Home ›
Entities
› academia
› Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique
Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique
Research article (European Journal of Radiology, 2021) · cited 21× · AI/ML
Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique
Summary
Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique is a scholarly article[1].
Key Facts
Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique'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). Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique. Retrieved May 24, 2026, from https://4ort.xyz/entity/breath-hold-3d-magnetic-resonance-cholangiopancreatography-at-1-5-t-using-a-deep-learning-based-noise-reduction-approach
MLA“Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/breath-hold-3d-magnetic-resonance-cholangiopancreatography-at-1-5-t-using-a-deep-learning-based-noise-reduction-approach.
BibTeX@misc{4ortxyz_breath-hold-3d-magnetic-resonance-cholangiopancreatography-at-1-5-t-using-a-deep-learning-based-noise-reduction-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique}}, year = {2026}, url = {https://4ort.xyz/entity/breath-hold-3d-magnetic-resonance-cholangiopancreatography-at-1-5-t-using-a-deep-learning-based-noise-reduction-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique — https://4ort.xyz/entity/breath-hold-3d-magnetic-resonance-cholangiopancreatography-at-1-5-t-using-a-deep-learning-based-noise-reduction-approach (retrieved 2026-05-24)
