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cs.CV2021
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…
cs.CV2020
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…
cs.CV2020
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…