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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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01/28/2022
A tomographic workflow to enable deep learning for X-ray based foreign object detection
Detection of unwanted (`foreign') objects within products is a common pr...
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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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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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01/31/2020