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Magnetic Resonance-Guided Cancer Therapy Radiomics and Machine Learning Models for Response Prediction

Tomography(2024)10.3390/tomography10090107Source: DataRank Database

Magnetic Resonance-Guided Cancer Therapy Radiomics and Machine Learning Models for Response Prediction is a research paper published in Tomography (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)OA: goldTopics (22)IDs (PubMed, PMC)

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Accessible (1/2)

Open Access

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Reusable (0/3)

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Authors (8)

Glebys Gonzalez ORCID,Stephen A. Rosenberg,Ghanim Ullah ORCID,Gage Redler ORCID,Kujtim Latifi ORCID

Live enrichment

PubMed:39330753 PMC:PMC11435563

ViewRay Inc.

Grant: R01-CA233487

ViewRay Inc.

Grant: CA233487-05S1

NIH HHS

Grant: 1R01CA233487-05S1

NCI NIH HHS

Grant: R01 CA233487

National Institutes of Health

Grant: 5R01CA233487-06

Optimal Decision Making in Radiotherapy Using Panomics Analytics

ViewRay Inc

ViewRay Inc.

goldLicense: cc-by

publisherhttps://www.mdpi.com/2379-139X/10/9/107/pdf?version=1725268381

publisherhttps://www.mdpi.com/2379-139X/10/9/107/pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11435563/pdf/tomography-10-00107.pdf

repositoryhttps://doaj.org/article/13cf0027437c438aba098cee878ac967

Unpaywallhttps://doi.org/10.3390/tomography10090107

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansNeoplasmsMagnetic Resonance ImagingTreatment OutcomeRadiotherapy, Image-GuidedMachine LearningRadiomics

Keywords

MRIClinical OutcomesMachine LearningRadiomicsMri-linacComputer applications to medicine. Medical informaticsR858-859.7ReviewMagnetic Resonance ImagingTreatment OutcomeNeoplasmsHumansRadiotherapy, Image-Guided