype Relationship
Behavior Genetics 2019cited by 11position: middledoi
Network Neuroscience and Personality
Personality Neuroscience 2018cited by 64position: lastdoi
CSF total tau levels are associated with hippocampal novelty irrespective of hippocampal volume
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 2018cited by 48position: middledoi
The salience network and human personality: Integrity of white matter tracts within anterior and posterior salience network relates to the self-directedness character trait
Brain Research 2018cited by 13position: middledoi
Mindboggling morphometry of human brains
PLoS Computational Biology 2017cited by 801position: middledoi
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas
NeuroImage 2017cited by 483position: middledoi
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
NeuroImage 2017cited by 363position: middledoi
Advantages of cortical surface reconstruction using submillimeter 7 T MEMPRAGE
NeuroImage 2017cited by 115position: middledoi
Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala
Brain 2016cited by 152position: middledoi
Domain adaptation for Alzheimer's disease diagnostics
NeuroImage 2016cited by 114position: lastdoi
Propagating gravitons vs. ‘dark matter ’ in asymptotically safe quantum gravity
2016cited by 15position: last
BrainPrint: A discriminative characterization of brain morphology
NeuroImage 2015cited by 179position: lastdoi
Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion
NeuroImage 2015cited by 154position: middledoi
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge
NeuroImage 2015cited by 71position: middledoi
Joint reconstruction of white-matter pathways from longitudinal diffusion MRI data with anatomical priors
NeuroImage 2015cited by 56position: middledoi
Head motion during MRI acquisition reduces gray matter volume and thickness estimates
NeuroImage 2014cited by 514position: firstdoi
PRECREST: A phase II prevention and biomarker trial of creatine in at-risk Huntington disease
Neurology 2014cited by 91position: middledoi
Cross-validation of serial optical coherence scanning and diffusion tensor imaging: A study on neural fiber maps in human medulla oblongata
NeuroImage 2014cited by 74position: middledoi
BrainPrint : Identifying Subjects by Their Brain
Lecture notes in computer science 2014cited by 29position: lastdoi
Gaussian Process Interpolation for Uncertainty Estimation in Image Registration
Lecture notes in computer science 2014cited by 10position: middledoi
Physical Exercise during Encoding Improves Vocabulary Learning in Young Female Adults: A Neuroendocrinological Study
PLoS ONE 2013cited by 152position: middledoi
Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data
NeuroImage 2013cited by 133position: middledoi
Quantitative comparison of cortical surface reconstructions from MP2RAGE and multi-echo MPRAGE data at 3 and 7 T
NeuroImage 2013cited by 108position: middledoi
On the physical mechanism underlying asymptotic safety
Journal of High Energy Physics 2013cited by 51position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Bruce Fischl · Harvard University12 papers (2012–2020)Christian Wachinger · Massachusetts Institute of Technology6 papers (2014–2017)André van der Kouwe · Harvard University4 papers (2013–2017)Sebastian Markett · Humboldt-Universität zu Berlin3 papers (2018–2021)Polina Golland · Vanderbilt University3 papers (2014–2015)Randy L. Buckner · Harvard University2 papers (2014–2015)H. Diana Rosas · Rome Foundation2 papers (2014–2015)Maximilian Becker · Johannes Gutenberg University Mainz2 papers (2020–2021) · 2 papers (2012–2013) · 2 papers (2012–2013)David H. Salat · Harvard University2 papers (2014–2016)Anastasia Yendiki · McGovern Institute for Brain Research2 papers (2014–2015)M. Dylan Tisdall · California University of Pennsylvania2 papers (2014–2015)Paul Wilkens · Takeda (Japan)2 papers (2014–2015)Mert R. Sabuncu · Cornell University2 papers (2012–2013)Abid Qureshi · University of Kansas2 papers (2014–2015)Jon̈athan R. Polimeni · Harvard University2 papers (2013–2017)Bernd Weber · University Hospital Heidelberg1 papers (2018–2018)Koen Van Leemput · Aalto University1 papers (2017–2017) · 1 papers (2017–2017)