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Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pa
We propose a novel domain specific loss, which is a differentiable loss ...
08/16/2019 ∙ by Dan Nguyen, et al. ∙
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Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications
An indoor, real-time location system (RTLS) can benefit both hospitals a...
07/24/2019 ∙ by Guanglin Tang, et al. ∙
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Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture
The treatment planning process for patients with head and neck (H&N) can...
05/25/2018 ∙ by Dan Nguyen, et al. ∙
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Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning
A number of image-processing problems can be formulated as optimization ...
11/01/2017 ∙ by Chenyang Shen, et al. ∙
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Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients
With the advancement of treatment modalities in radiation therapy, outco...
09/26/2017 ∙ by Dan Nguyen, et al. ∙
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