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A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective

International journal of developmental neuroscience, 2018-12, Vol.71 (1), p.68-82

2018

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White matter microstructure and receptive vocabulary in children with cerebral palsy: The role of interhemispheric connectivity

PloS one, 2023-01, Vol.18 (1), p.e0280055-e0280055

2023

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Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants

NeuroImage (Orlando, Fla.), 2023-02, Vol.267, p.119815-119815, Article 119815

2023

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Predicting motor and cognitive outcomes from MRIs of brain structure in children with acquired brain injury: A pilot study

Pediatrics and neonatology, 2023-05, Vol.64 (3), p.297-305

2023

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Identifying relevant biomarkers of brain injury from structural MRI: Validation using automated approaches in children with unilateral cerebral palsy

PloS one, 2017-08, Vol.12 (8), p.e0181605-e0181605

2017

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Prediction of childhood brain outcomes in infants born preterm using neonatal MRI and concurrent clinical biomarkers (PREBO-6): study protocol for a prospective cohort study

BMJ open, 2020-05, Vol.10 (5), p.e036480-e036480

2020

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Editorial for "Reproducibility of Quantitative Double-Echo Steady-State T 2 Mapping of Knee Cartilage"

Journal of magnetic resonance imaging, 2024-05

2024

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Editorial for "Reproducibility of Quantitative Double-Echo Steady-State T2 Mapping of Knee Cartilage"

Journal of magnetic resonance imaging, 2024-05

2024

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Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies

NeuroImage (Orlando, Fla.), 2019-11, Vol.201, p.116018-116018, Article 116018

2019

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Brain lesion scores obtained using a simple semi-quantitative scale from MR imaging are associated with motor function, communication and cognition in dyskinetic cerebral palsy

NeuroImage clinical, 2018-01, Vol.19, p.892-900

2018

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Understanding the impact of bilateral brain injury in children with unilateral cerebral palsy

Human brain mapping, 2020-07, Vol.41 (10), p.2794-2807

2020

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Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy

NeuroImage clinical, 2016-01, Vol.11 (C), p.751-759

2016

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Longitudinal assessment of brain lesions in children with cerebral palsy and association with motor functioning

European journal of paediatric neurology, 2024-03, Vol.49, p.27-34

2024

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Brain changes following four weeks of unimanual motor training: Evidence from behavior, neural stimulation, cortical thickness, and functional MRI

Human brain mapping, 2017-09, Vol.38 (9), p.4773-4787

2017

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Alterations in regional shape on ipsilateral and contralateral cortex contrast in children with unilateral cerebral palsy and are predictive of multiple outcomes

Human brain mapping, 2016-10, Vol.37 (10), p.3588-3603

2016

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Automated quantification of lung structures from optical coherence tomography images

Biomedical optics express, 2013-11, Vol.4 (11), p.2383-2395

2013

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Cognitive, academic, executive and psychological functioning in children with spastic motor type cerebral palsy: Influence of extent, location, and laterality of brain lesions

European journal of paediatric neurology, 2022-05, Vol.38, p.33-46

2022

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Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis

International journal of developmental neuroscience, 2017-05, Vol.58 (1), p.17-25

2017

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Optofluidic needle probe integrating targeted delivery of fluid with optical coherence tomography imaging

Optics letters, 2014-05, Vol.39 (10), p.2888

2014

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The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review

International journal of developmental neuroscience, 2015-12, Vol.47 (Part_B), p.229-246

2015

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Using ventricular modeling to robustly probe significant deep gray matter pathologies: Application to cerebral palsy

Human brain mapping, 2016-11, Vol.37 (11), p.3795-3809

2016

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Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy

Pediatric radiology, 2016-02, Vol.46 (2), p.270-279

2016

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Iliac Artery Tortuosity, Calcification and Abnormal Shape Augment Aortic Aneurysm Anatomy in Predicting Complications After Endovascular Aneurysm Repair

SN comprehensive clinical medicine, 2022-09, Vol.4 (1), Article 203

2022

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Brain changes following four weeks of unimanual motor training: Evidence from behavior, neural stimulation, cortical thickness, and functional MRI: Widespread Training-Induced Changes in the Human Brain

Human brain mapping, 2017-09, Vol.38 (9), p.4773-4787

2017

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Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.110-118

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A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective

White matter microstructure and receptive vocabulary in children with cerebral palsy: The role of interhemispheric connectivity

Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants

Predicting motor and cognitive outcomes from MRIs of brain structure in children with acquired brain injury: A pilot study

Identifying relevant biomarkers of brain injury from structural MRI: Validation using automated approaches in children with unilateral cerebral palsy

Prediction of childhood brain outcomes in infants born preterm using neonatal MRI and concurrent clinical biomarkers (PREBO-6): study protocol for a prospective cohort study

Editorial for "Reproducibility of Quantitative Double-Echo Steady-State T 2 Mapping of Knee Cartilage"

Editorial for "Reproducibility of Quantitative Double-Echo Steady-State T2 Mapping of Knee Cartilage"

Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies

Brain lesion scores obtained using a simple semi-quantitative scale from MR imaging are associated with motor function, communication and cognition in dyskinetic cerebral palsy

Understanding the impact of bilateral brain injury in children with unilateral cerebral palsy

Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy

Longitudinal assessment of brain lesions in children with cerebral palsy and association with motor functioning

Brain changes following four weeks of unimanual motor training: Evidence from behavior, neural stimulation, cortical thickness, and functional MRI

Alterations in regional shape on ipsilateral and contralateral cortex contrast in children with unilateral cerebral palsy and are predictive of multiple outcomes

Automated quantification of lung structures from optical coherence tomography images

Cognitive, academic, executive and psychological functioning in children with spastic motor type cerebral palsy: Influence of extent, location, and laterality of brain lesions

Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis

Optofluidic needle probe integrating targeted delivery of fluid with optical coherence tomography imaging

The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review

Using ventricular modeling to robustly probe significant deep gray matter pathologies: Application to cerebral palsy

Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy

Iliac Artery Tortuosity, Calcification and Abnormal Shape Augment Aortic Aneurysm Anatomy in Predicting Complications After Endovascular Aneurysm Repair

Brain changes following four weeks of unimanual motor training: Evidence from behavior, neural stimulation, cortical thickness, and functional MRI: Widespread Training-Induced Changes in the Human Brain

Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps

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