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Emerging Applications of Artificial Intelligence in Neuro-Oncology

Radiology, 2019-03, Vol.290 (3), p.607-618

2019

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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Radiology, 2019-06, Vol.291 (3), p.781-791

2019

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Artificial intelligence for precision education in radiology

British journal of radiology, 2019-11, Vol.92 (1103), p.20190389-20190389

2019

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Autism-Associated Promoter Variant in MET Impacts Functional and Structural Brain Networks

Neuron (Cambridge, Mass.), 2012-09, Vol.75 (5), p.904-915

2012

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Overreactive Brain Responses to Sensory Stimuli in Youth With Autism Spectrum Disorders

Journal of the American Academy of Child and Adolescent Psychiatry, 2013-11, Vol.52 (11), p.1158-1172

2013

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Development of the Default Mode and Central Executive Networks across early adolescence: A longitudinal study

Developmental cognitive neuroscience, 2014-10, Vol.10 (C), p.148-159

2014

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Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics

Journal of neuroimaging, 2018-03, Vol.28 (2), p.139-149

2018

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Machine learning classification of mesial temporal sclerosis in epilepsy patients

Epilepsy research, 2015-11, Vol.117, p.63-69

2015

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Clinical Assessment of Deep Learning-based Super-Resolution for 3D Volumetric Brain MRI

Radiology. Artificial intelligence, 2022-03, Vol.4 (2), p.e210059

2022

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3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies

Frontiers in neuroscience, 2023-10, Vol.17, p.1188336-1188336

2023

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Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network

Frontiers in computational neuroscience, 2019-12, Vol.13, p.84-84

2019

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Insights into multimodal imaging classification of ADHD

Frontiers in systems neuroscience, 2012-01, Vol.6, p.59-59

2012

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The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis

Frontiers in neuroinformatics, 2012-01, Vol.6, p.28-28

2012

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Automated multiclass tissue segmentation of clinical brain MRIs with lesions

NeuroImage clinical, 2021-01, Vol.31, p.102769-102769, Article 102769

2021

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Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI

Radiology, 2020-06, Vol.295 (3), p.626-637

2020

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Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients

Frontiers in computational neuroscience, 2019-12, Vol.13, p.81-81

2019

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Neural signatures of autism spectrum disorders: insights into brain network dynamics

Neuropsychopharmacology (New York, N.Y.), 2015-01, Vol.40 (1), p.171-189

2015

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Advancing Pediatric Neuro-Oncology: Multi-institutional nnU-Net Segmentation of Medulloblastoma

Radiology. Artificial intelligence, 2024-09, Vol.6 (5), p.e240517

2024

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Neuroimaging Patterns of Intracranial Infections: Meningitis, Cerebritis, and Their Complications

Neuroimaging clinics of North America, 2023-02, Vol.33 (1), p.11-41

2023

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Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders

Cerebral cortex (New York, N.Y. 1991), 2012-05, Vol.22 (5), p.1025-1037

2012

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Regional fMRI Hypoactivation and Altered Functional Connectivity During Emotion Processing in Nonmedicated Depressed Patients With Bipolar II Disorder

The American journal of psychiatry, 2012-08, Vol.169 (8), p.831-840

2012

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Altered functional connectivity in frontal lobe circuits is associated with variation in the autism risk gene CNTNAP2

Science translational medicine, 2010-11, Vol.2 (56), p.56ra80

2010

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Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma

Neuro-oncology advances, 2022-01, Vol.4 (1), p.vdac060-vdac060

2022

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Medical Image Analysis: Human and Machine

Academic radiology, 2020-01, Vol.27 (1), p.76-81

2020

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Emerging Applications of Artificial Intelligence in Neuro-Oncology

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Artificial intelligence for precision education in radiology

Autism-Associated Promoter Variant in MET Impacts Functional and Structural Brain Networks

Overreactive Brain Responses to Sensory Stimuli in Youth With Autism Spectrum Disorders

Development of the Default Mode and Central Executive Networks across early adolescence: A longitudinal study

Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics

Machine learning classification of mesial temporal sclerosis in epilepsy patients

Clinical Assessment of Deep Learning-based Super-Resolution for 3D Volumetric Brain MRI

3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network

Insights into multimodal imaging classification of ADHD

The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis

Automated multiclass tissue segmentation of clinical brain MRIs with lesions

Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI

Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients

Neural signatures of autism spectrum disorders: insights into brain network dynamics

Advancing Pediatric Neuro-Oncology: Multi-institutional nnU-Net Segmentation of Medulloblastoma

Neuroimaging Patterns of Intracranial Infections: Meningitis, Cerebritis, and Their Complications

Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders

Regional fMRI Hypoactivation and Altered Functional Connectivity During Emotion Processing in Nonmedicated Depressed Patients With Bipolar II Disorder

Altered functional connectivity in frontal lobe circuits is associated with variation in the autism risk gene CNTNAP2

Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma

Medical Image Analysis: Human and Machine

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