Artificial Intelligence | COVID-19 | Medical Imaging | Radiology A review of explainable and interpretable AI with applications in COVID-19 imaging. November 19, 2021
Artificial Intelligence in Medicine | Pulmonology | Radiology PSCNN: PatchShuffle Convolutional Neural Network for COVID-19 Explainable Diagnosis. November 15, 2021
Artificial Intelligence | Computer Vision | Nutrition Explainable deep learning ensemble for food image analysis on edge devices. November 8, 2021
Electrophysiology | Neuroscience Non-human primate epidural ECoG analysis using explainable deep learning technology. October 25, 2021
Artificial Intelligence | Gastroenterology | Surgery Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study. October 13, 2021
Radiology CSGBBNet: An Explainable Deep Learning Framework for COVID-19 Detection. September 28, 2021
Artificial Intelligence | Climate science Interpretable and explainable AI (XAI) model for spatial drought prediction. September 1, 2021
Radiology GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. August 31, 2021
Radiology Lung nodule malignancy classification with weakly supervised explanation generation. August 23, 2021
Oncology | Radiology Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization. March 25, 2021
Artificial Intelligence | Infectious Diseases | Radiology COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays. January 13, 2021