06:30 |
Fahed Alsanea: Managing uncertainties in proton therapy |
07:30 |
Gilmer Valdes: AI applications in radiation oncology: outcome prediction and adaptive therapy |
08:30 |
Carlos Granja: Detection and characterization of fast and thermal neutrons in proton and ion radiotherapy secondary fields |
09:00 |
Cristina Oancea: Conventional and FLASH proton and electron beams characterization based on secondary and scattered particles: beam structure, DR, FLUX, LET |
09:30 |
Paulina Stasica: Single proton LET characterization with the Timepix detector and artificial intelligence for advanced proton therapy treatment planning |
10:00 |
Jan Gajewski: Single proton LET spectra scoring in Monte Carlo codes for applications in proton radiotherapy |
10:30 |
Antoni Rucinski: Investigations of 3D-printed and commercial plastic scintillators for dosimetry applications ( Talk given by Antoni Rucinski ) |
10:45 |
Antoni Rucinski: Designing a flexible treatment plan optimization tool for proton therapy based on Python environment and GPU acceleration ( Talk given by Antoni Rucinski ) |
11:00 |
Niklas Wahl: Beyond nominal dose calculation and optimization – v3 of the open-source treatment planning toolkit matRad |
11:30 |
Jennifer Hardt: Range Guided Treatment Planning Using Mixed Carbon- Helium Beams |
13:00 |
Nils Krah: Development of Gate 10 - a new python-based Geant4 application for simulations in medical physics and medical imaging |
13:30 |
Michael Moyers: A multi-stage Approach for Optimizing Light Ion Beam Portal Sets |
14:00 |
Hanh Nguyen: Deep Reinforcement Learning based Automatic Treatment Planning for Gamma Knife Radiosurgery |
14:30 |
Mohan Saxena: Characterization of a Positive Ion VOC Detector for Cancer Detection: (Introduction to VOC Cancer Diagnosis by Kristiana Rood) |
15:00 |
Eli Haynal: Signal Analysis Program for VOC Detection - Work in progress |