3 papers
physics.med-ph2024
A comprehensive liver CT landmark pair dataset for evaluating deformable image registration algorithms
Zhendong Zhang, Edward Robert Criscuolo, Yao Hao +1
Purpose: Evaluating deformable image registration (DIR) algorithms is vital for enhancing algorithm performance and gaining clinical acceptance. However, there's a notable lack of…
cs.AI2024
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy
Zehao Dong, Yixin Chen, Hiram Gay +4
Treatment planning is currently a patient specific, time-consuming, and resource demanding task in radiotherapy. Dose-volume histogram (DVH) prediction plays a critical role in aut…
eess.IV2023
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy
Xiyao Jin, Yao Hao, Jessica Hilliard +5
To safely deploy deep learning models in the clinic, a quality assurance framework is needed for routine or continuous monitoring of input-domain shift and the models' performance…