Pulmonology | Radiology CT Quantification of Interstitial Lung Abnormality and Interstitial Lung Disease: From Technical Challenges to Future Directions. July 15, 2024
Internal Medicine | Pulmonology | Radiology Long-Term Follow-Up of Interstitial Lung Abnormality: Implication in Follow-Up Strategy and Risk Thresholds. August 17, 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
Radiology Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network. February 9, 2023
Pulmonology | Radiology Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification. November 4, 2022
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
Pulmonology | Radiology Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT. October 12, 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-based detection system for multiclass lesions on chest radiographs: comparison with observer readings. November 21, 2019
Radiology Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses. June 18, 2019