Radiology A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow. November 13, 2023
Medical Imaging | Radiology | Trauma Surgery An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma. July 24, 2023
Emergency Medicine | Pulmonology | Radiology Pulmonary contusion: automated deep learning-based quantitative visualization. June 15, 2023
Emergency Radiology | Trauma Surgery Toward automated interpretable AAST grading for blunt splenic injury. November 13, 2022
Emergency Medicine | Radiology | Trauma Surgery A pilot study of deep learning-based CT volumetry for traumatic hemothorax. August 15, 2022
Radiology | Trauma Surgery An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT. January 22, 2021
Radiology | Trauma Surgery Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis. January 20, 2021
Radiology A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation. December 17, 2020
Radiology | Trauma Surgery Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support. February 28, 2020
Radiology | Trauma Surgery Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. June 7, 2019