A ground-truth-free self-supervised angular deblurring method for photoacoustic reconstruction that approaches supervised performance by modeling finite-detector effects via Noisier2Inverse in polar coordinates.
Noise2inverse: Self-supervised deep convolutional denoising for tomography.IEEE Transactions on Com- putational Imaging, 6:1320–1335, 2020
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Self-Supervised Angular Deblurring in Photoacoustic Reconstruction via Noisier2Inverse
A ground-truth-free self-supervised angular deblurring method for photoacoustic reconstruction that approaches supervised performance by modeling finite-detector effects via Noisier2Inverse in polar coordinates.