Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy

Research article (Medical Physics, 2023) · cited 29× · AI/ML
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Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy

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Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy is a scholarly article[1].

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  • Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy. Retrieved May 24, 2026, from https://4ort.xyz/entity/feasibility-of-monte-carlo-dropoutbased-uncertainty-maps-to-evaluate-deep-learningbased-synthetic-cts-for-adaptive-proto
MLA “Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feasibility-of-monte-carlo-dropoutbased-uncertainty-maps-to-evaluate-deep-learningbased-synthetic-cts-for-adaptive-proto.
BibTeX @misc{4ortxyz_feasibility-of-monte-carlo-dropoutbased-uncertainty-maps-to-evaluate-deep-learningbased-synthetic-cts-for-adaptive-proto_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy}}, year = {2026}, url = {https://4ort.xyz/entity/feasibility-of-monte-carlo-dropoutbased-uncertainty-maps-to-evaluate-deep-learningbased-synthetic-cts-for-adaptive-proto}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy — https://4ort.xyz/entity/feasibility-of-monte-carlo-dropoutbased-uncertainty-maps-to-evaluate-deep-learningbased-synthetic-cts-for-adaptive-proto (retrieved 2026-05-24)

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