Ashley McLenithan

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Active since

2019

Affiliations

University of Maryland, Baltimore(Current)

Johns Hopkins Medicine

Johns Hopkins University

Ashley McLenithan is an author at University of Maryland, Baltimore specializing in computed tomography, radiology, and deep learning-based diagnosis.

Publications per year

2019–2021

Publications

Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support

David Dreizin, Yuyin Zhou, Tina Chen et al. · The Journal of Trauma: Injury, Infection, and Critical Care · 2019 · 33 citations · Full text

Computing, Computer Science, Radiology +17

A feasibility study of partial REBOA data in a high-volume trauma center

Marta J. Madurska, Ashley McLenithan, Thomas M. Scalea et al. · European Journal of Trauma and Emergency Surgery · 2021 · 32 citations

Medicine, Emergency Medicine, Surgery +8

Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis

David Dreizin, Tina Chen, Yuanyuan Liang et al. · Abdominal Radiology · 2021 · 31 citations · Full text

Medicine, Radiology, Biomedical Imaging +16

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