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20192021
most citedDeep learning for photoacoustic imaging: a survey

16 citations · 37 across the 8 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

physics.med-ph2020

Superposed Wave (s-Wave): Accelerating Photoacoustic Simulation

Jiadong Zhang, Tengbo Lyu, Changchun Yang +4

Photoacoustic imaging develops very fast in recent years due to its superior performance in many preclinical and clinical applications. However, it is still in a developing stage,…

cs.CV2020★ 1 cited

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…

eess.IV2020★ 4 cited

Limited-view Photoacoustic Imaging Reconstruction With Dual Domain Inputs Under Mutual Information Constraint

Jiadong Zhang, Hengrong Lan, Changchun Yang +3

Based on photoacoustic effect, photoacoustic tomography is developing very fast in recent years, and becoming an important imaging tool for both preclinical and clinical studies. W…

eess.IV2020★ 2 cited

Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs

Changchun Yang, Hengrong Lan, Fei Gao

If light passes through the body tissues, focusing only on areas where treatment needs, such as tumors, will revolutionize many biomedical imaging and therapy technologies. So how…

cs.CV2020★ 16 cited

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…