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Self-supervised deep learning for denoising and missing wedge reconstruction of cryo-ET tomograms
An un-trained neural network with a potential application in accelerated MRI
Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
Prompt-based segmentation and fine-tuning for data-efficient and flexible particle picking in cryo-ET tomograms
A scalable multi-node asynchronous implementation of DeepMind’s FunSearch using RabbitMQ.
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