A diffusion-based plug-and-play prior improves OCT image super-resolution over a 2D-UNet on fish-eye cornea data, yet the test setup uses synthetic block-averaged degradation.
The neural networks-based needle detection for medical retinal surgery,
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Super-Resolution Optical Coherence Tomography Using Diffusion Model-Based Plug-and-Play Priors
A diffusion-based plug-and-play prior improves OCT image super-resolution over a 2D-UNet on fish-eye cornea data, yet the test setup uses synthetic block-averaged degradation.