56 citations · 94 across the 4 of their papers we have counts for
4 papers
Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning
Fangshu Yang, Jianwei Ma
Seismic full waveform inversion (FWI) is a powerful geophysical imaging technique that produces high-resolution subsurface models by iteratively minimizing the misfit between the s…
Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion
Jing Rao, Fangshu Yang, Huadong Mo +2
Ultrasonic methods have great potential applications to detect and characterize defects in multi-layered bonded composites. However, it remains challenging to quantitatively recons…
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging
Fangshu Yang, Thanh-an Pham, Nathalie Brandenberg +3
Quantitative phase imaging (QPI) is an emerging label-free technique that produces images containing morphological and dynamical information without contrast agents. Unfortunately,…
Deep-learning inversion: a next generation seismic velocity-model building method
Fangshu Yang, Jianwei Ma
Seismic velocity is one of the most important parameters used in seismic exploration. Accurate velocity models are key prerequisites for reverse-time migration and other high-resol…