Deep learning is taking an ever more prominent role in medical imaging. On this page, we collect works that focus on applications of this powerful approach in ultrasound systems. Our goal is to provide researchers with an entry point to this growing field by collecting various works that demonstrate the impact of deep learning methodologies on many aspects of ultrasound imaging.

A complementary resource is the Challenge on Ultrasound Beamforming with Deep Learning (CUBDL) webpage. CUBL is offered as a component of the 2020 IEEE International Ultrasonics Symposium and is designed to explore the benefits of using deep learning for both focused and plane wave transmissions. The challenge is organized by Muyinatu Bell, Jiaqi (Justina) Huang, Dongwoon Hyun, Yonina Eldar, Ruud van Sloun and Massimo Mischi who are also maintaining the current page.

A recent special issue on deep learning in ultrasound imaging of the Journal of Biomedical and Health Informatics


To post new links or correct existing links, please e-mail SAMPL lab team member, Alon Mamistvalov at: