Vladimir S Fonov

发表

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Gang Li, Dinggang Shen, Guoyan Zheng, 2019, IEEE Transactions on Medical Imaging.

The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts

Maxime Descoteaux, April Khademi, Stephen C Strother, 2018, Journal of magnetic resonance imaging : JMRI.

Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis

Michèle Allard, Azar Zandifar, Pierrick Coupé, 2015, Human brain mapping.

Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge

D. Louis Collins, Sébastien Ourselin, M. Jorge Cardoso, 2015, NeuroImage.

Spatio-Temporal Regularization for Longitudinal Registration to Subject-Specific 3d Template

D. Louis Collins, Nicolas Guizard, Kunio Nakamura, 2015, PloS one.

Interhemispheric coupling improves the brain's ability to perform low cognitive demand tasks in Alzheimer's disease and high cognitive demand tasks in normal aging.

Vladimir S Fonov, M. Petrides, O. Monchi, 2013, Neuropsychology.

White Matter Abnormalities and Structural Hippocampal Disconnections in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease

Vladimir S Fonov, A. Dagher, A. Shmuel, 2013, PloS one.

Neuroanatomical correlates of behavioral rating versus performance measures of working memory in typically developing children and adolescents.

Alan C. Evans, Matthew T. White, Vladimir S Fonov, 2015, Neuropsychology.

PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space

Julien Cohen-Adad, D. Louis Collins, Vladimir Fonov, 2018, NeuroImage.

SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data

Julien Cohen-Adad, D. Louis Collins, Virginie Callot, 2017, NeuroImage.

Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis.

Thomas E. Nichols, J. M. Mateos-Pérez, Ivanei E. Bramati, 2017, The lancet. Psychiatry.

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

Vladimir Fonov, Pierrick Coupé, Andrés Marino Álvarez-Meza, 2015, NeuroImage.

Total and regional brain volumes in a population-based normative sample from 4 to 18 years: the NIH MRI Study of Normal Brain Development.

Alan C. Evans, Vladimir S Fonov, P. Basser, 2012, Cerebral cortex.

Network structure of brain atrophy in de novo Parkinson's disease

Alan C. Evans, Vladimir S Fonov, D. Collins, 2015, eLife.

CERES: A new cerebellum lobule segmentation method

M. Mallar Chakravarty, Vladimir Fonov, Pierrick Coupé, 2017, NeuroImage.

Rapid automatic segmentation of the human cerebellum and its lobules (RASCAL)—Implementation and application of the patch‐based label‐fusion technique with a template library to segment the human cerebellum

Vladimir Fonov, Julien Doyon, D Louis Collins, 2014, Human brain mapping.

Unbiased average age-appropriate atlases for pediatric studies

D. Louis Collins, Alan C. Evans, Vladimir Fonov, 2011, NeuroImage.

A variation in the infant oxytocin receptor gene modulates infant hippocampal volumes in association with sex and prenatal maternal anxiety

Satu J. Lehtola, Vladimir S Fonov, T. Paunio, 2020, Psychiatry Research: Neuroimaging.

Framework for integrated MRI average of the spinal cord white and gray matter: The MNI–Poly–AMU template

Vladimir S Fonov, H. Benali, M. Sdika, 2014, NeuroImage.

Subcortical Brain Development in Autism and Fragile X Syndrome: Evidence for Dynamic, Age- and Disorder-Specific Trajectories in Infancy.

Alan C. Evans, Jessica B. Girault, Vladimir S Fonov, 2022, The American journal of psychiatry.

Early brain development in infants at high risk for autism spectrum disorder

Alan C. Evans, Vladimir S Fonov, A. Estes, 2017, Nature.

Validation of a Regression Technique for Segmentation of White Matter Hyperintensities in Alzheimer’s Disease

D. Louis Collins, Owen T. Carmichael, Pedro Rosa-Neto, 2017, IEEE Transactions on Medical Imaging.

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Ismail Ben Ayed, Vladimir S Fonov, J. Pluim, 2019, IEEE Transactions on Medical Imaging.

Non-local MRI upsampling

D. Louis Collins, Pierrick Coupé, Vladimir Fonov, 2010, Medical Image Anal..

Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease

D. Louis Collins, Pierrick Coupé, Vladimir Fonov, 2012, NeuroImage.

Partial Support for an Interaction Between a Polygenic Risk Score for Major Depressive Disorder and Prenatal Maternal Depressive Symptoms on Infant Right Amygdalar Volumes.

Satu J. Lehtola, Vladimir S Fonov, T. Paunio, 2020, Cerebral cortex.

Rostral-Caudal Hippocampal Functional Convergence Is Reduced Across the Alzheimer’s Disease Spectrum

Vladimir S Fonov, M. Chakravarty, Pierre Bellec, 2019, Molecular Neurobiology.

Resting state executive control network adaptations in amnestic mild cognitive impairment

Vladimir S Fonov, A. Dagher, A. Shmuel, 2013, Alzheimer's & Dementia.

