Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach

Research article (Scientific Reports, 2020) · cited 23× · AI/ML
Press Enter · cited answer in seconds

Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach

Summary

Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach is a scholarly article[1].

Key Facts

  • Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach's instance of is recorded as scholarly article[2].

📑 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). Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/prognostic-value-of-texture-analysis-from-cardiac-magnetic-resonance-imaging-in-patients-with-takotsubo-syndrome-a-machi
MLA “Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prognostic-value-of-texture-analysis-from-cardiac-magnetic-resonance-imaging-in-patients-with-takotsubo-syndrome-a-machi.
BibTeX @misc{4ortxyz_prognostic-value-of-texture-analysis-from-cardiac-magnetic-resonance-imaging-in-patients-with-takotsubo-syndrome-a-machi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach}}, year = {2026}, url = {https://4ort.xyz/entity/prognostic-value-of-texture-analysis-from-cardiac-magnetic-resonance-imaging-in-patients-with-takotsubo-syndrome-a-machi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach — https://4ort.xyz/entity/prognostic-value-of-texture-analysis-from-cardiac-magnetic-resonance-imaging-in-patients-with-takotsubo-syndrome-a-machi (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/prognostic-value-of-texture-analysis-from-cardiac-magnetic-resonance-imaging-in-patients-with-takotsubo-syndrome-a-machi · Last refreshed: