P.L.E.A. Bazin

Publications

• The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database
• Sharpness in motion corrected quantitative imaging at 7T
• Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI
• White matter microstructural changes in short-term learning of a continuous visuomotor sequence
• Multi-contrast anatomical subcortical structures parcellation
• Motor Sequences - Separating The Sequence From The Motor. A longitudinal rsfMRI Study
• Quantity and quality: Normative open-access neuroimaging databases
• Charting human subcortical maturation across the adult lifespan with in vivo 7 T MRI
• Cortical and subcortical contributions to interference resolution and inhibition – An fMRI ALE meta-analysis
• Predictive coding during action observation - a depth-resolved intersubject functional correlation study at 7T
• BigBrain: an ultrahigh-resolution 3D human brain model.
• A computational framework for ultra-high resolution cortical segmentation at 7 Tesla.
• Ultra-high 7T MRI of structural age-related changes of the subthalamic nucleus.
• Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis.
• A Multiple Object Geometric Deformable Model for Image Segmentation.
• A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
• Towards an understanding of the costs of fire
• Denoising High-field Multi-dimensional MRI with Local Complex PCA
• Resolving multisensory and attentional influences across cortical depth in sensory cortices
• Multi-contrast Anatomical Subcortical Structures Parcellation
• System for integrated neuroimaging analysis and processing of structure.
• Development and evaluation of an algorithm for the computer-assisted segmentation of the human hypothalamus on 7-Tesla magnetic resonance images.
• Layer-Specific Intracortical Connectivity Revealed with Diffusion MRI.
• Cortico-subthalamic white matter tract strength predicts interindividual efficacy in stopping a motor response.
• Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI.
• Consistent segmentation using a Rician classifier.
• Revisiting brain atrophy and its relationship to disability in multiple sclerosis.
• Direct segmentation of the major white matter tracts in diffusion tensor images.
• Simple paradigm for extra-cerebral tissue removal: algorithm and analysis.
• Quantifying Differences Between Primary Cortical Areas in Humans Based on Laminar Profiles in In-Vivo MRI Data
• Distance Transforms in Multi Channel MR Image Registration.
• Segmentation of brain images using adaptive atlases with application to ventriculomegaly.
• The Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software.
• Statistical Fusion of Surface Labels Provided by Multiple Raters.
• A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.
• Resolution of Crossing Fibers with Constrained Compressed Sensing using Traditional Diffusion Tensor MRI.
• Robust estimation of spatially variable noise fields.
• Estimation and application of spatially variable noise fields in diffusion tensor imaging.
• A RICIAN MIXTURE MODEL CLASSIFICATION ALGORITHM FOR MAGNETIC RESONANCE IMAGES.
• Digital Topology in Brain Image Segmentation and Registration
• Belief propagation based segmentation of white matter tracts in DTI.
• Homeomorphic brain image segmentation with topological and statistical atlases.
• A Multiple Geometric Deformable Model Framework for Homeomorphic 3D Medical Image Segmentation.
• A Multi-Compartment Segmentation Framework With Homeomorphic Level Sets.
• Topology correction of segmented medical images using a fast marching algorithm.
• Volumetric neuroimage analysis extensions for the MIPAV software package.
• Topology-preserving tissue classification of magnetic resonance brain images.
• Diffusion Tensor Estimation by Maximizing Rician Likelihood.
• Statistical and topological atlas based brain image segmentation.
• Digital Homeomorphisms in Deformable Registration
• Integration of geometric elements, Euclidean relations, and motion curves for parametric shape and motion estimation.
• Topology correction using fast marching methods and its application to brain segmentation.
• Topology preserving tissue classification with fast marching and topology templates.
