Radiology A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays. July 16, 2022
Artificial Intelligence | Pulmonology | Radiology Deep transfer learning to quantify pleural effusion severity in chest X-rays. July 16, 2022
Radiology Study on transfer learning capabilities for pneumonia classification in chest-x-rays images. May 10, 2022
Laboratory Medicine | Radiology Artificial intelligence at the time of COVID-19: who does the lion’s share? April 26, 2022
Artificial Intelligence | Infectious Diseases | Radiology A deep learning-based framework for detecting COVID-19 patients using chest X-rays. March 28, 2022
Radiology Clinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR) – Changing the Way We Validate Classification Algorithms. March 6, 2022
Ophthalmology | Radiology Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks. January 27, 2022
Medical Imaging | Pulmonology | Radiology COVID-19 diagnosis system by deep learning approaches. September 13, 2021
Machine Learning | Pulmonology | Radiology Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. August 16, 2021
Radiology Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs. June 9, 2021
Public Health | Radiology | Telemedicine Using Deep Learning Model for Adapting and Managing COVID-19 Pandemic Crisis. May 24, 2021
Pulmonology | Radiology An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs. May 19, 2021