research
∙
12/12/2022
Efficient Bayesian Uncertainty Estimation for nnU-Net
The self-configuring nnU-Net has achieved leading performance in a large...
share
research
∙
05/29/2021
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
Photoacoustic (PA) computed tomography (PACT) shows great potentials in ...
research
∙
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...
research
∙
12/04/2020
Photoacoustic Image Reconstruction Beyond Supervised to Compensate Limit-view and Remove Artifacts
Photoacoustic computed tomography (PACT) reconstructs the initial pressu...
research
∙
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...
research
∙
08/10/2020
Deep learning for photoacoustic imaging: a survey
Machine learning has been developed dramatically and witnessed a lot of ...
research
∙
08/02/2019