Radiology Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography. February 21, 2024
Radiology Deep Learning for Automated Triaging of Stable Chest Radiographs in a Follow-up Setting. October 24, 2023
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
Radiology Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease. July 27, 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
Oncology | Pulmonology | Radiology Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning-based Texture Analysis. April 25, 2023
Pulmonology | Radiology Deep Learning-based Approach to Predict Pulmonary Function at Chest CT. February 14, 2023
Radiology Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network. February 9, 2023
Radiology CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning. January 26, 2023
Pulmonology | Radiology Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification. November 4, 2022