3 papers
physics.med-ph2026
Physics-informed neural networks for quantitative assessment of cancellous bone microstructure from photoacoustic signals
Shoukun Lyu, Haohan Sun, Shibo Nie +5
Artificial intelligence (AI) empowers innovative diagnostic tools for common diseases, yet its clinical application in skeletal health evaluation is constrained by unsatisfactory a…
physics.med-ph2026
A Physics-Constrained Learning Framework for Wave Propagation in Complex Poroelastic Multilayered Media
Ya Gao, Yifan Wang, Yiming Chen +5
Wave propagation through complex poroelastic multilayered media is difficult to model and invert because pronounced heterogeneity, scattering, mode conversion and fluid-solid coupl…
physics.med-ph2023
Theoretical and experimental study of attenuation in cancellous bone
Wenyi Xu, Weiya Xie, Dong Yu +7
Photoacoustic (PA) technology can provide information on both the physical structure and chemical composition of bone, showing great potential in bone assessment. However, due to t…