Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5 T MR-linear accelerator hybrid system: A prospective R-IDEAL stage 2a imaging biomarker characterization/pre-qualification study is a research paper published in Clinical and Translational Radiation Oncology (2023). On theSindex it has a DataRank of 0. It has been cited 14 times.
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National Institute of Dental and Craniofacial Research
Grant: P30CA016672
National Institute of Dental and Craniofacial Research
Grant: R01DE028290
National Institute of Dental and Craniofacial Research
Grant: R21DE031082
Radiation Oncology Institute
Grant: R01DE025248
Division of Civil, Mechanical and Manufacturing Innovation
Grant: NSF 1933369
Patient-Centered Outcomes Research Institute
Grant: PCS-1609-36195
National Institutes of Health
Grant: R01CA257814
National Cancer Institute
Grant: T32CA261856
Israel National Road Safety Authority
Grant: F31DE029093
Israel National Road Safety Authority
Grant: F31DE031502
National Institute of Biomedical Imaging and Bioengineering
Grant: R25EB025787
National Institutes of Health
Grant: 5T32CA261856-02
Image Guided Cancer Therapy Training Program
National Institutes of Health
Grant: 1F31DE029093-01A1
Diffusion-Weighted Imaging-Based Adaptive Replanning for the MR-Linac
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: 5R01CA257814-02
SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck Cancer
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: 3P30CA016672-41S4
Cancer Center Support (CORE) Grant
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: 5R21DE031082-02
Radiation-specific Automated Dental Dose Distributions via Machine-learning based Mapping for Accurate Predictions of (Peri)odontal Problems (RADMAP)
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
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