Home ›
Entities
› academia
› Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations
Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations
Research article (Frontiers in Cardiovascular Medicine, 2023) · cited 11× · AI/ML
Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations
Summary
Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations is a scholarly article[1].
Key Facts
Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations'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). Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations. Retrieved May 24, 2026, from https://4ort.xyz/entity/multilevel-comparison-of-deep-learning-models-for-function-quantification-in-cardiovascular-magnetic-resonance-on-the-re
MLA“Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multilevel-comparison-of-deep-learning-models-for-function-quantification-in-cardiovascular-magnetic-resonance-on-the-re.
BibTeX@misc{4ortxyz_multilevel-comparison-of-deep-learning-models-for-function-quantification-in-cardiovascular-magnetic-resonance-on-the-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations}}, year = {2026}, url = {https://4ort.xyz/entity/multilevel-comparison-of-deep-learning-models-for-function-quantification-in-cardiovascular-magnetic-resonance-on-the-re}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations — https://4ort.xyz/entity/multilevel-comparison-of-deep-learning-models-for-function-quantification-in-cardiovascular-magnetic-resonance-on-the-re (retrieved 2026-05-24)
