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Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system
Research article (Medical Physics, 2020) · cited 25× · AI/ML
Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system
Summary
Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system is a scholarly article[1].
Key Facts
Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system. Retrieved May 24, 2026, from https://4ort.xyz/entity/stability-of-conventional-and-machine-learningbased-tumor-autosegmentation-techniques-using-undersampled-dynamic-radial-
MLA“Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stability-of-conventional-and-machine-learningbased-tumor-autosegmentation-techniques-using-undersampled-dynamic-radial-.
BibTeX@misc{4ortxyz_stability-of-conventional-and-machine-learningbased-tumor-autosegmentation-techniques-using-undersampled-dynamic-radial-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system}}, year = {2026}, url = {https://4ort.xyz/entity/stability-of-conventional-and-machine-learningbased-tumor-autosegmentation-techniques-using-undersampled-dynamic-radial-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system — https://4ort.xyz/entity/stability-of-conventional-and-machine-learningbased-tumor-autosegmentation-techniques-using-undersampled-dynamic-radial- (retrieved 2026-05-24)
