Home ›
Entities
› academia
› A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections
A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections
Research article (Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2022) · cited 13× · AI/ML
A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections
Summary
A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections is a scholarly article[1].
Key Facts
A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-method-for-high-quality-ultra-fast-ct-image-reconstruction-from-sparsely-sampled-projections
MLA“A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-method-for-high-quality-ultra-fast-ct-image-reconstruction-from-sparsely-sampled-projections.
BibTeX@misc{4ortxyz_a-deep-learning-method-for-high-quality-ultra-fast-ct-image-reconstruction-from-sparsely-sampled-projections_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-method-for-high-quality-ultra-fast-ct-image-reconstruction-from-sparsely-sampled-projections}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections — https://4ort.xyz/entity/a-deep-learning-method-for-high-quality-ultra-fast-ct-image-reconstruction-from-sparsely-sampled-projections (retrieved 2026-05-24)
