58 citations · 116 across the 5 of their papers we have counts for
5 papers
CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy
Yiran Sun, Tucker Netherton, Laurence Court +2
CT scans are the standard-of-care for many clinical ailments, and are needed for treatments like external beam radiotherapy. Unfortunately, CT scanners are rare in low and mid-reso…
Resection cavity auto-contouring for patients with pediatric medulloblastoma using only CT information
Soleil Hernandez, Callistus Nguyen, Skylar Gay +9
Purpose: Target delineation for radiation therapy is a time-consuming and complex task. Autocontouring gross tumor volumes (GTVs) has been shown to increase efficiency. However, th…
Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans
Mary P. Gronberg, Beth M. Beadle, Adam S. Garden +20
Purpose: This study aimed to use deep learning-based dose prediction to assess head and neck (HN) plan quality and identify suboptimal plans. Methods: A total of 245 VMAT HN plans…
Automated WBRT Treatment Planning via Deep Learning Auto-Contouring and Customizable Landmark-Based Field Aperture Design
Yao Xiao, Carlos Cardenas, Dong Joo Rhee +12
In this work, we developed and evaluated a novel pipeline consisting of two landmark-based field aperture generation approaches for WBRT treatment planning; they are fully automate…
Automation of Radiation Treatment Planning for Rectal Cancer
Kai Huang, Prajnan Das, Adenike M. Olanrewaju +9
To develop an automated workflow for rectal cancer three-dimensional conformal radiotherapy treatment planning that combines deep-learning(DL) aperture predictions and forward-plan…