The Lab for Neuroimaging and Neuroinformatics (LNN) @ UCPH
The Lab for Neuroimaging and Neuroinformatics (LNN) @ UCPH
About
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Martin Norgaard
Assistant Professor
Department of Computer Science, University of Copenhagen
Molecular Imaging Branch, National Institute of Mental Health, US
Center for Reproducible Neuroscience, Stanford University, US
Interests
Machine learning
Neuroimage analysis
Neuroinformatics
Latest
A Potential Biomarker of Neuroinflammation
Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework
A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses
Associations between behavioral and emotional problems and brain morphology in early adolescence: A neuroimaging study using the NRU Serotonin Atlas
PET2BIDS: a library for converting Positron Emission Tomography data to BIDS
Quantifying the impact of preprocessing strategies on statistical analyses
Mapping neurotransmitter systems to the structural and functional organization of the human neocortex
PET-BIDS, an extension to the brain imaging data structure for positron emission tomography
A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABAA receptors
Characterisation of children's head motion for Magnetic Resonance Imaging with and without general anaesthesia
The positron emission tomography brain imaging data structure (PET-BIDS) extension: A new standard for sharing PET data
Different preprocessing strategies lead to different conclusions: a [11C] DASB-PET reproducibility study
Estimating PET partial volume full-width-half-maximum directly from human data
False positive rates in positron emission tomography (PET) voxelwise analyses
Cerebral serotonin transporter measurements with [11C] DASB: a review on acquisition and preprocessing across 21 PET centres
Optimization of preprocessing strategies in positron emission tomography (PET) neuroimaging: a [11C] DASB PET study
P. 263 The impact of different preprocessing strategies in positron emission tomography: a [11C] DASB Study
Preprocessing, prediction and significance: framework and application to brain imaging
The impact of preprocessing pipeline choice in univariate and multivariate analyses of pet data
Brain Networks Implicated in Seasonal Affective Disorder: A Neuroimaging PET Study of the Serotonin Transporter
Estimation of Regional Seasonal Variations in SERT-levels using the FreeSurfer PET pipeline: a reproducibility study
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