Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning

Dan Nguyen, Azar Sadeghnejad Barkousaraie, Chenyang Shen, Xun Jia, Steve Jiang

Type: Book-Chapter

Publication Date: 2019-01-01

Citations: 22

DOI: https://doi.org/10.1007/978-3-030-32226-7_7

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Lecture notes in computer science - View
arXiv (Cornell University) - View - PDF

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Works That Cite This (9)

Action	Title	Year	Authors
+ PDF Chat	Volumetric dose extension for isodose tuning	2022	Lin Ma Mingli Chen Xuejun Gu Weiguo Lu
+	A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks	2020	Dan Nguyen Azar Sadeghnejad Barkousaraie Gyanendra Bohara Anjali Balagopal Rafe McBeth Mu‐Han Lin Steve Jiang
+ PDF Chat	Using deep learning to predict beam‐tunable Pareto optimal dose distribution for intensity‐modulated radiation therapy	2020	Gyanendra Bohara Azar Sadeghnejad Barkousaraie Steve Jiang Dan Nguyen
+ PDF Chat	Site‐agnostic 3D dose distribution prediction with deep learning neural networks	2022	Maryam Mashayekhi Itzel Ramirez Tapia Anjali Balagopal Xinran Zhong Azar Sadeghnejad Barkousaraie Rafe McBeth Mu‐Han Lin Steve Jiang Dan Nguyen
+	Volumetric dose extension for isodose tuning	2021	Lin Ma Mingli Chen Xuejun Gu Weiguo Lu
+ PDF Chat	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	2019	Dan Nguyen Rafe McBeth Azar Sadeghnejad Barkousaraie Gyanendra Bohara Chenyang Shen Xun Jia Steve Jiang
+	A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks	2021	Dan Nguyen Azar Sadeghnejad Barkousaraie Gyanendra Bohara Anjali Balagopal Rafe McBeth Mu‐Han Lin Steve Jiang
+ PDF Chat	Improving efficiency of training a virtual treatment planner network via knowledge‐guided deep reinforcement learning for intelligent automatic treatment planning of radiotherapy	2021	Chenyang Shen Liyuan Chen Yesenia Gonzalez Xun Jia
+	Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks.	2021	Maryam Mashayekhi Itzel Ramirez Tapia Anjali Balagopal Xinran Zhong Azar Sadeghnejad Barkousaraie Rafe McBeth Mu‐Han Lin Steve Jiang Dan Nguyen

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+	Scalarization in Multi Objective Optimization	1985	Johannes Jahn
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock
+	Self-Normalizing Neural Networks	2017	Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter
+	Threshold-driven optimization for reference-based auto-planning	2018	Troy Long Mingli Chen Steve Jiang Weiguo Lu
+ PDF Chat	A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning	2019	Dan Nguyen Troy Long Xun Jia Weiguo Lu Xuejun Gu Zohaib Iqbal Steve Jiang
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger
+ PDF Chat	Knowledge‐based automated planning with three‐dimensional generative adversarial networks	2019	Aaron Babier Rafid Mahmood Andrea McNiven Adam Diamant Timothy C. Y. Chan
+ PDF Chat	3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture	2019	Dan Nguyen Xun Jia David J. Sher Mu-Han Lin Zohaib Iqbal Hui Liu Steve Jiang