Pulmonology | Radiology Lung segment anything model (LuSAM): a decoupled prompt-integrated framework for automated lung segmentation on chest X-Ray images. May 23, 2024
Neonatology | Pediatrics | Radiology Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Chest Radiographs. March 19, 2024
Pulmonology | Radiology Deep Learning Approaches for Quantifying Ventilation Defects in Hyperpolarized Gas Magnetic Resonance Imaging of the Lung: A Review. December 23, 2023
Radiology [Non-local attention and multi-task learning based lung segmentation in chest X-ray]. October 25, 2023
Pulmonology | Radiology Joint classification and segmentation for an interpretable diagnosis of acute respiratory distress syndrome from chest x-rays. October 19, 2023
Pulmonology | Radiology External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT. September 29, 2023
Computer Science | Radiology Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images. August 14, 2023
Pediatrics | Radiology Development of lung segmentation method in x-ray images of children based on TransResUNet. July 26, 2023
Pediatrics | Radiology Can Deep Adult Lung Segmentation Models Generalize to the Pediatric Population? July 3, 2023
Intensive Care Medicine | Radiology Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework. June 10, 2023
Radiology Automated semantic lung segmentation in chest CT images using deep neural network. June 5, 2023