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20172024
most citedPenalized-Likelihood Reconstruction with High-Fidelity Measurement Models for High-Resolution Cone-Beam Imaging

36 citations · 53 across the 4 of their papers we have counts for

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Showing 2021Show all

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physics.med-ph2021★ 13 cited

Using Uncertainty in Deep Learning Reconstruction for Cone-Beam CT of the Brain

Pengwei Wu, Alejandro Sisniega, Ali Uneri +7

Contrast resolution beyond the limits of conventional cone-beam CT (CBCT) systems is essential to high-quality imaging of the brain. We present a deep learning reconstruction metho…