4 citations · 6 across the 3 of their papers we have counts for
5 papers
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,…
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…
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…
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…
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo
Hengrong Lan, Daohuai Jiang, Changchun Yang +1
Photoacoustic imaging (PAI) is an emerging non-invasive imaging modality combining the advantages of deep ultrasound penetration and high optical contrast. Image reconstruction is…