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Physics-Inspired Unsupervised Classification for Region of Interest in X-Ray Ptychography
X-ray ptychography allows for large fields to be imaged at high resolution at the cost of additional computational expense due to the large volume of data.
Uncertainty quantification for ptychography using normalizing flows
Ptychography, as an essential tool for high-resolution and nondestructive material characterization, presents a challenging large-scale nonlinear and non-convex inverse problem; however, its intrinsic photon statistics create clear opportunities for statistical-based deep learning approaches to tackle these challenges, which has been underexplored.
Simultaneous Reconstruction and Uncertainty Quantification for Tomography
Tomographic reconstruction, despite its revolutionary impact on a wide range of applications, suffers from its ill-posed nature in that there is no unique solution because of limited and noisy measurements.
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