BILAB-NTU/Deep-learning-approach-to-improve-tangential-resolution-in-photoacoustic-tomography

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BILAB-NTU/Deep-learning-approach-to-improve-tangential-resolution-in-photoacoustic-tomography

BILAB-NTU

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In this project, the tangential resolution in photoacoustic tomography is improved by the deep learning approach.

Convolutional-neural-network-for-resolution-enhancement-and-noise-reduction-in-ARPAM

Deep-learning-based-multi-transducer-photoacoustic-tomography-imaging-without-radius-calibration

In this project, a deep learning approach is used to alleviate the need for radius calibration in multi-SUT PAT systems.