Pulmonology | Radiology [A survey on the application of convolutional neural networks in the diagnosis of occupational pneumoconiosis]. April 30, 2024
Clinical Diagnosis | Radiology CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification. December 27, 2023
Radiology Out-of-distribution detection with in-distribution voting using the medical example of chest x-ray classification. October 13, 2023
Artificial Intelligence | Pulmonology | Radiology A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays. January 3, 2023
Radiology Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning. October 15, 2022
Radiology Automatic Detection of Cases of COVID-19 Pneumonia from Chest X-ray Images and Deep Learning Approaches. October 3, 2022
Radiology Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography. September 23, 2022
Artificial Intelligence | Pulmonology | Radiology Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss. September 5, 2022
Infectious Diseases | Pulmonology | Radiology COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning. April 18, 2022
Radiology Evaluation of multiple open-source deep learning models for detecting and grading COVID-19 on chest radiographs. January 10, 2022
Emergency Medicine | Machine Learning | Public Health | Radiology Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic. December 19, 2021
Machine Learning | Radiology Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity. November 17, 2021