Past and current student supervision
 PhD students

  1. van Zon M. (ongoing)
  2. de Jong J. (ongoing)
  3. Nomer H. (ongoing)
  4. van Genderingen J. (ongoing)
  5. Kong W. (ongoing)
  6. Koteva V. (ongoing)
  7. Oud M. (ongoing) On adaptive proton therapy
  8. Schipaanboord B. (2022) Fully Automated Treatment Planning Solutions for Robotic Radiotherapy Thesis
  9. Van Haveren R. (2021) Automatic Configuration of Fast Automated Multi-Objective Treatment Planning in Radiotherapy Thesis
  10. Rossi L. (2020) Automated treatment planning and non-coplanar beam angles in radiotherapy Thesis
  11. Jagt T. (2020) Automated Online-Adaptive Intensity-Modulated Proton Therapy Thesis
Post-docs

  1. Knuth F. (ongoing)
  2. Davarynejad M. (2014)

Internships

  1. Spek B. (2022) MSc project, Delft University of Technology
  2. Da Cruz Gonçalves Dos Santos T. (2022) MSc project, University of Lisbon
  3. Van der Valk Bouman J. (2022) MSc project, Delft University of Technology
  4. Mühlsteff J. (2021) Treatment planning of intensity modulated proton therapy by using sparsity inducement for spot selection MSc project, Delft University of Technology
  5. van Houwelingen I. (2021) Improving segmentation in VMAT planning MSc internship, Delft University of Technology
  6. Dijkstra J. (2020) Assessment of Very High Energy Electrontherapy as a clinicalmodality for externalbeam therapy MSc project, Delft University of Technology
  7. Rituerto Prieto M. (2019) Auto-configuration of LRPM with clinically (manually planned) dose distributions MSc internship, Delft University of Technology
  8. Oud M. (2019) Automated multi-criterial treatment planning for high-dose-rate brachytherapy for locally advanced cervical cancer MSc project, Delft University of Technology
  9. Vos K. (2019) Identifying the most relevant cost-functions for radiotherapy treatment planning with multicriteria optimisation BSc project, Delft University of Technology
  10. Janssen A-F. (2019) Beamlet selection and energy layer reduction in IMPT by sparsity induced optimisation BSc project, Delft University of Technology
  11. Meijer S. (2019) Texture Analysis Feature Optimization for Intensity-Modulated Radiation Therapy MSc project, Delft University of Technology
  12. Bennan A. (2017) Automated Treatment Planning in HDR Brachytherapy for Prostate Cancer MSc project, Delft University of Technology
  13. Mühlsteff J. (2017) Shortest Path Optimisation of the CyberKnife treatment in Radiotherapy BSc project, Delft University of Technology
  14. Wensing I. (2016) Using collected patient’s data to configure treatment plans for new patients in radiotherapy BSc project, Delft University of Technology
  15. Ruckstuhl Y. (2014) Investigation of Different Solvers for Radiotherapy Treatment Planning Problems MSc project, Delft University of Technology
  16. Lindenberg K. (2014) Quantifying Decisions in Radiotherapy Treatment Planning MSc internship, Delft University of Technology
  17. Van Haveren R. (2014) Lexicographic Reference Point Method for Automatic Treatment Planning in Radiation Therapy MSc project, Delft University of Technology
  18. Jacobs R. (2014) Multileaf collimator optimisation for column generation in radiotherapy BSc project, Delft University of Technology
  19. Van Haveren R. (2013) Exploring high-quality treatment plan generation using modified Multiple Reference Point Methods MSc internship, Delft University of Technology
  20. Boogaart E. (2013) Smart multi-criteria optimization for radiotherapy BSc project, Delft University of Technology
  21. Rossi L. (2011) Prostate cancer dose optimization with a robotic CyberKnife X-ray unit extended with a dynamic multi-leaf collimator MSc project, Alma Mater Studiorum - Università di Bologna, Italy
  22. Sangers A. (2011) Modification on an implementation for nonconvex nonlinear multi-criteria radiation therapy optimization by using a barrier method with an SQP iteration and trust regions MSc internship, Delft University of Technology
  23. Van Everdingen A. (2007) Fast convolutions in a pencil beam algorithm MSc internship, Delft University of Technology
  24. Manios K. (2006) Lucy: an application for visualization and processing of data in radiotherapy treatment planning BSc project, Amsterdam University of Applied Science