8 papers
Improving Full Waveform Inversion in Large Model Era
Yinan Feng, Peng Jin, Yuzhe Guo +2
Full Waveform Inversion (FWI) is a highly nonlinear and ill-posed problem that aims to recover subsurface velocity maps from surface-recorded seismic waveforms data. Existing data-…
OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
Hanchen Wang, Yixuan Wu, Yinan Feng +11
Prostate cancer is one of the most prevalent and deadly cancers among men, motivating the development of accurate and accessible imaging technologies for early detection. Ultrasoun…
WaveDiffusion: Joint Latent Diffusion for Physically Consistent Seismic and Velocity Generation
Yinan Feng, Hanchen Wang, Yinpeng Chen +5
Full Waveform Inversion (FWI) is a critical technique in subsurface imaging, aiming to reconstruct high-resolution subsurface properties from surface measurements. Acoustic FWI inv…
Exploring Invariance in Images through One-way Wave Equations
Yinpeng Chen, Dongdong Chen, Xiyang Dai +5
In this paper, we empirically reveal an invariance over images-images share a set of one-way wave equations with latent speeds. Each image is uniquely associated with a solution to…
On a Hidden Property in Computational Imaging
Yinan Feng, Yinpeng Chen, Yueh Lee +1
Computational imaging plays a vital role in various scientific and medical applications, such as Full Waveform Inversion (FWI), Computed Tomography (CT), and Electromagnetic (EM) i…
PreMevE-MEO: Predicting Ultra-relativistic Electrons Using Observations from GPS Satellites
Yinan Feng, Yue Chen, Youzuo Lin
Ultra-relativistic electrons with energies greater than or equal to two megaelectron-volt (MeV) pose a major radiation threat to spaceborne electronics, and thus specifying those h…