12 citations · 30 across the 9 of their papers we have counts for
13 papers · 1 filter
Interactive Treatment Planning in High Dose-Rate Brachytherapy for Gynecological Cancer
Huan Liu, Chang M Ma, Xun Jia +3
High dose-rate brachytherapy (HDRBT) is widely used for gynecological cancer treatment. Although commercial treatment planning systems (TPSs) have inverse optimization modules, it…
A Feasibility Study on Deep Learning Based Individualized 3D Dose Distribution Prediction
Jianhui Ma, Dan Nguyen, Ti Bai +5
Purpose: Radiation therapy treatment planning is a trial-and-error, often time-consuming process. An optimal dose distribution based on a specific anatomy can be predicted by pre-t…
Experimental and numerical studies on kV scattered x-ray imaging for real-time image guidance in radiation therapy
Yanqi Huang, Kai Yang, Youfang Lai +7
Motion management is a critical component of image guidance radiotherapy for lung cancer. We previously proposed a scheme using kV scattered x-ray photons for marker-less real-time…
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy
Dan Nguyen, Rafe McBeth, Azar Sadeghnejad Barkousaraie +4
We propose a novel domain specific loss, which is a differentiable loss function based on the dose volume histogram, and combine it with an adversarial loss for the training of dee…
Generating Pareto optimal dose distributions for radiation therapy treatment planning
Dan Nguyen, Azar Sadeghnejad Barkousaraie, Chenyang Shen +2
Radiotherapy treatment planning currently requires many trail-and-error iterations between the planner and treatment planning system, as well as between the planner and physician f…
Intelligent Inverse Treatment Planning via Deep Reinforcement Learning, a Proof-of-Principle Study in High Dose-rate Brachytherapy for Cervical Cancer
Chenyang Shen, Yesenia Gonzalez, Peter Klages +6
Inverse treatment planning in radiation therapy is formulated as optimization problems. The objective function and constraints consist of multiple terms designed for different clin…