Georgios TsekasUniversity Medical Center Utrecht | UMC Utrecht · Department of Radiotherapy
Georgios Tsekas
Master of Science
About
4
Publications
126
Reads
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16
Citations
Citations since 2017
Introduction
Additional affiliations
January 2020 - present
June 2019 - December 2019
Position
- Master's Student
November 2018 - April 2019
Position
- Working student
Description
- Machine learning based prediction of response to palliative radiation therapy of spinal bone metastases
Education
October 2017 - December 2019
October 2010 - October 2016
Publications
Publications (4)
In this work we present a framework for robust deep learning-based VMAT forward dose calculations for the 1.5T MR-Linac. A convolutional neural network was trained on the dose of individual multi-leaf-collimator VMAT segments and was used to predict the dose per segment for a set of MR-Linac-deliverable VMAT test plans. The training set consisted o...
We present a robust deep learning-based framework for dose calculations of abdominal tumours in a 1.5 T MRI radiotherapy system. For a set of patient plans, a convolutional neural network is trained on the dose of individual multi-leaf-collimator segments following the DeepDose framework. It can then be used to predict the dose distribution per seg...
Palliative radiation therapy (RT) of painful spinal bone metastases (SBM) achieves a pain response in approximately two-thirds of treated patients. A better understanding of predictive factors for pain response may help to personalize therapy decisions. Machine learning (ML) provides the possibility to model complex interactions between predictive...
