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

2562: AI-enhanced proton radiography: deep learning for assessing treatment deviations in proton therapy

Perotti Bernardini, G., Guterres Marmitt, G., Galapon, A., van Ooijen, P., Lagendijk, J. A. & Both, S., 5-May-2024, p. S3934-S3939. 6 p.

Research output: Contribution to conference › Poster › Academic

A comparative study of federated learning methods for COVID-19 detection

Darzi, E., Sijtsema, N. M. & van Ooijen, P. M. A., 16-Feb-2024, In: Scientific Reports. 14, 11 p., 3944.

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

A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist

van Kooten, M., Tan, C. O., Hofmeijer, E. I. S., van Ooijen, P., Noordzij, W., Lamers, M., Kwee, T., Vliegenthart, R. & Yakar, D., 2024, In: Insights into Imaging. 15, 1, 14 p., 15.

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

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders

Stogiannos, N., Gillan, C., Precht, H., Reis, C. S. D., Kumar, A., O'Regan, T., Ellis, V., Barnes, A., Meades, R., Pogose, M., Greggio, J., Scurr, E., Kumar, S., King, G., Rosewarne, D., Jones, C., van Leeuwen, K. G., Hyde, E., Beardmore, C. & Alliende, J. G.& 29 others, El-Farra, S., Papathanasiou, S., Beger, J., Nash, J., van Ooijen, P., Zelenyanszki, C., Koch, B., Langmack, K. A., Tucker, R., Goh, V., Turmezei, T., Lip, G., Reyes-Aldasoro, C. C., Alonso, E., Dean, G., Hirani, S. P., Torre, S., Akudjedu, T. N., Ohene-Botwe, B., Khine, R., O'Sullivan, C., Kyratsis, Y., McEntee, M., Wheatstone, P., Thackray, Y., Cairns, J., Jerome, D., Scarsbrook, A. & Malamateniou, C., Dec-2024, In: Journal of medical imaging and radiation sciences. 55, 4, 8 p., 101717.

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

Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability

Jing, X., Wielema, M., Monroy-Gonzalez, A. G., Stams, T. R. G., Mahesh, S. V. K., Oudkerk, M., Sijens, P. E., Dorrius, M. D. & van Ooijen, P. M. A., Jul-2024, In: Journal of Magnetic Resonance Imaging. 60, 1, p. 80-91 12 p.

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

Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review

Tang, W., van Ooijen, P. M. A., Sival, D. A. & Maurits, N. M., Oct-2024, In: Artificial Intelligence in Medicine. 156, 16 p., 102952.

Research output: Contribution to journal › Review article › 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., 2024, (Accepted/In press) Proceedings of Computer Graphics International 2024.

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

Correction: Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT (European Radiology Experimental, (2024), 8, 1, (63), 10.1186/s41747-024-00459-9)

Sourlos, N., Pelgrim, G. J., Wisselink, H. J., Yang, X., de Jonge, G., Rook, M., Prokop, M., Sidorenkov, G., van Tuinen, M., Vliegenthart, R. & van Ooijen, P. M. A., 16-Aug-2024, In: European Radiology Experimental. 8, 1, 1 p., 94.

Research output: Contribution to journal › Erratum

CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies

Gitto, S., Cuocolo, R., Huisman, M., Messina, C., Albano, D., Omoumi, P., Kotter, E., Maas, M., Van Ooijen, P. & Sconfienza, L. M., 2024, In: Insights into Imaging. 15, 1, 16 p., 54.

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

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer

De Biase, A., Ma, B., Guo, J., van Dijk, L. V., Langendijk, J. A., Both, S., van Ooijen, P. M. A. & Sijtsema, N. M., Feb-2024, In: Computer Methods and Programs in Biomedicine. 244, 10 p., 107939.

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