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Arjen van der Schaaf

Showing results (1-10 of 71) with videos related to

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Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 17, 2021
Can the mean linear energy transfer of organs be directly related to patient toxicities for current head and neck cancer intensity-modulated proton therapy practice?Dirk Wagenaar, Ewoud Schuit, Arjen van der Schaaf, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 24, 2024
Risk reduction of radiation-induced aspiration by sparing specific aspiration-related-organs at risk; an in silico feasibility studyHans Paul van der Laan, Agata Gawryszuk, Arjen van der Schaaf, et al.
International Journal of Radiation Oncology, Biology, Physics|February 15, 2015
Embracing phenomenological approaches to normal tissue complication probability modeling: a question of methodArjen van der Schaaf, Arjien van der Schaaf, Johannes Albertus Langendijk, et al.
Plos One|June 2, 2015
Quantitative comparison of commercial and non-commercial metal artifact reduction techniques in computed tomographyDirk Wagenaar, Emiel R van der Graaf, Arjen van der Schaaf, et al.
International Journal of Radiation Oncology, Biology, Physics|January 17, 2012
Impact of statistical learning methods on the predictive power of multivariate normal tissue complication probability modelsCheng-Jian Xu, Arjen van der Schaaf, Cornelis Schilstra, et al.
International Journal of Radiation Oncology, Biology, Physics|May 1, 2012
Statistical validation of normal tissue complication probability modelsCheng-Jian Xu, Arjen van der Schaaf, Aart A Van't Veld, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 22, 2011
Feasibility and accuracy of tissue characterization with dual source computed tomographyJoanne K Van Abbema, Arjen Van der Schaaf, Wisnu Kristanto, et al.
Cancers|February 15, 2022
A Decision Support Tool to Optimize Selection of Head and Neck Cancer Patients for Proton TherapyMakbule Tambas, Hans Paul van der Laan, Arjen van der Schaaf, et al.
Plos One|July 18, 2018
Development of a prediction model for late urinary incontinence, hematuria, pain and voiding frequency among irradiated prostate cancer patientsWouter Schaake, Arjen van der Schaaf, Lisanne V van Dijk, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 24, 2012
Multivariate modeling of complications with data driven variable selection: guarding against overfitting and effects of data set sizeArjen van der Schaaf, Cheng-Jian Xu, Peter van Luijk, et al.
Pageof 8

Showing results (1-10 of 71) with videos related to

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Pageof 8
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 17, 2021
Can the mean linear energy transfer of organs be directly related to patient toxicities for current head and neck cancer intensity-modulated proton therapy practice?Dirk Wagenaar, Ewoud Schuit, Arjen van der Schaaf, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 24, 2024
Risk reduction of radiation-induced aspiration by sparing specific aspiration-related-organs at risk; an in silico feasibility studyHans Paul van der Laan, Agata Gawryszuk, Arjen van der Schaaf, et al.
International Journal of Radiation Oncology, Biology, Physics|February 15, 2015
Embracing phenomenological approaches to normal tissue complication probability modeling: a question of methodArjen van der Schaaf, Arjien van der Schaaf, Johannes Albertus Langendijk, et al.
Plos One|June 2, 2015
Quantitative comparison of commercial and non-commercial metal artifact reduction techniques in computed tomographyDirk Wagenaar, Emiel R van der Graaf, Arjen van der Schaaf, et al.
International Journal of Radiation Oncology, Biology, Physics|January 17, 2012
Impact of statistical learning methods on the predictive power of multivariate normal tissue complication probability modelsCheng-Jian Xu, Arjen van der Schaaf, Cornelis Schilstra, et al.
International Journal of Radiation Oncology, Biology, Physics|May 1, 2012
Statistical validation of normal tissue complication probability modelsCheng-Jian Xu, Arjen van der Schaaf, Aart A Van't Veld, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 22, 2011
Feasibility and accuracy of tissue characterization with dual source computed tomographyJoanne K Van Abbema, Arjen Van der Schaaf, Wisnu Kristanto, et al.
Cancers|February 15, 2022
A Decision Support Tool to Optimize Selection of Head and Neck Cancer Patients for Proton TherapyMakbule Tambas, Hans Paul van der Laan, Arjen van der Schaaf, et al.
Plos One|July 18, 2018
Development of a prediction model for late urinary incontinence, hematuria, pain and voiding frequency among irradiated prostate cancer patientsWouter Schaake, Arjen van der Schaaf, Lisanne V van Dijk, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 24, 2012
Multivariate modeling of complications with data driven variable selection: guarding against overfitting and effects of data set sizeArjen van der Schaaf, Cheng-Jian Xu, Peter van Luijk, et al.
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