prof. dr. ir. P.M.A. (Peter) van Ooijen

Scientific Researcher / Professor

Faculty of Medical Sciences

Telephone:

+31 50 361 2286

E-mail:

p.m.a.van.ooijen umcg.nl

ORCID Research Portal

Publications

GFFusion: Towards automated assessment of movement disorders from gait videos

Tang, W., Garofalo, M., van Ooijen, P. M. A., Sival, D. A. & Maurits, N. M., Mar-2026, In: Biomedical signal processing and control. 113, 109054.

Research output: Contribution to journal › Article › Academic › peer-review

2480 Towards a multi-toxicity NTCP modelling approach for head and neck cancer

MacRae, D., der Hoek, L. V., de Vette, S. P. M., Neh, H., van Ooijen, P. M. A., Sijtsema, N. M., Moreno, A. C., Fuller, C. D., Langendijk, J. A., Toro, M. V. & van Dijk, L. V., May-2025.

Research output: Contribution to conference › Abstract › Academic

A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules

Wang, J., Cai, J., Tang, W., Dudurych, I., van Tuinen, M., Vliegenthart, R. & van Ooijen, P., Jul-2025, In: Computerized medical imaging and graphics. 123, 13 p., 102553.

Research output: Contribution to journal › Article › Academic › peer-review

"AI tumor delineation for all breathing phases in early-stage NSCLC"

de la O Arevalo, L. R., Sijtsema, N. M., van Dijk, L. V., Langendijk, J. A., Wijsman, R. & van Ooijen, P. M. A., Oct-2025, In: Radiotherapy and Oncology. 211, 7 p., 111095.

Research output: Contribution to journal › Article › Academic › peer-review

A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT

Wang, J., Zhang, X., Tang, W., van Tuinen, M., Vliegenthart, R. & van Ooijen, P., 27-Jun-2025, In: Insights into Imaging. 16, 1, 10 p., 138.

Research output: Contribution to journal › Article › Academic › peer-review

BoneStory: Visual Storytelling in 3D Virtual Surgical Planning for Bone Fracture Reduction

Lee, H., Pijpker, P., Kraeima, J., Amabili, L., Cnossen, F., Roerdink, J. B. T. M., van Ooijen, P. & Kosinka, J., 2025, Advances in Computer Graphics - 41st Computer Graphics International Conference, CGI 2024, Proceedings. Magnenat-Thalmann, N., Kim, J., Sheng, B., Deng, Z., Thalmann, D. & Li, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 18-38 21 p. (Lecture Notes in Computer Science; vol. 15339 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Deep learning-based prediction of radiation pneumonitis in advanced stage lung cancer using average 4D CT, 3D dose, and lung segmentations

van der Wal, R., de la O Arevalo, L. R., van der Hoek, L., de Vette, S. P. M., Neh, H., MacRae, D. C., Langendijk, J. A., Sijtsema, N. M., van Ooijen, P., Wijsman, R. & van Dijk, L. V., May-2025, In: Radiotherapy and Oncology. 206, Supplement 1, p. S3784-S3786 3 p.

Research output: Contribution to journal › Meeting Abstract › Academic

Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations

de Vette, S. P. M., Neh, H., van der Hoek, L., MacRae, D. C., Chu, H., Gawryszuk, A., Steenbakkers, R. J. H. M., van Ooijen, P. M. A., Fuller, C. D., Hutcheson, K. A., Langendijk, J. A., Sijtsema, N. M. & van Dijk, L. V., 20-Jun-2025, MedRxiv.

Research output: Working paper › Preprint › Academic