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Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging

European radiology, 2019-08, Vol.29 (8), p.4068-4076

2019

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Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results

PloS one, 2021-08, Vol.16 (8), p.e0256152-e0256152

2021

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Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation

Scientific reports, 2020-07, Vol.10 (1), p.12110, Article 12110

2020

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Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach

European radiology, 2018-09, Vol.28 (9), p.3832-3839

2018

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Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction

European radiology, 2020-07, Vol.30 (7), p.3834-3842

2020

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Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction

Radiology, 2018-12, Vol.289 (3), p.797-806

2018

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MRI‐Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic–Clonic Seizures Alone

Journal of magnetic resonance imaging, 2024-07, Vol.60 (1), p.281-288

2024

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Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging

European radiology, 2021-09, Vol.31 (9), p.6686-6695

2021

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Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

Scientific reports, 2021-02, Vol.11 (1), p.2913-2913, Article 2913

2021

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Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas

European radiology, 2020-12, Vol.30 (12), p.6475-6484

2020

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ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images

IEEE transactions on medical imaging, 2008-08, Vol.27 (8), p.1003-1017

2008

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Characteristics of perivascular space dilatation in normal aging

Human brain mapping, 2023-06, Vol.44 (8), p.3232-3240

2023

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Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma

The journal of clinical endocrinology and metabolism, 2021-08, Vol.106 (8), p.e3069-e3077

2021

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Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume

European radiology, 2017-08, Vol.27 (8), p.3181-3189

2017

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Differentiation between primary cerebral lymphoma and glioblastoma using the apparent diffusion coefficient: comparison of three different ROI methods

PloS one, 2014-11, Vol.9 (11), p.e112948-e112948

2014

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Neural correlates of empathy for babies in postpartum women: A longitudinal study

Human brain mapping, 2021-07, Vol.42 (10), p.3295-3304

2021

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Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward

Korean Journal of Radiology, 2020, 21(12), , pp.1345-1354

2020

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Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls

Scientific reports, 2020-11, Vol.10 (1), p.19567-19567, Article 19567

2020

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Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation

Scientific reports, 2022-04, Vol.12 (1), p.7042-7042, Article 7042

2022

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Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma

European radiology, 2019-12, Vol.29 (12), p.6643-6652

2019

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Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT promoter mutation status in grade 2 meningiomas

PloS one, 2022-10, Vol.17 (10), p.e0276342-e0276342

2022

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Viscoelastic Property of the Brain Assessed With Magnetic Resonance Elastography and Its Association With Glymphatic System in Neurologically Normal Individuals

Korean journal of radiology, 2023-06, Vol.24 (6), p.564-573

2023

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An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum

Translational psychiatry, 2021-09, Vol.11 (1), p.462-462, Article 462

2021

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Altered neural substrates within cognitive networks of postpartum women during working memory process and resting-state

Scientific reports, 2020-06, Vol.10 (1), p.9110-9110, Article 9110

2020

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Long-Term Ambient Air Pollution Exposures and Brain Imaging Markers in Korean Adults: The Environmental Pollution-Induced Neurological EFfects (EPINEF) Study

Environmental health perspectives, 2020-11, Vol.128 (11), p.117006

2020

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Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging

Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results

Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation

Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction

Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction

MRI‐Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic–Clonic Seizures Alone

Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging

Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas

ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images

Characteristics of perivascular space dilatation in normal aging

Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma

Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume

Differentiation between primary cerebral lymphoma and glioblastoma using the apparent diffusion coefficient: comparison of three different ROI methods

Neural correlates of empathy for babies in postpartum women: A longitudinal study

Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward

Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls

Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation

Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma

Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT promoter mutation status in grade 2 meningiomas

Viscoelastic Property of the Brain Assessed With Magnetic Resonance Elastography and Its Association With Glymphatic System in Neurologically Normal Individuals

An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum

Altered neural substrates within cognitive networks of postpartum women during working memory process and resting-state

Long-Term Ambient Air Pollution Exposures and Brain Imaging Markers in Korean Adults: The Environmental Pollution-Induced Neurological EFfects (EPINEF) Study

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