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Peter M.A. van Ooijen

University of Groningen - University Medical Center Groningen

SCHOLARLY PAPERS

7

DOWNLOADS

188

TOTAL CITATIONS

0

Scholarly Papers (7)

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1.

A multi-toxicity deep learning approach for normal tissue complication probability modelling in head and neck cancer patients receiving radiotherapy

Number of pages: 46 Posted: 16 Dec 2025 Last Revised: 26 May 2026
D.C. MacRae, L. van der Hoek, Suzanne Petronella Maria de Vette, Hendrike Neh, A Moreno, Clifton D. Fuller, Johannes A. Langendijk, Matias Valdenegro-Toro, Nanna M. Sijtsema, Peter M.A. van Ooijen and Lisanne van Dijk
University of Groningen - Department of Radiation Oncology, affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Groningen, University of Groningen, University of Groningen - Department of Radiation Oncology, University of Groningen - University Medical Center Groningen and University of Texas at Houston - MD Anderson Cancer Center
Downloads 37 (1,263,436)

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Multi-toxicity, Normal Tissue Complication Probability, Deep learning, Radiotherapy, Aspiration, Dysphagia, Sticky saliva, Taste alteration, Xerostomia

2.

Proton Radiography Interpretation with Artificial Intelligence for Treatment Deviation Detection in Proton Therapy

Number of pages: 22 Posted: 12 May 2025
Giuliano Perotti Bernardini, A. Galapon, Gabriel Marmitt, Jeffrey Free, Peter M.A. van Ooijen, Johannes A. Langendijk and Stefan Both
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, University of Groningen and University of Groningen
Downloads 34 (1,263,436)

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Proton radiography, adaptive proton therapy, Deep learning image classification, Proton range uncertainty, Image-based quality assurance, Treatment verification

3.

Multimodal Classification of Coordination Impairments from 2d Videos Using Video Swin Transformer

Number of pages: 9 Posted: 29 Apr 2025
Wei Tang, Peter M.A. van Ooijen, Deborah A. Sival and Natasha M. Maurits
affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, affiliation not provided to SSRN and University of Groningen - University Medical Center Groningen
Downloads 34 (1,263,436)

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Coordinationimpairment, multimodalframework, deeplearning, videoswintransformer

4.

An Evaluation of Uncertainty Quantification Methods and Measures for Deep Learning Outcome Prediction Models in Head and Neck Cancer Radiotherapy

Number of pages: 20 Posted: 15 Jan 2026
D.C. MacRae, L. van der Hoek, Joëlle van Aalst, Suzanne Petronella Maria de Vette, Robert van der Wal, Hendrike Neh, Baoqiang Ma, Nanna M. Sijtsema, Matias Valdenegro-Toro, Peter M.A. van Ooijen and Lisanne van Dijk
University of Groningen - Department of Radiation Oncology, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen, University of Groningen - Department of Radiation Oncology, University of Groningen, University of Groningen - University Medical Center Groningen and University of Texas at Houston - MD Anderson Cancer Center
Downloads 29 (1,332,057)

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outcome prediction, deep learning, Uncertainty Quantification, NTCP, TCP

5.

Comparation of CT/PET/MRI in deep learning models for outcome prediction in oropharyngeal cancer patients

Number of pages: 20 Posted: 02 Apr 2026
Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Johannes A. Langendijk, Peter M.A. van Ooijen, Stefan Both and Nanna M. Sijtsema
University of Groningen - University Medical Center Groningen, University of Groningen, University of Texas at Houston - MD Anderson Cancer Center, University of Groningen, University of Groningen - University Medical Center Groningen, University of Groningen and University of Groningen - Department of Radiation Oncology
Downloads 23 (1,411,822)

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mri, Deep learning, outcome prediction, oropharyngeal cancer

6.

3D deep learning-based NTCP prediction model for radiation pneumonitis in locoregionally advanced-staged lung cancer patients

Number of pages: 18 Posted: 24 Apr 2026
Robert van der Wal, L. van der Hoek, Luis Ricardo DelaO-Arevalo, D.C. MacRae, Olga Chouvalova, Johannes A. Langendijk, Nanna M. Sijtsema, Peter M.A. van Ooijen, Robin Wijsman and Lisanne van Dijk
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Groningen - Department of Radiation Oncology, affiliation not provided to SSRN, University of Groningen, University of Groningen - Department of Radiation Oncology, University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen and University of Texas at Houston - MD Anderson Cancer Center
Downloads 17 (1,481,165)

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Radiation pneumonitis, Radiotherapy, Deep learning, Lung cancer, Toxicity, Machine learning, Normal tissue complication probability.

7.

Deep Learning Ntcp Model for Late Dysphagia after Radiotherapy for Head and Neck Cancer Patients Based on 3d Dose, Ct and Segmentations

Number of pages: 25 Posted: 17 Jul 2025
Suzanne Petronella Maria de Vette, Hendrike Neh, L. van der Hoek, D.C. MacRae, Hung Chu, Agata Bannink-Gawryszuk, Roel J.H.M. Steenbakkers, Peter M.A. van Ooijen, Clifton D. Fuller, Katherine A. Hutcheson, Johannes A. Langendijk, Nanna M. Sijtsema and Lisanne van Dijk
University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen, affiliation not provided to SSRN, University of Groningen - Department of Radiation Oncology, University of Groningen - University Medical Center Groningen, affiliation not provided to SSRN, University of Groningen, University of Groningen - University Medical Center Groningen, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Groningen, University of Groningen - Department of Radiation Oncology and University of Texas at Houston - MD Anderson Cancer Center
Downloads 14 (1,509,872)

Abstract:

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Dysphagia, normal tissue complication probability, Deep learning, Head and neck cancer, Risk prediction, radiotherapy, Radiation-induced toxicity