Author profile
Department of Radiation Physics, The University of Texas MD Anderson Cancer Center
Organ‑level breast dosimetry is essential for developing robust dose-response models of subsequent breast cancer (SBC) risk in female childhood cancer survivors. Historically, epidemiologic studies relied on surrogate metrics such as prescription dose due to...
Radiotherapy treatment planning is a resource-intensive process characterized by multiple manual steps that can contribute to treatment delays and inter-observer variability. The Radiation Planning Assistant (RPA) is a web-based platform designed to deliver a...
In this preliminary study, we introduce an iterative implicit neural representation method for improving sparse‑view CBCT (INR-CBCT) for image-guided-radiotherapy.
Deep-learning (DL) auto-segmentation is routinely used clinically, yet domain shift and vendor model upgrades can change behavior in non-intuitive ways. We present a regression-testing framework to commission upgraded commercial auto-contouring models and to...
The primary objective of this study was to develop a generalized deep learning-based dose calculation engine capable of accurate, site-independent dose prediction. By utilizing a beamlet-based input strategy, we aimed to establish a computationally consistent...
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.
This work presents the Radiotherapy Dose Inference and Analysis Toolkit (RADIANT), an open-source, fully configurable framework for 3D radiotherapy dose prediction. Built upon the Medical Imaging Segmentation Toolkit, RADIANT supports a wide range of network...
To evaluate the dosimetric performance and surface conformality of a commercially available brass mesh bolus (BMB) compared with 3 mm Superflab (SF) in clinically realistic scenarios where air gaps are expected, such as in patients with tissue expanders.
Students and Trainees
Radiotherapy plan quality education is limited by case availability, frequent clinical interruptions, and difficulty aligning schedules. These barriers leave residents underprepared to identify and correct suboptimal plans, potentially compromising future out...