Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations is a research paper published in Radiotherapy and Oncology (2025). On theSindex it has a DataRank of 0. It has been cited 6 times.
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Netherlands Organisation for Health Research and Development
Grant: NWO-09150162010173
National Institute of Dental and Craniofacial Research
Grant: R01DE028290
National Institutes of Health
Grant: NCT05036330
Dutch Cancer Society
Grant: KWF-13529
US Department of Defense
Grant: W81XWH-20-PRCRP-BHSA
National Institutes of Health National Cancer Institute
Grant: R01CA257814
National Institutes of Health National Cancer Institute
Grant: R01CA258827
National Institutes of Health National Cancer Institute
Grant: 1R01CA271223
National Institutes of Health National Cancer Institute
Grant: 1P01CA285249
National Institutes of Health National Cancer Institute
Grant: 1R21CA273984-01 / FP00014732
Patient-Centered Outcomes Research Institute
Grant: PCS-1609\u201336195
NCI NIH HHS
Grant: R01 CA271223
ZonMw
Grant: 09150162010173
NCI NIH HHS
Grant: R21 CA273984
NCI NIH HHS
Grant: P01 CA285249
National Institutes of Health
Grant: 1R01CA271223-01A1
Dissemination and implementation of DIGEST™ as an evidence-based measurement tool for dysphagia in cancer
National Institutes of Health
Grant: 5R01CA257814-02
SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck Cancer
National Institutes of Health
Grant: 1R21CA273984-01A1
Hypoglossal neuropathy in the pathogenesis of radiation associated dysphagia (hRAD)
National Institutes of Health
Grant: 3R01DE028290-02S1
Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac device
National Institutes of Health
Grant: 3R01CA258827-02S1
Longitudinal Spatial-Nonspatial Decision Support for Competing Outcomes in Head and Neck Cancer Therapy
European Commission
FWCI
10.14
Citation Percentile
1.0%
Citation Trend
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