Newborn amygdalar volumes are associated with maternal prenatal psychological distress in a sex-dependent way

Alan C. Evans, Satu J. Lehtola, Vladimir S Fonov, 2020, NeuroImage: Clinical.

An augmented-reality system prototype for guiding transcranial Doppler ultrasound examination

Vladimir S Fonov, Yiming Xiao, B. Aubert-Broche, 2018, Multimedia Tools and Applications.

Amygdalar reactivity is associated with prefrontal cortical thickness in a large population-based sample of adolescents

Alan C. Evans, Matthew D. Albaugh, Vladimir S Fonov, 2019, PloS one.

Network connectivity determines cortical thinning in early Parkinson’s disease progression

Vladimir S Fonov, A. Griffa, P. Hagmann, 2017, Nature Communications.

A stereotaxic, population-averaged T1w ovine brain atlas including cerebral morphology and tissue volumes

Johannes Boltze, Vladimir S. Fonov, Stephen Frey, 2015, Front. Neuroanat..

BEaST: Brain extraction based on nonlocal segmentation technique

Vladimir S Fonov, Shafik N. Wassef, P. Coupé, 2012, NeuroImage.

Nonrigid Registration of Ultrasound and MRI Using Contextual Conditioned Mutual Information

D. Louis Collins, Vladimir Fonov, Hassan Rivaz, 2014, IEEE Transactions on Medical Imaging.

Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation

Vladimir S Fonov, P. Coupé, J. Pruessner, 2011, NeuroImage.

Locus coeruleus integrity is related to an exploitation-based decision-making bias in older adulthood

Vladimir S Fonov, R. N. Spreng, P. Rosa-Neto, 2024, Proceedings of the National Academy of Sciences of the United States of America.

A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood

D. Louis Collins, Vladimir Fonov, Pierrick Coupé, 2013, NeuroImage.

Childhood cognitive ability accounts for associations between cognitive ability and brain cortical thickness in old age

L Penke, C Murray, N A Royle, 2013, Molecular Psychiatry.

Detecting Alzheimer’s disease by morphological MRI using hippocampal grading and cortical thickness

D. Louis Collins, Pierrick Coupé, Vladimir Fonov, 2014, MICCAI 2014.

Atypical co‐development of the thalamus and cortex in autism: Evidence from age‐related white–gray contrast change

Vladimir S Fonov, G. Bezgin, Alan C Evans, 2024, Human brain mapping.

Increased Brain Volumetric Measurement Precision from Multi-Site 3D T1-weighted 3T Magnetic Resonance Imaging by Correcting Geometric Distortions

Melissa F. Holmes, Gregory M. Szilagyi, Seyyed M. H. Haddad, 2021, bioRxiv.

The EADC-ADNI harmonized protocol for hippocampal segmentation: A validation study

D. Louis Collins, Azar Zandifar, Jens C. Pruessner, 2018, NeuroImage.

Assessment of white matter hyperintensity severity using multimodal magnetic resonance imaging

Gabriel A. Devenyi, Vladimir S Fonov, Alexa Pichet Binette, 2023, Brain communications.

Cortical and subcortical T1 white/gray contrast, chronological age, and cognitive performance

D. Louis Collins, Alan C. Evans, Vladimir Fonov, 2019, NeuroImage.

Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning

Vladimir Fonov, Pierrick Coupé, D Louis Collins, 2013, NeuroImage.

Human Brain Myelination from Birth to 4.5 Years

D. Louis Collins, Vladimir Fonov, G. Bruce Pike, 2008, MICCAI.

Identifying incipient dementia individuals using machine learning and amyloid imaging

Vladimir S Fonov, S. Gauthier, P. Rosa-Neto, 2017, Neurobiology of Aging.

QRATER: a collaborative and centralized imaging quality control web-based application

Vladimir S Fonov, D. Collins, V. Fonov, 2022, bioRxiv.

Quantitative trait variation in ASD probands and toddler sibling outcomes at 24 months

Jessica B. Girault, Vladimir S Fonov, A. Estes, 2020, Journal of Neurodevelopmental Disorders.

Monophasic demyelination reduces brain growth in children

Vladimir S Fonov, D. Arnold, A. Bar-Or, 2017, Neurology.

Impaired growth of the cerebellum in pediatric-onset acquired CNS demyelinating disease

Vladimir S Fonov, D. Arnold, V. Fonov, 2016, Multiple sclerosis.

Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity

Guido Gerig, D. Louis Collins, Robert T. Schultz, 2016, NeuroImage.

Contribution of the cerebellum to cognitive performance in children and adolescents with multiple sclerosis

Vladimir Fonov, Katrin Weier, Douglas L Arnold, 2016, Multiple sclerosis.

The effect of template choice on morphometric analysis of pediatric brain data

Alan C. Evans, Vladimir S Fonov, V. Fonov, 2009, NeuroImage.

Title: Prediction of Alzheimer’s disease in subjects with mild cognitive impairment from the ADNI cohort

Vladimir S Fonov, P. Coupé, J. Pruessner, 2012 .

Onset of multiple sclerosis before adulthood leads to failure of age-expected brain growth

Vladimir S Fonov, D. Arnold, V. Fonov, 2014, Neurology.

