Physics-Driven Machine Learning for Computational Imaging: Part 2

Thanks to the tremendous interest from the research community, the focus of the March issue of the IEEE Signal Processing Magazine is on the second volume of the special issue on physics-driven machine learning for computational imaging, which brings together nine articles of the 19 accepted papers from the original 47 submissions.

Automated summary

The March issue of the IEEE Signal Processing Magazine focuses on the second volume of the special issue on physics-driven machine learning for computational imaging. This issue includes nine articles out of the 47 submissions that were accepted.