Radiology Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study. September 11, 2024
Radiology Deep Learning for Automated Triaging of Stable Chest Radiographs in a Follow-up Setting. October 24, 2023
Radiology Deep Learning-Based CT Reconstruction Kernel Conversion in the Quantification of Interstitial Lung Disease: Effect on Reproducibility. July 29, 2023
Oncology | Pulmonology | Radiology Automated CT quantification of interstitial lung abnormality and interstitial lung disease according to the Fleischner Society in patients with resectable lung cancer: prognostic significance. June 2, 2023
Pulmonology | Radiology Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiograph in Patients with Interstitial Lung Disease. October 20, 2021
Pathology | Radiology Use of a Commercially Available Deep Learning Algorithm to Measure the Solid Portions of Lung Cancer Manifesting as Subsolid Lesions at CT: Comparisons with Radiologists and Invasive Component Size at Pathologic Examination. February 2, 2021
Radiology Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images. August 1, 2020