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Physics-assisted Generative Adversarial Network for X-Ray Tomography
X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical imaging, materials science, electronic inspection, and other fields.
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography
Training the deep generative models with synthetic IC data from CircuitFaker illustrates the capabilities of the learned prior from machine learning.
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