5 papers
A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC
Alessandro Longhi, Danny Lathouwers, Zoltán Perkó
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…
Angle dependent dose transformer algorithm for fast proton therapy dose calculations
MikoÅaj Stryja, Danny Lathouwers, Zoltán Perkó
Accurate 3D dose calculation for Pencil Beam Scanning Proton Therapy (PBSPT) is typically performed with Monte Carlo (MC) engines, but their runtimes limit adaptive workflows and r…
An AI dose engine for fast carbon ion treatment planning
Anastasiia Quarz, Angelica De Gregorio, Gaia Franciosini +7
Monte Carlo (MC) simulations provide gold-standard accuracy for carbon ion therapy dose calculations but are computationally intensive. Analytical pencil beam algorithms offer spee…
Probabilistic Proton Treatment Planning: a novel approach for optimizing underdosage and overdosage probabilities of target and organ structures
Jelte R. de Jong, Sebastiaan Breedveld, Steven J. M. Habraken +3
Treatment planning uncertainties are typically managed using margin-based or robust optimization. Margin-based methods expand the clinical target volume (CTV) to a planning target…
A deep learning model for inter-fraction head and neck anatomical changes
Tiberiu Burlacu, Mischa Hoogeman, Danny Lathouwers +1
Objective: To assess the performance of a probabilistic deep learning based algorithm for predicting inter-fraction anatomical changes in head and neck patients. Approach: A probab…