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20172021
most citedIntelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning

7 citations · 7 across the 3 of their papers we have counts for

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physics.med-ph2021

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…

physics.med-ph2020

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…

physics.med-ph2019

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…

physics.med-ph2019

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…

physics.med-ph2018

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…

physics.med-ph2018

Low dose CT reconstruction assisted by an image manifold prior

Guoyang Ma, Chenyang Shen, Xun Jia

X-ray Computed Tomography (CT) is an important tool in medical imaging to obtain a direct visualization of patient anatomy. However, the x-ray radiation exposure leads to the conce…