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20242026
most citedSurvey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20261 cited

Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging

Youzuo Lin, Shihang Feng, James Theiler +7

Computational wave imaging (CWI) extracts hidden structure and physical properties of a volume of material by analyzing wave signals that traverse that volume. Applications include…

physics.med-ph2026

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…

cs.CV2025

BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography

Shengyu Chen, Shihang Feng, Yi Luo +2

Ultrasound brain imaging remains challenging due to the large difference in sound speed between the skull and brain tissues and the difficulty of coupling large probes to the skull…

physics.geo-ph2024

Auto-Linear Phenomenon in Subsurface Imaging

Yinan Feng, Yinpeng Chen, Peng Jin +3

Subsurface imaging involves solving full waveform inversion (FWI) to predict geophysical properties from measurements. This problem can be reframed as an image-to-image translation…

cs.LG2024

An Empirical Study of Large-Scale Data-Driven Full Waveform Inversion

Peng Jin, Yinan Feng, Shihang Feng +5

This paper investigates the impact of big data on deep learning models to help solve the full waveform inversion (FWI) problem. While it is well known that big data can boost the p…