activity
20222025
most citedDeep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans

58 citations · 67 across the 4 of their papers we have counts for

collaborators

4 papers

physics.med-ph2025

Virtual Dosimetrists: A Radiotherapy Training "Flight Simulator"

Skylar S. Gay, Tucker Netherton, Barbara Marquez +7

Effective education in radiotherapy plan quality review requires a robust, regularly updated set of examples and the flexibility to demonstrate multiple possible planning approache…

physics.med-ph2024★ 2 cited

OAR-Weighted Dice Score: A spatially aware, radiosensitivity aware metric for target structure contour quality assessment

Lucas McCullum, Kareem A. Wahid, Barbara Marquez +1

The Dice Similarity Coefficient (DSC) is the current de facto standard to determine agreement between a reference segmentation and one generated by manual / auto-contouring approac…

physics.med-ph2023★ 7 cited

Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

Kareem A. Wahid, Carlos E. Cardenas, Barbara Marquez +8

Deep learning has significantly advanced the potential for automated contouring in radiotherapy planning. In this manuscript, guided by contemporary literature, we underscore three…

physics.med-ph2022★ 58 cited

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…