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Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

Proceedings of the National Academy of Sciences - PNAS, 2019-11, Vol.116 (45), p.22737-22745

2019

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Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study

American journal of neuroradiology : AJNR, 2017-03, Vol.38 (3), p.537-545

2017

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Computational Approaches for Acute Traumatic Brain Injury Image Recognition

Frontiers in neurology, 2022-03, Vol.13, p.791816-791816

2022

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Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injury

Annals of neurology, 2013-02, Vol.73 (2), p.224-235

2013

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Acute biomarkers of traumatic brain injury: relationship between plasma levels of ubiquitin C-terminal hydrolase-L1 and glial fibrillary acidic protein

Journal of neurotrauma, 2014-01, Vol.31 (1), p.19

2014

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Diffusion tensor imaging for outcome prediction in mild traumatic brain injury: a TRACK-TBI study

Journal of neurotrauma, 2014-09, Vol.31 (17), p.1457

2014

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Biogeochemical controls of surface ocean phosphate

Science advances, 2019-08, Vol.5 (8), p.eaax0341-eaax0341

2019

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Circulating Brain-Derived Neurotrophic Factor Has Diagnostic and Prognostic Value in Traumatic Brain Injury

Journal of neurotrauma, 2016-01, Vol.33 (2), p.215

2016

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The evolution of white matter microstructural changes after mild traumatic brain injury: A longitudinal DTI and NODDI study

Science advances, 2020-08, Vol.6 (32), p.eaaz6892-eaaz6892

2020

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Age-Related Differences in Diagnostic Accuracy of Plasma Glial Fibrillary Acidic Protein and Tau for Identifying Acute Intracranial Trauma on Computed Tomography: A TRACK-TBI Study

Journal of neurotrauma, 2018-10, Vol.35 (20), p.2341

2018

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Imaging of ependymomas: MRI and CT

Child's nervous system, 2009-10, Vol.25 (10), p.1203-1213, Article 1203

2009

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GFAP-BDP as an acute diagnostic marker in traumatic brain injury: results from the prospective transforming research and clinical knowledge in traumatic brain injury study

Journal of neurotrauma, 2013-09, Vol.30 (17), p.1490

2013

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Data-driven distillation and precision prognosis in traumatic brain injury with interpretable machine learning

Scientific reports, 2023-12, Vol.13 (1), p.21200-21200, Article 21200

2023

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Pre-injury Comorbidities Are Associated With Functional Impairment and Post-concussive Symptoms at 3- and 6-Months After Mild Traumatic Brain Injury: A TRACK-TBI Study

Frontiers in neurology, 2019-04, Vol.10, p.343-343

2019

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FAIR Data Reuse in Traumatic Brain Injury: Exploring Inflammation and Age as Moderators of Recovery in the TRACK-TBI Pilot

Frontiers in neurology, 2021-11, Vol.12, p.768735-768735

2021

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Calvarial fracture patterns on CT imaging predict risk of a delayed epidural hematoma following decompressive craniectomy for traumatic brain injury

American journal of neuroradiology : AJNR, 2014-10, Vol.35 (10), p.1930-1935

2014

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Diffusivity measurements differentiate benign from malignant lesions in patients with peripheral neuropathy or plexopathy

American journal of neuroradiology : AJNR, 2015-01, Vol.36 (1), p.202-209

2015

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Long-Term Effectiveness of Direct CT-Guided Aspiration and Fenestration of Symptomatic Lumbar Facet Synovial Cysts

American journal of neuroradiology : AJNR, 2018-01, Vol.39 (1), p.193-198

2018

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Neuroworsening in the Emergency Department Is a Predictor of Traumatic Brain Injury Intervention and Outcome: A TRACK-TBI Pilot Study

Journal of clinical medicine, 2023-03, Vol.12 (5), p.2024

2023

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Delivery of systemic chemotherapeutic agent to tumors by using focused ultrasound: study in a murine model

Radiology, 2005-02, Vol.234 (2), p.431

2005

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Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation

Radiology. Artificial intelligence, 2024-05, Vol.6 (3), p.e230077

2024

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Collaborative targeted maximum likelihood estimation for variable importance measure: Illustration for functional outcome prediction in mild traumatic brain injuries

Statistical methods in medical research, 2018-01, Vol.27 (1), p.286-297

2018

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Prognostic value of day-of-injury plasma GFAP and UCH-L1 concentrations for predicting functional recovery after traumatic brain injury in patients from the US TRACK-TBI cohort: an observational cohort study

Lancet neurology, 2022-09, Vol.21 (9), p.803-813

2022

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Symptomatology and functional outcome in mild traumatic brain injury: results from the prospective TRACK-TBI study

Journal of neurotrauma, 2014-01, Vol.31 (1), p.26

2014

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Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study

Computational Approaches for Acute Traumatic Brain Injury Image Recognition

Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injury

Comparing Plasma Phospho Tau, Total Tau, and Phospho Tau-Total Tau Ratio as Acute and Chronic Traumatic Brain Injury Biomarkers

Acute biomarkers of traumatic brain injury: relationship between plasma levels of ubiquitin C-terminal hydrolase-L1 and glial fibrillary acidic protein

Diffusion tensor imaging for outcome prediction in mild traumatic brain injury: a TRACK-TBI study

Biogeochemical controls of surface ocean phosphate

Circulating Brain-Derived Neurotrophic Factor Has Diagnostic and Prognostic Value in Traumatic Brain Injury

The evolution of white matter microstructural changes after mild traumatic brain injury: A longitudinal DTI and NODDI study

Age-Related Differences in Diagnostic Accuracy of Plasma Glial Fibrillary Acidic Protein and Tau for Identifying Acute Intracranial Trauma on Computed Tomography: A TRACK-TBI Study

Imaging of ependymomas: MRI and CT

GFAP-BDP as an acute diagnostic marker in traumatic brain injury: results from the prospective transforming research and clinical knowledge in traumatic brain injury study

Data-driven distillation and precision prognosis in traumatic brain injury with interpretable machine learning

Pre-injury Comorbidities Are Associated With Functional Impairment and Post-concussive Symptoms at 3- and 6-Months After Mild Traumatic Brain Injury: A TRACK-TBI Study

FAIR Data Reuse in Traumatic Brain Injury: Exploring Inflammation and Age as Moderators of Recovery in the TRACK-TBI Pilot

Calvarial fracture patterns on CT imaging predict risk of a delayed epidural hematoma following decompressive craniectomy for traumatic brain injury

Diffusivity measurements differentiate benign from malignant lesions in patients with peripheral neuropathy or plexopathy

Long-Term Effectiveness of Direct CT-Guided Aspiration and Fenestration of Symptomatic Lumbar Facet Synovial Cysts

Neuroworsening in the Emergency Department Is a Predictor of Traumatic Brain Injury Intervention and Outcome: A TRACK-TBI Pilot Study

Delivery of systemic chemotherapeutic agent to tumors by using focused ultrasound: study in a murine model

Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation

Collaborative targeted maximum likelihood estimation for variable importance measure: Illustration for functional outcome prediction in mild traumatic brain injuries

Prognostic value of day-of-injury plasma GFAP and UCH-L1 concentrations for predicting functional recovery after traumatic brain injury in patients from the US TRACK-TBI cohort: an observational cohort study

Symptomatology and functional outcome in mild traumatic brain injury: results from the prospective TRACK-TBI study

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