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

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

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, 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 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

ESR Bridges: bridging the AI gap: a collaborative effort of radiologists and technical AI professionals-a multidisciplinary view

van Ooijen, P. & Ranschaert, E., Feb-2025, In: European Radiology. 35, p. 1089–1091 3 p.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

Leveraging network uncertainty to identify regions in rectal cancer clinical target volume auto-segmentations likely requiring manual edits

Maruccio, F. C., Simões, R., van Aalst, J. E., Brouwer, C. L., Sonke, J.-J., van Ooijen, P. & Janssen, T. M., Apr-2025, In: Physics and imaging in radiation oncology. 34, 7 p., 100771.

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

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble

Mol, F. N., Hoek, L. V. D., Ma, B., Nagam, B. C., Sijtsema, N. M., van Dijk, L. V., Bunte, K., Vlijm, R. & Van Ooijen, P. M. A., 2025, Head and Neck Tumor Segmentation for MR-Guided Applications - 1st MICCAI Challenge, HNTS-MRG2024 Held in Conjunction with MICCAI 2024. Wahid, K. A., Naser, M. A., Dede, C. & Fuller, C. D. (eds.). Springer, p. 179-190 12 p. (Lecture Notes in Computer Science; vol. 15273 LNCS).

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

Normal tissue complication probability model predicting taste impairment in head and neck cancer patients: Evaluating the taste bud bearing tongue mucosa as a predictor

Neh, H., de Vette, S. P. M., Stoffers, R. H., Zhou, G., van Ooijen, P. M. A., Sijtsema, N. M., Brouwer, C. L., Langendijk, J. A. & van Dijk, L. V., Apr-2025, In: Radiotherapy and Oncology. 205, 7 p., 110746.

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

PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer

Ma, B., Guo, J., van Dijk, L. V., Langendijk, J. A., Ooijen, P. M. A. V., Both, S. & Sijtsema, N. M., Jun-2025, In: Radiotherapy and Oncology. 207, 7 p., 110852.

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