Oct 2026
Zero-shot physics-supervised neural network for data-free photoacoustic tomography reconstruction
To address the ill-posedness inherent in photoacoustic tomography reconstruction, we propose ZS-PSNN, a zero-shot physics-supervised neural network framework that eliminates the reliance on external paired training data. By explicitly constructing a discretized acoustic system matrix and embedding it as a differentiabl...
Qi Liu, Sheng-Yu Fang, Zi-Qi Feng et al.
· Applied Physics Letters · 0 citations