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 medRxiv (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.
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ZonMw
Grant: 09150162010173
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
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