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Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach
Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach
Summary
Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach is a scholarly article[1].
Key Facts
Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach'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). Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/clinical-feasibility-of-an-abdominal-thin-slice-breath-hold-single-shot-fast-spin-echo-sequence-processed-using-a-deep-l
MLA“Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clinical-feasibility-of-an-abdominal-thin-slice-breath-hold-single-shot-fast-spin-echo-sequence-processed-using-a-deep-l.
BibTeX@misc{4ortxyz_clinical-feasibility-of-an-abdominal-thin-slice-breath-hold-single-shot-fast-spin-echo-sequence-processed-using-a-deep-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach}}, year = {2026}, url = {https://4ort.xyz/entity/clinical-feasibility-of-an-abdominal-thin-slice-breath-hold-single-shot-fast-spin-echo-sequence-processed-using-a-deep-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach — https://4ort.xyz/entity/clinical-feasibility-of-an-abdominal-thin-slice-breath-hold-single-shot-fast-spin-echo-sequence-processed-using-a-deep-l (retrieved 2026-05-24)
