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09/01/2023
Multi-stage Deep Learning Artifact Reduction for Computed Tomography
In Computed Tomography (CT), an image of the interior structure of an ob...
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05/22/2023
Quantifying the effect of X-ray scattering for data generation in real-time defect detection
X-ray imaging is widely used for non-destructive detection of defects in...
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03/15/2021
Improving reproducibility in synchrotron tomography using implementation-adapted filters
For reconstructing large tomographic datasets fast, filtered backproject...
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12/08/2020
CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing
We introduce single-shot X-ray tomography that aims to estimate the targ...
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11/13/2020
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
Convolutional neural networks (CNNs) have proven to be highly successful...
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10/01/2020
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks
Circular cone-beam (CCB) Computed Tomography (CT) has become an integral...
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07/03/2020
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography
At X-ray beamlines of synchrotron light sources, the achievable time-res...
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01/31/2020
Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging
Recovering a high-quality image from noisy indirect measurement is an im...
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04/03/2017