16 citations · 37 across the 8 of their papers we have counts for
8 papers
Photoacoustic digital brain: numerical modelling and image reconstruction via deep learning
Tengbo Lyu, Jiadong Zhang, Zijian Gao +3
Photoacoustic tomography (PAT) is a newly developed medical imaging modality, which combines the advantages of pure optical imaging and ultrasound imaging, owning both high optical…
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…
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,…
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…
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…