Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data
Summary
Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data is a scholarly article[1].
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Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-sinogram-interpolation-for-x-ray-computed-tomography-validated-on-experimental-data
MLA“Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-sinogram-interpolation-for-x-ray-computed-tomography-validated-on-experimental-data.
BibTeX@misc{4ortxyz_machine-learning-based-sinogram-interpolation-for-x-ray-computed-tomography-validated-on-experimental-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-sinogram-interpolation-for-x-ray-computed-tomography-validated-on-experimental-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data — https://4ort.xyz/entity/machine-learning-based-sinogram-interpolation-for-x-ray-computed-tomography-validated-on-experimental-data (retrieved 2026-05-24)
