An unsupervised physics-informed neural deconvolution framework for ultrasound imaging
An unsupervised physics-informed deconvolution network framework (UPIDN) that bridges the strengths of physical modeling and deep learning is proposed, providing a reliable approach for high-quality ultrasound reconstruction without paired training data and offers a potential solution for ultrasound imaging scenarios w...