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Quantitative diffusion magnetic resonance imaging in head and neck tumors

Quantitative imaging in medicine and surgery, 2018-11, Vol.8 (10), p.1052-1065

Payabvash, Seyedmehdi

2018

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Fluid dynamics simulations show that facial masks can suppress the spread of COVID-19 in indoor environments

AIP advances, 2020-12, Vol.10 (12), p.125109-125109-10

2020

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PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma

European journal of nuclear medicine and molecular imaging, 2020-12, Vol.47 (13), p.2978-2991

2020

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Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings

Frontiers in oncology, 2020-02, Vol.10, p.71-71

2020

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Teaching Deep Neural Networks to Find Cerebral Aneurysms

Radiology, 2024-08, Vol.312 (2), p.e241367

Payabvash, Seyedmehdi

2024

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Trends in Use of Intravenous Thrombolysis and Endovascular Thrombectomy in Patients With Acute Stroke With Large Vessel Occlusion 2016 to 2020 and Impact of COVID-19 Pandemic

Journal of the American Heart Association, 2023-11, Vol.12 (21), p.e029579-e029579

2023

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Early brain microstructural development among preterm infants requiring caesarean section versus those delivered vaginally

Scientific reports, 2023-12, Vol.13 (1), p.21514-21514, Article 21514

2023

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Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma

Cancers, 2020-07, Vol.12 (7), p.1778

2020

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Differentiating intraparenchymal hemorrhage from contrast extravasation on post-procedural noncontrast CT scan in acute ischemic stroke patients undergoing endovascular treatment

Neuroradiology, 2014-09, Vol.56 (9), p.737-744

2014

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A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness

Frontiers in neuroscience, 2020-06, Vol.14, p.537-537

2020

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Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children

Frontiers in neuroscience, 2023-02, Vol.17, p.1138670-1138670

2023

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Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers

Frontiers in neuroscience, 2023-08, Vol.17, p.1225342-1225342

2023

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Age-dependent white matter microstructural disintegrity in autism spectrum disorder

Frontiers in neuroscience, 2022-09, Vol.16, p.957018-957018

2022

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Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics

Translational oncology, 2021-01, Vol.14 (1), p.100906-100906, Article 100906

2021

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Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes

Frontiers in neuroscience, 2023-11, Vol.17, p.1285396-1285396

2023

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Editorial: Radiomics Advances Precision Medicine

Frontiers in oncology, 2022-03, Vol.12, p.853948-853948

2022

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Quantitative diffusion magnetic resonance imaging in head and neck tumors

Quantitative imaging in medicine and surgery, 2018-11, Vol.8 (10), p.1052-1065

Payabvash, Seyedmehdi

2018

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A 1-Tesla MRI system for dedicated brain imaging in the neonatal intensive care unit

Frontiers in neuroscience, 2023-02, Vol.17, p.1132173-1132173

2023

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Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle-Aged Individuals Without Stroke or Dementia

Journal of the American Heart Association, 2024-01, Vol.13 (1), p.e031514-e031514

2024

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American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members

Insights into imaging, 2023-07, Vol.14 (1), p.113-113, Article 113

2023

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Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic Review

Cancers, 2022-03, Vol.14 (6), p.1369

2022

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Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities

Cancers, 2022-05, Vol.14 (11), p.2623

2022

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Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

Frontiers in oncology, 2022-04, Vol.12, p.856231-856231

2022

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A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning

NeuroImage clinical, 2018-01, Vol.20, p.498-505

2018

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CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke

NeuroImage clinical, 2022-01, Vol.34, p.103034, Article 103034

2022

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Quantitative diffusion magnetic resonance imaging in head and neck tumors

Fluid dynamics simulations show that facial masks can suppress the spread of COVID-19 in indoor environments

PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma

Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings

Teaching Deep Neural Networks to Find Cerebral Aneurysms

Trends in Use of Intravenous Thrombolysis and Endovascular Thrombectomy in Patients With Acute Stroke With Large Vessel Occlusion 2016 to 2020 and Impact of COVID-19 Pandemic

Early brain microstructural development among preterm infants requiring caesarean section versus those delivered vaginally

Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma

Differentiating intraparenchymal hemorrhage from contrast extravasation on post-procedural noncontrast CT scan in acute ischemic stroke patients undergoing endovascular treatment

A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness

Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children

Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers

Age-dependent white matter microstructural disintegrity in autism spectrum disorder

Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics

Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes

Editorial: Radiomics Advances Precision Medicine

Quantitative diffusion magnetic resonance imaging in head and neck tumors

A 1-Tesla MRI system for dedicated brain imaging in the neonatal intensive care unit

Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle-Aged Individuals Without Stroke or Dementia

American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members

Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic Review

Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning

CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke

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