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CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
Deconvolution microscopy has been extensively used to improve the resolution of the wide-field fluorescent microscopy, but the performance of classical approaches critically depends on the accuracy of a model and optimization algorithms.
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer
In contrast to the recent CNN approaches for similar problem, the explicit PSF modeling layers improve the robustness of the algorithm.
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network
Coronary calcium causes beam hardening and blooming artifacts on cardiac computed tomography angiography (CTA) images, which lead to overestimation of lumen stenosis and reduction of diagnostic specificity.
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