Deep Learning–Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans is a research paper published in Practical Radiation Oncology (2023). On theSindex it has a DataRank of 0. It has been cited 55 times.
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Patient-Centered Outcomes Research Institute
Grant: PCS-1609-36195
National Center for Advancing Translational Sciences
Grant: UL1TR003167
National Center for Advancing Translational Sciences
Grant: TL1TR003169
National Institute of Dental and Craniofacial Research
Grant: R01DE028290
National Institute of Dental and Craniofacial Research
Grant: 1R01DE025248/R56DE025248
National Institute of Dental and Craniofacial Research
Grant: 1R01CA218148
National Institute of Dental and Craniofacial Research
Grant: R01CA258827
National Institute of Dental and Craniofacial Research
Grant: P50CA097007
National Institute of Dental and Craniofacial Research
Grant: 1R01CA214825
National Institute of Dental and Craniofacial Research
Grant: R21DE031082
National Institute of Dental and Craniofacial Research
Grant: P30CA016672
American Society of Clinical Oncology
Grant: 16/631,662
American Society of Clinical Oncology
Grant: PCT/US2018/042364
American Society of Clinical Oncology
Grant: MDA04-056
American Society of Clinical Oncology
Grant: 1842494
Graduate Research Fellowship Program(GRFP)
American Society of Clinical Oncology
Grant: CCSG P30CA016672
American Society of Clinical Oncology
Grant: T32CA096520
Division of Civil, Mechanical and Manufacturing Innovation
Grant: R01CA257814
Division of Civil, Mechanical and Manufacturing Innovation
Grant: NSF 1933369
NIH HHS
Grant: OT2 OD026675
NCI NIH HHS
Grant: R01 CA218148
NCI NIH HHS
Grant: P30 CA047904
NIBIB NIH HHS
Grant: R25 EB025787
NCI NIH HHS
Grant: R01 CA214825
NCI NIH HHS
Grant: R43 CA254559
NIDCR NIH HHS
Grant: R56 DE025248
NIDCR NIH HHS
Grant: R01 DE025248
National Institutes of Health
Grant: 5P50CA097007-07
CA: Administrative Core
National Institutes of Health
Grant: 5R01DE025248-04
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular Osteoradionecrosis
National Institutes of Health
Grant: 5R01CA214825-03
SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment
National Institutes of Health
Grant: 3UL1TR003167-02S4
Center for Clinical and Translational Sciences (CCTS)
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1OT2OD026675-01
Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources
National Institutes of Health
Grant: 1R25EB025787-01
Fellow and Resident Radiation Oncology iNtensive Training in Imaging and Informatics to Empower Research Careers (FRONTI2ER)
National Institutes of Health
Grant: 3P30CA016672-41S4
Cancer Center Support (CORE) Grant
National Institutes of Health
Grant: 5R01CA218148-02
imaging Radiation-Associated Dysphagia (iRAD)
National Institutes of Health
Grant: 5TL1TR003169-02
NRSA Training Core
National Institutes of Health
Grant: 3R01CA258827-02S1
Longitudinal Spatial-Nonspatial Decision Support for Competing Outcomes in Head and Neck Cancer Therapy
National Institutes of Health
Grant: 5R01CA257814-02
SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck Cancer
National Institutes of Health
Grant: 5R21DE031082-02
Radiation-specific Automated Dental Dose Distributions via Machine-learning based Mapping for Accurate Predictions of (Peri)odontal Problems (RADMAP)
National Science Foundation
Grant: 1557679
QuBBD: Collaborative Research: SMART -- Spatial-Nonspatial Multidimensional Adaptive Radiotherapy Treatment
National Institutes of Health
Grant: 1R43CA254559-01A1
A System for Xerostomia Risk Classification after Head & Neck Cancer Radiotherapy
National Institutes of Health
Grant: 5T32CA096520-03
Training Program in Biostatistics for Cancer Research
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
American Association of Physicists in Medicine
Elekta
National Institutes of Health
Yale Cancer Center
American Society for Radiation Oncology
Varian Medical Systems
Radiological Society of North America
Division of Mathematical Sciences
University of Alabama at Birmingham
Cancer Prevention and Research Institute of Texas
National Cancer Institute
Wellcome Trust
Wellcome Trust
FWCI
13.71
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans