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Deep Learning-Based Low-Dose Tomography Reconstruction with Hybrid-Dose Measurements

At the Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, researchers from Argonne and Virginia Tech will present a paper on a deep learning framework that can be applied to tomography reconstruction and other X-ray imaging techniques for enhanced analysis of dose-sensitive samples.