Zoltán Perkó

Associate Professor

Delft University of Technology

Netherlands

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Zoltán Perkó is an Associate Professor at Delft University of Technology in the Netherlands. His research focuses on the application of deep learning and probabilistic modeling in proton therapy and radiotherapy, with recent articles addressing topics such as anatomical changes in head and neck cancer treatment and the optimization of intensity-modulated proton therapy (IMPT) planning. He is actively engaged in advancing techniques for robust treatment planning and evaluation in neuro-oncological patients.

Articles (16)

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2026

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2021

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2021

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2021

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2021

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2021

Collaborators (4)

Danny Lathouwers

Associate professor

Delft University of Technology

NETHERLANDS

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Yusuke Nomura

National Institutes for Quantum and Radiological Science and Technology

JAPAN

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Sebastiaan Breedveld

Erasmus University Medical Center

NETHERLANDS

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Dennis Schaart

Delft University of Technology

NETHERLANDS

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Zoltán Perkó

Research Interests

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Articles (16)

Latent space modeling of parametric and time-dependent PDEs using neural ODEs

Probabilistic evaluation guided IMPT planning with realistic setup and range uncertainties improves the trade-off between OAR sparing and target coverage in neuro-oncological patients

A deep learning model for inter-fraction head and neck anatomical changes in proton therapy

A fast and robust constraint-based online re-optimization approach for automated online adaptive intensity modulated proton therapy in head and neck cancer

A probabilistic evaluation of the Dutch robustness and model-based selection protocols for Head-and-Neck IMPT: A multi-institutional study

Yet anOther Dose Algorithm (YODA) for independent computations of dose and dose changes due to anatomical changes

Robustness analysis of CTV and OAR dose in clinical PBS-PT of neuro-oncological tumors: prescription-dose calibration and inter-patient variation with the Dutch proton robustness evaluation protocol

PTV-based VMAT vs. robust IMPT for Head-and-Neck Cancer: A probabilistic uncertainty analysis of clinical plan evaluation with the Dutch model-based selection

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

A Deterministic Adjoint-Based Semi-Analytical Algorithm for Fast Response Change Computations in Proton Therapy

Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy

How should we model and evaluate breathing interplay effects in IMPT?

Analysis of the Molten Salt Fast Reactor using reduced-order models

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

Preliminary uncertainty and sensitivity analysis of the Molten Salt Fast Reactor steady-state using a Polynomial Chaos Expansion method

Technical Note: Investigating interplay effects in pencil beam scanning proton therapy with a 4D XCAT phantom within the RayStation treatment planning system

Collaborators (4)

Danny Lathouwers

Yusuke Nomura

Sebastiaan Breedveld

Dennis Schaart

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