Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods-Reference-Cited by-同舟云学术

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Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods

Published:2019-07 Issue:3 Volume:31 Page:544-558
ISSN:1091-9856
Container-title:INFORMS Journal on Computing
language:en
Short-container-title:INFORMS Journal on Computing

Author:

Ungun Baris¹^ORCID,Xing Lei²^ORCID,Boyd Stephen³

Affiliation:

1. Department of Bioengineering, Stanford University, Stanford, California 94305;

2. Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305;

3. Department of Electrical Engineering, Stanford University, Stanford, California 94305

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

Reference58 articles.

1. An Automated Intensity-Modulated Radiation Therapy Planning System

2. A Response Surface Approach to Beam Orientation Optimization in Intensity-Modulated Radiation Therapy Treatment Planning

3. Interior point algorithms: guaranteed optimality for fluence map optimization in IMRT

4. Predicting dose-volume histograms for organs-at-risk in IMRT planning

5. A New Sequential Extraction Heuristic for Optimizing the Delivery of Cancer Radiation Treatment Using Multileaf Collimators

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1. Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes;INFORMS Journal on Computing;2024-09-05

2. Efficient radiation treatment planning based on voxel importance;Physics in Medicine & Biology;2024-08-09

3. SISS-MCO: large scale sparsity-induced spot selection for fast and fully-automated robust multi-criteria optimisation of proton plans;Physics in Medicine & Biology;2024-02-29

4. Clustering then Estimation of Spatio-Temporal Self-Exciting Processes;2024

5. Implicit neural representation for radiation therapy dose distribution;Physics in Medicine & Biology;2022-06-13

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