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Author profile
Thomas J. Whitaker, PhD
The University of Texas MD Anderson Cancer Center
INR‑CBCT: An Implicit Neural Representation Framework Enabling High‑Quality Sparse‑View Cone‑Beam CT for Image‑Guided Radiotherapy
In this preliminary study, we introduce an iterative implicit neural representation method for improving sparse‑view CBCT (INR-CBCT) for image-guided-radiotherapy.
Proffered Program · Therapy Physics
Integration of Technology and Biology for Precision and Personalized Radiation Oncology
There are many recent advances in linear energy transfer (LET) optimized proton therapy planning, radiation biology, immune therapy, and molecular imaging with the potential to improve the efficacy of radiation oncology. The aim of this talk is to present fea...
Poster Program · Therapy Physics
International Survey Results on Current Adaptive Radiotherapy Implementation
While adaptive radiotherapy (ART) is increasingly being adopted into clinical practice, treatment planning, delivery, dose reporting, and clinical trial QA have not yet been standardized for national clinical trials, leaving a gap in ensuring consistent and p...
Poster Program · Therapy Physics
Quality-Driven Deep Learning Dose Prediction for Head and Neck Cancer Using Limited High-Quality Training Data
To evaluate whether deep learning models trained on a small number of high-quality plans (e.g., ≤30) can predict dose distributions of comparable quality, and whether the predicted quality improvements are achievable.
Poster Program · Therapy Physics