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Self-Supervised Single-Image Deconvolution with Siamese Neural Networks
Recently, self-supervised blind-spot neural networks were successfully adopted for image deconvolution by including a known point-spread function in the end-to-end training.
Metadata Improves Segmentation Through Multitasking Elicitation
Metainformation is a common companion to biomedical images.
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
As a part of this work, we release a microscopy dataset to establish a benchmark for the multiplane image denoising.
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