Last Updated: 09/26/2026
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Found 30 publications
Evaluation of an artificial intelligence model for the identification of obstructive hydrocephalus on computed tomography of the head.
Journal: European radiology
Published: June 04, 2025
Evaluation of an Artificial Intelligence Model for Identification of Mass Effect and Vasogenic Edema on CT of the Head.
Journal: AJNR. American journal of neuroradiology
Published: February 19, 2024
Evaluation of an Artificial Intelligence Model for Identification of Intracranial Hemorrhage Subtypes on Computed Tomography of the Head.
Journal: Stroke (Hoboken, N.J.)
Published: October 28, 2023
The "Crossing Collection Sign": A Diagnostic Tool on Spine Magnetic Resonance Imaging For Localizing Cerebrospinal Fluid Leak.
Journal: Journal of computer assisted tomography
Published: March 06, 2023
Head CT deep learning model is highly accurate for early infarct estimation.
Journal: Scientific reports
Published: July 27, 2022
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.
Journal: Neuroradiology
Published: November 16, 2020
Clinical, Imaging, and Lab Correlates of Severe COVID-19 Leukoencephalopathy.
Journal: AJNR. American journal of neuroradiology
Published: August 25, 2020
The Composite Severity Score for Lumbar Spine MRI: a Metric of Cumulative Degenerative Disease Predicts Time Spent on Interpretation and Reporting.
Journal: Journal of digital imaging
Published: July 18, 2020
Lumbar MRI Reporting Efficiency for Trainees Over the Academic Year: An Opportunity for Improving Clinical Workflows in Academic Medical Centers.
Journal: Journal of the American College of Radiology : JACR
Published: June 30, 2020
Last Updated: 09/26/2026