All Stories

  1. Reinforcement learning for real-time adaptive radiotherapy
  2. Deep learning‐based dose prediction for magnetic resonance‐guided prostate radiotherapy
  3. The Quality Assurance of a 1.5 T MR-Linac
  4. Dosimetric validation of the couch and coil model for high-field MR-linac treatment planning
  5. PO-1930 The potential benefit of adaptive MR-Linac radiotherapy over proton and photon for rectal cancer
  6. PO-1730 Logfile based automatic patient QA for daily MR guided adaptive radiotherapy
  7. Adaptive dose painting for prostate cancer
  8. Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy
  9. PO-1713 DVH based evaluation of dose accumulation in an adaptive MR-linac workflow
  10. Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy
  11. End-to-end validation of the geometric dose delivery performance of MR linac adaptive radiotherapy
  12. PH-0530: End-to-end measured geometric dose delivery accuracy and precision in MR linac adapted radiotherapy
  13. Probabilistic optimization of dose coverage in radiotherapy
  14. OC-0445: Probabilistic optimization of the dose coverage – applied to treatment planning of cervical cancer
  15. Dose coverage calculation using a statistical shape model—applied to cervical cancer radiotherapy
  16. Fast dose calculation for fractionated radiotherapy treatments
  17. PO-0888: Fast calculation of dose coverage probability in fractionated IMRT
  18. Dose mapping sensitivity to deformable registration uncertainties
  19. ACCUMULATING DOSE FROM A 4D GEOMETRY BY AN ENERGY CONSERVING INTERPOLATION SCHEME