A reference-free bootstrapped cross-validation method estimates performance of 4D deep-learning reconstruction from sparse X-ray data by comparing outputs from independent data subsets.
Dual beam microfocus high-energy tomography: Towards multimodal and faster laboratory experiments.Tomography of Materials and Structures, 5:100030, 2024
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An evaluation framework for sparse 4D (3D + time) imaging reconstruction via bootstrapped cross-validation
A reference-free bootstrapped cross-validation method estimates performance of 4D deep-learning reconstruction from sparse X-ray data by comparing outputs from independent data subsets.