Home › Entities › academia › Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study

Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study

Research article (Quantitative Imaging in Medicine and Surgery, 2021) · cited 54× · AI/ML
academia openalex:W3188002299
Press Enter · cited answer in seconds

Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study

Summary

Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study is a scholarly article[1].

Key Facts

  • Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study. Retrieved May 24, 2026, from https://4ort.xyz/entity/effect-of-a-new-deep-learning-image-reconstruction-algorithm-for-abdominal-computed-tomography-imaging-on-image-quality-
MLA “Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effect-of-a-new-deep-learning-image-reconstruction-algorithm-for-abdominal-computed-tomography-imaging-on-image-quality-.
BibTeX @misc{4ortxyz_effect-of-a-new-deep-learning-image-reconstruction-algorithm-for-abdominal-computed-tomography-imaging-on-image-quality-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study}}, year = {2026}, url = {https://4ort.xyz/entity/effect-of-a-new-deep-learning-image-reconstruction-algorithm-for-abdominal-computed-tomography-imaging-on-image-quality-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study — https://4ort.xyz/entity/effect-of-a-new-deep-learning-image-reconstruction-algorithm-for-abdominal-computed-tomography-imaging-on-image-quality- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/effect-of-a-new-deep-learning-image-reconstruction-algorithm-for-abdominal-computed-tomography-imaging-on-image-quality- · Last refreshed: