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Bi-directional MS lesion filling and synthesis using denoising diffusion implicit model-based lesion repainting

PubMed(2025)10.1117/12.3047407Source: DataRank Database

Bi-directional MS lesion filling and synthesis using denoising diffusion implicit model-based lesion repainting is a research paper published in PubMed (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (11)IDs (PubMed, PMC)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Lianrui Zuo ORCID,Yihao Liu ORCID,Samuel W. Remedios ORCID,Bennett A. Landman ORCID,Jerry L. Prince ORCID

Live enrichment

PubMed:41451394 PMC:PMC12737796

NCI NIH HHS

Grant: R01 CA253923

NCI NIH HHS

Grant: R01 CA275015

National Institutes of Health

Grant: 3R01CA253923-04S1

Novel Integrative Approach for the Early Detection of Lung Cancer using Repeated Measures

National Institutes of Health

Grant: 5R01CA275015-03

Integrating imaging and biopsy-derived molecular markers for the pre-surgical detection of indolent and aggressive early stage lung adenocarcinoma

National Science Foundation

Grant: 1746891

Graduate Research Fellowship Program (GRFP)

greenLicense: CC BY

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12737796/

https://doi.org/10.1117/12.3047407

https://dx.doi.org/10.48550/arxiv.2410.05027

https://pubmed.ncbi.nlm.nih.gov/41451394

https://pubmed.ncbi.nlm.nih.gov/41451394/

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Multiple sclerosisDiffusion ModelsLesion FillingImage InpaintingLesion SynthesisImage and Video Processing (eess.IV)FOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingArticle