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06/24/2023
Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency Constraints
Photoacoustic tomography (PAT) is a newly emerged imaging modality which...
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01/17/2023
Cross-domain Unsupervised Reconstruction with Equivariance for Photoacoustic Computed Tomography
Accurate image reconstruction is crucial for photoacoustic (PA) computed...
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11/08/2021
Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography
Photoacoustic imaging (PAI) is a non-invasive imaging modality that dete...
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05/29/2021
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
Photoacoustic (PA) computed tomography (PACT) shows great potentials in ...
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01/22/2021
AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data
Photoacoustic (PA) imaging is a biomedical imaging modality capable of a...
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12/04/2020
Photoacoustic Image Reconstruction Beyond Supervised to Compensate Limit-view and Remove Artifacts
Photoacoustic computed tomography (PACT) reconstructs the initial pressu...
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08/16/2020
Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs
If light passes through the body tissues, focusing only on areas where t...
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08/10/2020
Deep learning for photoacoustic imaging: a survey
Machine learning has been developed dramatically and witnessed a lot of ...
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08/02/2019
