Grid and basis adaptive polynomial chaos techniques for sensitivity and uncertainty analysis. - Zoltán Perkó; Luca Gilli; Danny Lathouwers; Jan Leen Kloosterman (J. Comput. Phys., 2014)

An angular multigrid preconditioner for the radiation transport equation with Fokker-Planck scattering. - Danny Lathouwers; Zoltán Perkó (J. Comput. Appl. Math., 2019)

A nonintrusive reduced order modelling approach using Proper Orthogonal Decomposition and locally adaptive sparse grids. - Fahad Alsayyari; Zoltán Perkó; Danny Lathouwers; Jan Leen Kloosterman (J. Comput. Phys., 2019)

An Angular Multigrid Preconditioner for the Radiation Transport Equation with Forward-Peaked Scatter. - Danny Lathouwers; Zoltán Perkó (CoRR, 2020)

Modeling biomedical breathing signals with convolutional deep probabilistic autoencoders. - Oscar Pastor-Serrano; Danny Lathouwers; Zoltán Perkó (CoRR, 2020)

A semi-supervised autoencoder framework for joint generation and classification of breathing. - Oscar Pastor-Serrano; Danny Lathouwers; Zoltán Perkó (Comput. Methods Programs Biomed., 2021)

Learning the Physics of Particle Transport via Transformers. - Oscar Pastor-Serrano; Zoltán Perkó (AAAI, 2022)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs. - Alessandro Longhi; Danny Lathouwers; Zoltán Perkó (CoRR, 2025)