Deep Learning for Reflection-Mode Ultrasound Imaging

About a year ago we started an exciting project on using deep learning to improve various aspects of reflection-mode ultrasound imaging. I did not know much about this imaging modality up to this point and I’m happy to know a little bit more now. Georgios Pilikos just presented our current results (virtually) at the 2020 IEEE Symposium (IUS) Ultrasonics. Check out the conference papers on an end-to-end deep delay-and-sum (DSA) imaging approach and an end-to-end deep US data compression. Thanks to everyone involved, in particular to Georgios.