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Dual-Energy CT to Differentiate Small Foci of Intracranial Hemorrhage from Calcium

Radiology, 2020-01, Vol.294 (1), p.129-138

2020

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A New Treatment Paradigm: Neoadjuvant Radiosurgery Before Surgical Resection of Brain Metastases With Analysis of Local Tumor Recurrence

International journal of radiation oncology, biology, physics, 2014-03, Vol.88 (4), p.899-906

2014

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Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Radiology, 2022-12, Vol.305 (3), p.555-563

2022

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Three‐Dimensional Cinematic Rendering to Optimize Visualization of Cerebrovascular Anatomy and Disease in CT Angiography

Journal of neuroimaging, 2020-05, Vol.30 (3), p.286-296

2020

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On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology

Radiology. Artificial intelligence, 2022-07, Vol.4 (4), p.e220119-e220119

2022

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Head CT deep learning model is highly accurate for early infarct estimation

Scientific reports, 2023-01, Vol.13 (1), p.189-189, Article 189

2023

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A Deep Learning-Based Computer Aided Detection (CAD) System for Difficult-to-Detect Brain Metastases

International journal of radiation oncology, biology, physics, 2023-03, Vol.115 (3), p.779-793

2023

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Incidence and imaging characteristics of difficult to detect retrospectively identified brain metastases in patients receiving repeat courses of stereotactic radiosurgery

Journal of neuro-oncology, 2024-03, Vol.167 (1), p.219-227

2024

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Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Radiology, 2022-10, Vol.305 (1), p.E62-E62

2022

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Natural Language Processing of Radiology Text Reports: Interactive Text Classification

Radiology. Artificial intelligence, 2021-07, Vol.3 (4), p.e210035-e210035

2021

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Effects of age and sex on the distribution and symmetry of lumbar spinal and neural foraminal stenosis: a natural language processing analysis of 43,255 lumbar MRI reports

Neuroradiology, 2021-06, Vol.63 (6), p.959-966

2021

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Novel Approach to Percutaneous Lumbar Surgeries via Kambin's Triangle—Radiographic and Surgical Planning Analysis with Nerve Segmentation Technology

World neurosurgery, 2023-09, Vol.177, p.e385-e396

2023

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Radiation Dose Considerations in Emergent Neuroimaging

Neuroimaging clinics of North America, 2018-08, Vol.28 (3), p.525-536

2018

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How dimensions can guide surgical planning and training: a systematic review of Kambin's triangle

Neurosurgical focus, 2023-01, Vol.54 (1), p.E6-E6

2023

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Using Augmented Reality Technology to Optimize Transfacet Lumbar Interbody Fusion: A Case Report

Journal of clinical medicine, 2024-03, Vol.13 (5), p.1513

2024

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A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees

Journal of digital imaging, 2021-08, Vol.34 (4), p.1026-1033

2021

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Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series Labels

Radiology. Artificial intelligence, 2023-09, Vol.5 (5), p.e220275-e220275

2023

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Lumbar MRI Reporting Efficiency for Trainees Over the Academic Year: An Opportunity for Improving Clinical Workflows in Academic Medical Centers

Journal of the American College of Radiology, 2021-03, Vol.18 (3), p.428-434

2021

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Non-traumatic subdural hemorrhage: beware of ruptured intracranial aneurysm

Emergency radiology, 2019-10, Vol.26 (5), p.567-571

2019

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The Composite Severity Score for Lumbar Spine MRI: a Metric of Cumulative Degenerative Disease Predicts Time Spent on Interpretation and Reporting

Journal of digital imaging, 2021-08, Vol.34 (4), p.811-819

2021

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Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents

Radiology. Artificial intelligence, 2020-11, Vol.2 (6), p.e200057-e200057

2020

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The “connecting vessel” sign: an imaging biomarker to differentiate ruptured infected (mycotic) intracranial aneurysm mimicking the CTA spot sign

Emergency radiology, 2020-06, Vol.27 (3), p.259-268

2020

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Systematic Analysis of Common Factors Impacting Deep Learning Model Generalizability in Liver Segmentation

Radiology. Artificial intelligence, 2023-05, Vol.5 (3), p.e220080-e220080

2023

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Two-Year Clinical and Radiographic Outcomes for Percutaneous Lumbar Interbody Fusion With an Expandable Titanium Cage Through Kambin's Triangle Without Facetectomy

International journal of spine surgery, 2023-12, Vol.17 (6), p.760-770

2023

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Novel Merging of CT and MRI to Allow for Safe Navigation into Kambin's Triangle for Percutaneous Lumbar Interbody Fusion-Initial Case Series Investigating Safety and Efficacy

Operative neurosurgery (Hagerstown, Md.), 2023-03, Vol.24 (3), p.331-340

2023

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Dual-Energy CT to Differentiate Small Foci of Intracranial Hemorrhage from Calcium

A New Treatment Paradigm: Neoadjuvant Radiosurgery Before Surgical Resection of Brain Metastases With Analysis of Local Tumor Recurrence

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Three‐Dimensional Cinematic Rendering to Optimize Visualization of Cerebrovascular Anatomy and Disease in CT Angiography

On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology

Head CT deep learning model is highly accurate for early infarct estimation

A Deep Learning-Based Computer Aided Detection (CAD) System for Difficult-to-Detect Brain Metastases

Incidence and imaging characteristics of difficult to detect retrospectively identified brain metastases in patients receiving repeat courses of stereotactic radiosurgery

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Natural Language Processing of Radiology Text Reports: Interactive Text Classification

Effects of age and sex on the distribution and symmetry of lumbar spinal and neural foraminal stenosis: a natural language processing analysis of 43,255 lumbar MRI reports

Novel Approach to Percutaneous Lumbar Surgeries via Kambin's Triangle—Radiographic and Surgical Planning Analysis with Nerve Segmentation Technology

Radiation Dose Considerations in Emergent Neuroimaging

How dimensions can guide surgical planning and training: a systematic review of Kambin's triangle

Using Augmented Reality Technology to Optimize Transfacet Lumbar Interbody Fusion: A Case Report

A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees

Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series Labels

Lumbar MRI Reporting Efficiency for Trainees Over the Academic Year: An Opportunity for Improving Clinical Workflows in Academic Medical Centers

Non-traumatic subdural hemorrhage: beware of ruptured intracranial aneurysm

The Composite Severity Score for Lumbar Spine MRI: a Metric of Cumulative Degenerative Disease Predicts Time Spent on Interpretation and Reporting

Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents

The “connecting vessel” sign: an imaging biomarker to differentiate ruptured infected (mycotic) intracranial aneurysm mimicking the CTA spot sign

Systematic Analysis of Common Factors Impacting Deep Learning Model Generalizability in Liver Segmentation

Two-Year Clinical and Radiographic Outcomes for Percutaneous Lumbar Interbody Fusion With an Expandable Titanium Cage Through Kambin's Triangle Without Facetectomy

Novel Merging of CT and MRI to Allow for Safe Navigation into Kambin's Triangle for Percutaneous Lumbar Interbody Fusion-Initial Case Series Investigating Safety and Efficacy

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