Pulmonology | Radiology Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data. February 10, 2024
Artificial Intelligence | Radiology Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images. June 10, 2023
Pulmonology | Radiology SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images. March 31, 2023
Machine Learning | Pulmonology | Radiology A hybrid CNN and ensemble model for COVID-19 lung infection detection on chest CT scans. March 9, 2023
Computer Science | Radiology BPCN: bilateral progressive compensation network for lung infection image segmentation. December 29, 2022
Pulmonology | Radiology Unsupervised landmark detection and classification of lung infection using transporter neural networks. December 9, 2022
Pulmonology | Radiology MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images. August 8, 2022
Artificial Intelligence | Computer Vision | Radiology An Encoder-Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images. November 1, 2021
Pulmonology | Radiology DUDA-Net: a double U-shaped dilated attention network for automatic infection area segmentation in COVID-19 lung CT images. June 5, 2021