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Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke
Research article (Diagnostics, 2022) · cited 11× · AI/ML
Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke
Summary
Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke is a scholarly article[1].
Key Facts
Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke's instance of is recorded as scholarly article[2].
References
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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). Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke. Retrieved May 24, 2026, from https://4ort.xyz/entity/merging-multiphase-cta-images-and-training-them-simultaneously-with-a-deep-learning-algorithm-could-improve-the-efficacy
MLA“Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/merging-multiphase-cta-images-and-training-them-simultaneously-with-a-deep-learning-algorithm-could-improve-the-efficacy.
BibTeX@misc{4ortxyz_merging-multiphase-cta-images-and-training-them-simultaneously-with-a-deep-learning-algorithm-could-improve-the-efficacy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke}}, year = {2026}, url = {https://4ort.xyz/entity/merging-multiphase-cta-images-and-training-them-simultaneously-with-a-deep-learning-algorithm-could-improve-the-efficacy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke — https://4ort.xyz/entity/merging-multiphase-cta-images-and-training-them-simultaneously-with-a-deep-learning-algorithm-could-improve-the-efficacy (retrieved 2026-05-24)
