Artificial Intelligence in Radiotherapy: Probabilistic Deep Learning for Dose Prediction and Anatomy Modeling

Research output: ThesisDissertation (TU Delft)

46 Downloads (Pure)
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Hoogeman, M.S., Supervisor
  • Schaart, D.R., Supervisor
  • Perko, Z., Advisor
Award date1 May 2023
Print ISBNs978-94-6419-790-7
DOIs
Publication statusPublished - 2023

Keywords

  • Radiation therapy
  • deep learning
  • treatment plan robustness
  • interfraction uncertainties
  • intra-fraction uncertainties
  • latent variable models
  • generativemodels
  • anatomy models
  • convolutional neural networks, transformer neural networks, autoencoder, radiation dose calculation, breathing interplay effects

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