Is It Possible to Differentiate the Impact of Pediatric Monophasic Demyelinating Disorders and Multiple Sclerosis After a First Episode of Demyelination?

D. Louis Collins, Vladimir Fonov, Douglas L. Arnold, 2014, STIA.

Reduced head and brain size for age and disproportionately smaller thalami in child-onset MS

Vladimir S Fonov, D L Collins, V. Fonov, 2012, Neurology.

Age‐specific associations between oestradiol, cortico‐amygdalar structural covariance, and verbal and spatial skills

Matthew D. Albaugh, Vladimir S Fonov, V. Fonov, 2019, Journal of neuroendocrinology.

Jacobian integration method increases the statistical power to measure gray matter atrophy in multiple sclerosis

Vladimir S Fonov, D. Collins, D. Arnold, 2013, NeuroImage: Clinical.

Loss of symmetric cell division of apical neural progenitors drives DENND5A-related developmental and epileptic encephalopathy

Rebecca C. Spillmann, Thomas M. Durcan, Vladimir S Fonov, 2024, Nature communications.

Developmental trajectories of neuroanatomical alterations associated with the 16p11.2 Copy Number Variations

Vladimir Fonov, Borja Rodríguez-Herreros, Clara Moreau, 2019, NeuroImage.

Cyberinfrastructure for Open Science at the Montreal Neurological Institute

D. Louis Collins, Vladimir Fonov, Tristan Glatard, 2017, Front. Neuroinform..

Loss of symmetric cell division of apical neural progenitors drives DENND5A-related developmental and epileptic encephalopathy

Vladimir S Fonov, Undiagnosed Diseases Network, C. Saunders, 2022, medRxiv.

Increased Extra-axial Cerebrospinal Fluid in High-Risk Infants Who Later Develop Autism

Guido Gerig, Robert T. Schultz, C. Chappell, 2017, Biological Psychiatry.

Detection and clinical correlation of leukocortical lesions in pediatric-onset multiple sclerosis on multi-contrast MRI

Vladimir S Fonov, D. Arnold, A. Bar-Or, 2018, Multiple sclerosis.

A sub+cortical fMRI‐based surface parcellation

D. Louis Collins, Vladimir Fonov, Alan C. Evans, 2019, bioRxiv.

Creating a Comprehensive Research Platform for Surgical Technique and Operative Outcome in Primary Brain Tumor Neurosurgery.

Vladimir S Fonov, L. Collins, V. Fonov, 2020, World neurosurgery.

White matter degeneration profile in the cognitive cortico‐subcortical tracts in Parkinson's disease

Vladimir S Fonov, O. Monchi, L. Collins, 2018, Movement disorders : official journal of the Movement Disorder Society.

Association of cumulative prenatal adversity with infant subcortical structure volumes and child problem behavior and its moderation by a coexpression polygenic risk score of the serotonin system.

Satu J. Lehtola, Vladimir S Fonov, T. Paunio, 2023, Development and psychopathology.

Sex-specific associations between maternal pregnancy-specific anxiety and newborn amygdalar volumes - preliminary findings from the FinnBrain Birth Cohort Study

Satu J. Lehtola, Vladimir S Fonov, J. Lewis, 2022, Stress.

Dynamic Amyloid and Metabolic Signatures of Delayed Recall Performance within the Clinical Spectrum of Alzheimer’s Disease

Vladimir S Fonov, S. Eskildsen, V. Fonov, 2023, Brain sciences.

Test-retest resting-state fMRI in healthy elderly persons with a family history of Alzheimer’s disease

Veronique Bohbot, Clifford R. Jack, Alan C. Evans, 2015, Scientific Data.

VoxelStats: A MATLAB Package for Multi-Modal Voxel-Wise Brain Image Analysis

Vladimir Fonov, Pedro Rosa-Neto, Serge Gauthier, 2016, Front. Neuroinform..

A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort

Vladimir S Fonov, A. Sadikot, Yiming Xiao, 2017, Data in brief.

Improved Precision in the Measurement of Longitudinal Global and Regional Volumetric Changes via a Novel MRI Gradient Distortion Characterization and Correction Technique

D. Louis Collins, Andrew L. Janke, Vladimir Fonov, 2010, MIAR.

Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data

Guido Gerig, D. Louis Collins, Robert T. Schultz, 2015, Developmental Cognitive Neuroscience.

Accurate age classiﬁcation of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data

Jonathan D. Power, Vladimir S Fonov, M. Styner, 2022 .

A new template to study callosal growth shows specific growth in anterior and posterior regions of the corpus callosum in early childhood

Alan C. Evans, Vladimir S Fonov, L. Collins, 2015, The European journal of neuroscience.

Rigid registration of 3D ultrasound and MRI: comparing two approaches on nine tumor cases

D. Louis Collins, Laurence Mercier, Kevin Petrecca, 2010 .

The development of optical techniques for the measurement of pressure and skin friction

Vladimir S Fonov, L. Goss, V. Fonov, 2006 .