David A. Mong

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

AI in health and medicine

Preparing Medical Imaging Data for Machine Learning

Multimodal biomedical AI

Privacy in the age of medical big data

Machine Learning: Algorithms, Real-World Applications and Research Directions

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification