Search Results - Vanderstraeten, Reynald

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  1. 1
    Using multi-centre data to train and validate a knowledge-based model for planning radiotherapy of the head and neck

    Using multi-centre data to train and validate a knowledge-based model for planning radiotherapy of the head and neck by Frizzelle, Miranda, Pediaditaki, Athanasia, Thomas, Christopher, South, Christopher, Vanderstraeten, Reynald, Wiessler, Wolfgang, Adams, Elizabeth, Jagadeesan, Surendran, Lalli, Narinder

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  2. 2
    Fast, Automated, Knowledge-Based Treatment Planning for Selecting Patients for Proton Therapy Based on Normal Tissue Complication Probabilities

    Fast, Automated, Knowledge-Based Treatment Planning for Selecting Patients for Proton Therapy Based on Normal Tissue Complication Probabilities by Hytönen, Roni, Vergeer, Marije R., Vanderstraeten, Reynald, Koponen, Timo K., Smith, Christel, Verbakel, Wilko F.A.R.

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  3. 3
    The role of a knowledge based dose–volume histogram predictive model in the optimisation of intensity-modulated proton plans for hepatocellular carcinoma patients: Training and validation of a novel commercial system

    The role of a knowledge based dose–volume histogram predictive model in the optimisation of intensity-modulated proton plans for hepatocellular carcinoma patients: Training and val... by Cozzi, Luca, Vanderstraeten, Reynald, Fogliata, Antonella, Chang, Feng-Ling, Wang, Po-Ming

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  4. 4
    The role of a knowledge based dose–volume histogram predictive model in the optimisation of intensity-modulated proton plans for hepatocellular carcinoma patients

    The role of a knowledge based dose–volume histogram predictive model in the optimisation of intensity-modulated proton plans for hepatocellular carcinoma patients by Cozzi Luca, Vanderstraeten Reynald, Fogliata Antonella, Feng-Ling, Chang, Po-Ming, Wang

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  5. 5
    Selective robust optimization: A new intensity‐modulated proton therapy optimization strategy

    Selective robust optimization: A new intensity‐modulated proton therapy optimization strategy by Li, Yupeng, Niemela, Perttu, Liao, Li, Jiang, Shengpeng, Li, Heng, Poenisch, Falk, Zhu, X. Ronald, Siljamaki, Sami, Vanderstraeten, Reynald, Sahoo, Narayan, Gillin, Michael, Zhang, Xiaodong

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  6. 6
    Toward automatic beam angle selection for pencil‐beam scanning proton liver treatments: A deep learning–based approach

    Toward automatic beam angle selection for pencil‐beam scanning proton liver treatments: A deep learning–based approach by Kaderka, Robert, Liu, Keng‐Chi, Liu, Lawrence, VanderStraeten, Reynald, Liu, Tyng‐Luh, Lee, Kuang‐Min, Tu, Yi‐Chin Ethan, MacEwan, Iain, Simpson, Daniel, Urbanic, James, Chang, Chang

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  7. 7
    Influence of Beam Angle on Normal Tissue Complication Probability of Knowledge-Based Head and Neck Cancer Proton Planning

    Influence of Beam Angle on Normal Tissue Complication Probability of Knowledge-Based Head and Neck Cancer Proton Planning by Hytönen, Roni, Vanderstraeten, Reynald, Dahele, Max, Verbakel, Wilko F A R

    Published in Cancers
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  8. 8
    A benchmarking method to evaluate the accuracy of a commercial proton monte carlo pencil beam scanning treatment planning system

    A benchmarking method to evaluate the accuracy of a commercial proton monte carlo pencil beam scanning treatment planning system by Lin, Liyong, Huang, Sheng, Kang, Minglei, Hiltunen, Petri, Vanderstraeten, Reynald, Lindberg, Jari, Siljamaki, Sami, Wareing, Todd, Davis, Ian, Barnett, Allen, McGhee, John, Simone, Charles B., Solberg, Timothy D., McDonough, James E., Ainsley, Christopher

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