19 citations · 59 across the 18 of their papers we have counts for
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Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency Constraints
Shangqing Tong, Hengrong Lan, Liming Nie +2
Photoacoustic tomography (PAT) is a newly emerged imaging modality which enables both high optical contrast and acoustic depth of penetration. Reconstructing images of photoacousti…
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
Hengrong Lan, Juze Zhang, Changchun Yang +1
Photoacoustic (PA) computed tomography (PACT) shows great potentials in various preclinical and clinical applications. A great number of measurements are the premise that obtains a…
AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data
Mengjie Guo, Hengrong Lan, Changchun Yang +1
Photoacoustic (PA) imaging is a biomedical imaging modality capable of acquiring high-contrast images of optical absorption at depths much greater than traditional optical imaging…
A Jointed Feature Fusion Framework for Photoacoustic Reconstruction
Hengrong Lan, Changchun Yang, Fei Gao
Photoacoustic (PA) computed tomography (PACT) reconstructs the initial pressure distribution from raw PA signals. The standard reconstruction of medical image could cause the artif…
Deep learning for photoacoustic imaging: a survey
Changchun Yang, Hengrong Lan, Feng Gao +1
Machine learning has been developed dramatically and witnessed a lot of applications in various fields over the past few years. This boom originated in 2009, when a new model emerg…