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Found 2 papers, 1 papers with code
Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
The use of fluorescent molecules to create long sequences of low-density, diffraction-limited images enables highly-precise molecule localization.
Deep Unrolled Recovery in Sparse Biological Imaging
Deep algorithm unrolling has emerged as a powerful model-based approach to develop deep architectures that combine the interpretability of iterative algorithms with the performance gains of supervised deep learning, especially in cases of sparse optimization.
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