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.
Deblurring algorithms accounting for the finite detector size in photoacoustic tomography.Journal of biomedical optics, 19(5):056011– 056011, 2014
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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.