Learning to Associate Distances with Historical Patient Data to Enable Fine-grained Studying of Late Adverse Effects of Paediatric Radiotherapy: Data, Methodology, and First Results

2016

Presented at the International Conference on the use of Computers in Radiation Therapy

Additional Metadata
Project	3D dose reconstruction for children with long-term follow-up Toward improved decision making in radiation treatment for children with cancer
Conference	International Conference on the use of Computers in Radiation Therapy
Grant	This work was funded by the Stichting Kinderen Kankervrij; grant id Stichting Kinderen Kankervrij - 3D dose reconstruction for children with long-term follow-up Toward improved decision making in radiation treatment for children with cancer
Organisation	Evolutionary Intelligence
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Virgolin, M., Dijk, van, I., Wiersma, J., Ronckers, C., Witteveen, C., Rasch, C., … Bosman, P. (2016). Learning to Associate Distances with Historical Patient Data to Enable Fine-grained Studying of Late Adverse Effects of Paediatric Radiotherapy: Data, Methodology, and First Results. In Proceedings of the 18th International Conference on the use of Computers in Radiation Therapy.

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