Danny Lathouwers

Direct probabilistic IMPT treatment planning with setup and range errors for neuro-oncological patients

Abstract Objective . To show computational feasibility of a previously proposed probabilistic planning approach on a neuro-oncological patient group, we compared probabilistic plans with (automated) robust plans for one patient (group A) that could achieve sufficient clinical tar...

A deep learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC

Integral codes like the Accident Source Term Evaluation Code (ASTEC) are powerful tools to study the physics of Severe Accidents (SAs) in nuclear reactors. Real time SA simulators can also be helpful in training operators of nuclear plants to react correctly to malfunctions. Howe...