BILAB-NTU

Android-mobile-platform-based-image-reconstruction-for-photoacoustic-tomography

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

Deep-learning-approach-to-improve-tangential-resolution-in-photoacoustic-tomography

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

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.

Getting-started-with-deep-learning-in-photoacoustic-tomography

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

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

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

BILAB-NTU/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.

BILAB-NTU/Android-mobile-platform-based-image-reconstruction-for-photoacoustic-tomography

BILAB-NTU/Getting-started-with-deep-learning-in-photoacoustic-tomography