activity
20202023
most citedA probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy

13 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

physics.med-ph2023★ 1 cited

Characterisation of the HollandPTC R&D proton beamline for physics and radiobiology studies

M. Rovituso, C. F. Groenendijk, E. van der Wal +10

HollandPTC is an independent outpatient center for proton therapy, scientific research, and education. Patients with different types of cancer are treated with Intensity Modulated…

physics.med-ph2023

A Geant4 Based Simulation Platform of the HollandPTC R&D Proton Beamline for Radiobiological Studies

C. F. Groenendijk, M. Rovituso, D. Lathouwers +1

A Geant4 based simulation platform of the Holland Proton Therapy Centre (HollandPTC, Netherlands) R&D beamline (G4HPTC-R&D) was developed to enable the planning, optimisation and a…

physics.med-ph2022★ 13 cited

A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy

Oscar Pastor-Serrano, Steven Habraken, Mischa Hoogeman +5

In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. Motion models can be used to simulate motion pattern…

physics.med-ph2022

A deterministic adjoint-based semi-analytical algorithm for fast response change computations in proton therapy

Tiberiu Burlacu, Danny Lathouwers, Zoltán Perkó

In this paper we propose a solution to the need for a fast particle transport algorithm in Online Adaptive Proton Therapy capable of cheaply, but accurately computing the changes i…

math.NA2020

An Angular Multigrid Preconditioner for the Radiation Transport Equation with Forward-Peaked Scatter

Danny Lathouwers, Zoltan Perko

In a previous paper (Lathouwers and Perkó, 2019) we have developed an efficient angular multigrid preconditioner for the Boltzmann transport equation with forward-peaked scatter mo…

cs.LG2020

A semi-supervised autoencoder framework for joint generation and classification of breathing

Oscar Pastor-Serrano, Danny Lathouwers, Zoltán Perkó

One of the main problems with biomedical signals is the limited amount of patient-specific data and the significant amount of time needed to record the sufficient number of samples…