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20152021
most citedHigh-dose-rate prostate brachytherapy inverse planning on dose-volume criteria by simulated annealing

35 citations · 55 across the 4 of their papers we have counts for

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physics.med-ph2021

Comment on `Linear energy transfer incorporated intensity modulated proton therapy optimization'

Bram L Gorissen

Cao et al (2018) published an article on inverse planning based on dose-averaged linear energy transfer (LET). Their claim that the problem can be cast as a linear optimization mod…

physics.med-ph20213 cited

Guaranteed -optimal solutions with the linear optimizer ART3+O

Bram L. Gorissen

The linear optimization algorithm ART3+O introduced by Chen et al. (2010) can efficiently solve large scale inverse planning problems encountered in radiation therapy by iterative…

physics.med-ph2018

Mathematical optimization of treatment schedules

Bram L. Gorissen, Jan Unkelbach, Thomas R. Bortfeld

In the past decades mathematical optimization has found its way into radiation therapy and has made profound practice changing impact. Today, virtually all advanced treatment deliv…

physics.med-ph201735 cited

High-dose-rate prostate brachytherapy inverse planning on dose-volume criteria by simulated annealing

Timo M. Deist, Bram L. Gorissen

High-dose-rate brachytherapy is a tumor treatment method where a highly radioactive source is brought in close proximity to the tumor. In this paper we develop a simulated annealin…

physics.med-ph2016

Dwell time modulation restrictions do not necessarily improve treatment plan quality for prostate HDR brachytherapy

Marleen Balvert, Bram Gorissen, Dick den Hertog +1

Inverse planning algorithms for dwell time optimisation in interstitial high-dose-rate (HDR) brachytherapy may produce solutions with large dwell time variations within catheters,…

physics.med-ph201517 cited

Comment on "Comparative evaluation of two dose optimization methods for image-guided, highly-conformal, tandem and ovoids cervix brachytherapy planning"

Bram L. Gorissen, Aswin L. Hoffmann

Comparison of optimization algorithms for inverse treatment planning requires objective function value evaluation.