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Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study
Research article (European Radiology, 2022) · cited 23× · AI/ML
Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study
Summary
Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study is a scholarly article[1].
Key Facts
Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-image-reconstruction-to-improve-accuracy-of-iodine-quantification-and-image-quality-in-dual-energy-ct-of-t
MLA“Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-image-reconstruction-to-improve-accuracy-of-iodine-quantification-and-image-quality-in-dual-energy-ct-of-t.
BibTeX@misc{4ortxyz_deep-learning-image-reconstruction-to-improve-accuracy-of-iodine-quantification-and-image-quality-in-dual-energy-ct-of-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-image-reconstruction-to-improve-accuracy-of-iodine-quantification-and-image-quality-in-dual-energy-ct-of-t}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study — https://4ort.xyz/entity/deep-learning-image-reconstruction-to-improve-accuracy-of-iodine-quantification-and-image-quality-in-dual-energy-ct-of-t (retrieved 2026-05-24)
