Artificial Intelligence for Radiation Oncology Applications Using Public Datasets is a research paper published in Seminars in Radiation Oncology (2022). On theSindex it has a DataRank of 0. It has been cited 29 times.
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National Institute of Biomedical Imaging and Bioengineering
Grant: R25EB025787
National Institute of Dental and Craniofacial Research
Grant: 1 F31DE031502-01
National Institute of Dental and Craniofacial Research
Grant: 1R01DE025248-01/R56DE025248
National Institute of Dental and Craniofacial Research
Grant: R01DE028290
National Cancer Institute
Grant: P30CA016672-44
NCI NIH HHS
Grant: P30 CA016672
NIDCR NIH HHS
Grant: F31 DE031502
NCI NIH HHS
Grant: R01 CA218148
NCI NIH HHS
Grant: R01 CA214825
NCI NIH HHS
Grant: P50 CA097007
NIDCR NIH HHS
Grant: R56 DE025248
NIDCR NIH HHS
Grant: R01 DE025248
National Institutes of Health
Grant: 5R01CA218148-02
imaging Radiation-Associated Dysphagia (iRAD)
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: 5F31DE031502-02
Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline for Oropharyngeal Cancer Radiotherapy Treatment Guidance
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: 5R01CA214825-03
SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment
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
National Science Foundation
Division of Mathematical Sciences
FWCI
3.51
Citation Percentile
0.9%
Citation Trend
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Sustainable Development Goals