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Fuller Digital Twins in RO 2024.pptx (186.87 MB)

MD Anderson Cancer Center 2024 Digital Twin Summit: Computational Modeling in Radiation Oncology--"From Model to Management:​The Head and Neck Cancer Use-Case for Spatial/Non-Spatial Approaches".

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posted on 2024-06-13, 17:13 authored by Clifton D. FullerClifton D. Fuller

Presentation for the University of Texas MD Anderson Cancer Center 2024 Digital Twin Summit: Computational Modeling in Radiation Oncology (Chairs: Heiko Enderling, PhD, Caroline Chung, MD, MSc).



Funding

Image Guided Cancer Therapy Training Program

National Cancer Institute

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SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck Cancer

National Cancer Institute

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Longitudinal Spatial-Nonspatial Decision Support for Competing Outcomes in Head and Neck Cancer Therapy

National Cancer Institute

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R03DE033550- Probabilistic Deep Learning Cervical Lymph-Node Auto-Segmentation For Imaging-enhanced Evaluation of Extracapsular Extension Risk (PDL-CLASIFIER)

Quantitative Imaging Biomarker Prospective Validation of Dynamic Contrast-Enhanced MRI as a Metric of Orodental Injury After Radiotherapy (QI-ProVE-MRI)

National Institute of Dental and Craniofacial Research

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Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac device

National Institute of Dental and Craniofacial Research

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3R01DE028290-04S2 Administrative Supplement: Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac device

SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment

National Cancer Institute

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Fellow and Resident Radiation Oncology iNtensive Training in Imaging and Informatics to Empower Research Careers (FRONTI2ER)

National Institute of Biomedical Imaging and Bioengineering

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QuBBD: Precision E –Radiomics for Dynamic Big Head & Neck Cancer Data

National Cancer Institute

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History