Flash talks at the DCCC RT annual meeting by DCPT-based researchers

 

  • Anders Tobias Frederiksen: Water tank phantom for proton in vitro studies: A proof of concept
  • Anne Wilhøft Kristensen: Barriers affecting participation in a randomized trial comparing radiotherapy with photons and protons among Danish patients with head and neck cancer
  • Marie Tvilum: Exploring the benefits of adaptive radiotherapy in patients with NSCLC
  • Simon Nyberg Thomsen: The importance of adaptive radiotherapy for NSCLC patients receiving dose escalation
  • Simon Skouboe: Real-time motion-including dose reconstruction for pencil-beam scanning proton therapy
  • Eleni Kanouta: Time-resolved dose rate measurements in pencil beam scanning proton FLASH irradiations with a fiber-coupled scintillator detector system
  • Emma Riis Skarsø: Development of national DBCG deep learning-based auto-segmentation model of the CTVn_IMN
  • Jesper Folsted Kallehauge: Deep Learning segmentation of structures for Cranial Spinal Irradiation (CSI)
  • Kim Hochreuter: Automated Segmentation of Tumor and Brain Barriers in Glioblastoma Patients
  • Lasse Refsgaard: Automated collection of a large retrospective national DICOM dataset – DBCG RT Nation
  • Mathis Ersted Rasmussen: How to implement fancy computational models seamlessly into the clinic
  • Fardous Reaz: Optimization of the metal collimator for proton GRID radiation therapy (PGRT)
  • Nadine Vatterodt: The potential of including anatomical error scenarios for nasal cavity filling in robust optimized proton therapy treatment plans
  • Sky Rohrer: Deep-inspiration breath-hold reproducibility in cine MV images of IMRT lung treatments
  • Villads Lundsteen Jacobsen: Uncovering proton boron capture therapy: A Monte Carlo study of high-LET particle production in clinical proton beams