• Digital Topology in Brain Imaging
• Motion Curves for Parametric Shape and Motion Estimation
• A JOINT REGISTRATION AND SEGMENTATION APPROACH TO SKULL STRIPPING
• Fifty Shades of Gray, Matter: Using Bayesian Priors to Improve the Power of Whole-Brain Voxel- and Connexelwise Inferences
• Fiber tractogrophy and tract segmentation in multiple sclerosis lesions
• Topology Smoothing for Segmentation and Surface Reconstruction
• Structure from Motion: A New Look from the Point of View of Invariant Theory
• Topology preserving brain tissue segmentation using graph cuts
• Topology-preserving STAPLE
• Fully automatic segmentation of the dentate nucleus using diffusion weighted images
• Topology preserving automatic segmentation of the spinal cord in magnetic resonance images
• Semi-automated generation of individual computational models of the human head and torso from MR images
• Laminar signal extraction over extended cortical areas by means of a spatial GLM
• Visceral obesity relates to deep white matter hyperintensities via inflammation
• High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps
• Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson's Disease Patients
• Multi-modal ultra-high resolution structural 7-Tesla MRI data repository
• A gradual increase of iron toward the medial‐inferior tip of the subthalamic nucleus
• A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults
• Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI
• Effects of aging on T1, T∗2, and QSM MRI values in the subcortex
• Denoising High-Field Multi-Dimensional MRI With Local Complex PCA
• Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 34 primate species
• Size and shape matter
• Lesion location matters: The relationships between white matter hyperintensities on cognition in the healthy elderly
• Nighres
• 3 versus 7 Tesla magnetic resonance imaging for parcellations of subcortical brain structures in clinical settings
• 7 Tesla MRI Followed by Histological 3D Reconstructions in Whole-Brain Specimens
• Superficial white matter imaging
• A flexible workflow for simulating transcranial electric stimulation in healthy and lesioned brains
• Whole-body somatotopic maps in the cerebellum revealed with 7T fMRI
• MP2RAGEME: T1 , T2* , and QSM mapping in one sequence at 7 tesla
• Effects of resveratrol on memory performance, hippocampus connectivity and microstructure in older adults - A randomized controlled trial
• Motor sequences; separating the sequence from the motor. A longitudinal rsfMRI study
• A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data
• Quantitative Susceptibility Mapping of Amyloid-β Aggregates in Alzheimer's Disease with 7T MR
• Mapping the human lateral geniculate nucleus and its cytoarchitectonic subdivisions using quantitative MRI
• fMRI protocol optimization for simultaneously studying small subcortical and cortical areas at 7 T
• Predictive coding during action observation – A depth-resolved intersubject functional correlation study at 7T
• A high-resolution multi-shell 3T diffusion magnetic resonance imaging dataset as part of the Amsterdam Ultra-high field adult lifespan database (AHEAD)
• A unified 3D map of microscopic architecture and MRI of the human brain
• Swallow Tail Sign: Revisited
• Size and shape matter: The impact of voxel geometry on the identification of small nuclei
• A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine.
• The influence of white matter lesions on the electric field in transcranial electric stimulation
• A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine
• Superficial white matter imaging: Contrast mechanisms and whole-brain in vivo mapping
• Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI
• 3 versus 7 Tesla magnetic resonance imaging for parcellations of subcortical brain structures
• In-vivo magnetic resonance imaging (MRI) of laminae in the human cortex
• Patient-Specific RF Safety Assessment in MRI: Progress in Creating Surface-Based Human Head and Shoulder Models
• Assessing Quantitative MRI Techniques using Multimodal Comparisons
• Age-related mapping of intracortical myelin from late adolescence to middle adulthood using T 1 -weighted MRI
• Large-Scale Gradients in Human Cortical Organization
• Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI
• Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics
• Body Topography Parcellates Human Sensory and Motor Cortex
• Human cerebellar sub-millimeter diffusion imaging reveals the motor and non-motor topography of the dentate nucleus
• Intensity standardisation of 7T MR images for intensity-based segmentation of the human hypothalamus
• Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies
• Physical Exercise and Spatial Training: A Longitudinal Study of Effects on Cognition, Growth Factors, and Hippocampal Plasticity
• Hypermyelination of the left auditory cortex in developmental dyslexia
• Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain Cytoarchitectonics
