3 papers
physics.med-ph2023
Joint k-TE Space Image Reconstruction and Data Fitting for T2 Mapping
Yan Dai, Xun Jia, Yen-Peng Liao +2
Objectives: To develop a joint k-TE reconstruction algorithm to reconstruct the T2-weighted (T2W) images and T2 map simultaneously. Materials and Methods: The joint k-TE reconstruc…
physics.med-ph2020
Improving Efficiency of Training a Virtual Treatment Planner Network via Knowledge-guided Deep Reinforcement Learning for Intelligent Automatic Treatment Planning of Radiotherapy
Chenyang Shen, Liyuan Chen, Yesenia Gonzalez +1
We previously proposed an intelligent automatic treatment planning framework for radiotherapy, in which a virtual treatment planner network (VTPN) was built using deep reinforcemen…
physics.med-ph2017
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
Dan Nguyen, Troy Long, Xun Jia +4
With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have improved, but at the cost of increased treatment plan complexity and planning t…