Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference

Deep learning has revolutionized nearly every field of study by providing an unprecedented way to mine complex datasets, extract predictive information, and fuse complementary modalities. While early work in deep learning was indiscriminate in its application to different problems, today, we are witnessing a transition on how deep learning is being specifically developed for Medical Image Analysis. Researchers are now proposing elegant ways to use deep neural networks to tackle open challenges, to better integrate domain knowledge, and to look inside the traditional “black box” for interpretable and actionable information, all while advancing the learning algorithms themselves. The papers presented in this special issue epitomize these emerging trends. This special issue contains twelve articles that were invited from the 2022 International Conference on Medical Imaging with Deep Learning (MIDL) that was …