• Identifying intracortical partial voluming effects using cortical surface normals in quantitative MRI T1 maps sensitive to microstructure
• Longitudinal multiple sclerosis lesion segmentation data resource
• Parameterization of White Matter Manifold-Like Structures Using Principal Surfaces
• Group-wise analysis on myelination profiles of cerebral cortex using the second eigenvector of Laplace-Beltrami operator
• Vessel segmentation from quantitative susceptibility maps for local oxygenation venography
• Open Science CBS Neuroimaging Repository: Sharing ultra-high-field MR images of the brain
• Effects of the geometry and size of the cerebrospinal fluid on MRI transmit and safety efficiencies at 300 MHz
• Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity
• A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI
• Prospective slice-by-slice motion correction reduces false positive activations in fMRI with task-correlated motion
• Reconstruction of the human cerebral cortex robust to white matter lesions: Method and validation
• A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex
• Mapping of the internal structure of human habenula with ex vivo MRI at 7T
• Assessing intracortical myelin in the living human brain using myelinated cortical thickness
• Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
• A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI
• Influence of cerebrospinal fluid on specific absorption rate generated by 300 MHz MRI transmit array
• Comparison of 7T 16-channel dual-row transmit arrays
• Anatomically motivated modeling of cortical laminae
• Dorsomedial striatum involvement in regulating conflict between current and presumed outcomes
• Building a high resolution surface-based human head and torso model for evaluation of specific absorption rates in MRI
• Multi-contrast multi-scale surface registration for improved alignment of cortical areas
• Longitudinal analysis of the preterm cortex using multi-modal spectral matching
• Unsupervised tissue classification
• Toads: Topology-preserving, anatomy-driven segmentation
• Automatic estimation of midsagittal plane and AC-PC alignment based on nonrigid registration
• Simultaneous registration and tissue classification using clustering algorithms
• Shape and motion estimation from geometry and motion modeling
• Erratum: The Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software (Neuroinformatics DOI: 10.1007/s12021-009- 9061-2)
• Free software tools for atlas-based volumetric neuroimage analysis
• Belief propagation based segmentation of white matter tracts in DTI
• Two computer vision-based tracking applications solved using a robust parallel optimizer
• Automated reconstruction of the cerebral cortex in multiple sclerosis patients
• Diffusion tensor estimation by maximizing rician likelihood
• Segmentation of brain images using adaptive atlases with application to ventriculomegaly
• A fiber tracking method guided by volumetric tract segmentation
• Topology preserving tissue classification with fast marching and topology templates
• BrainIACS : A system for web-based medical image processing
• Statistical and topological atlas based brain image segmentation
• Parametric scene reduction algorithm from geometric relations
• Longitudinal changes in diffusion tensor-based quantitative MRI in multiple sclerosis
• Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation
• Intensity inhomogeneity correction of magnetic resonance images using patches
• Topology correction using fast marching methods and its application to brain segmentation
• Mixed methodology in human brain research: integrating MRI and histology
• Echoes from intrinsic connectivity networks in the subcortex
• Echoes from Intrinsic Connectivity Networks in the Subcortex
• Decreased long‐range temporal correlations in the resting‐state functional magentic resonance imaging blood‐oxygen‐level‐dependent signal reflect motor sequence learning up to 2 weeks following training
• A Comparative Machine Learning Study of Connectivity-Based Biomarkers of Schizophrenia
• Decreased long‐range temporal correlations in the resting‐state functional magnetic resonance imaging blood‐oxygen‐level‐dependent signal reflect motor sequence learning up to 2 weeks following training
• Tempo-Dependent Changes in Neural Responses to Rhythm as a Marker of Entrainment
• Exploring Individual Differences in Structural Connectivity Underlying Rhythmic Abilities
• Modelling Flexible Rhythm Prediction in Continuous Time
• Modeling venous bias in resting state functional MRI metrics
• Exploring working memory updating processes of the human subcortex using 7T MRI
• Exploring working memory updating processes of the human subcortex using 7 Tesla fMRI
• Investigating working memory updating processes of the human subcortex using 7T MRI
• Investigating working memory updating processes of the human subcortex using 7 Tesla fMRI