prof.dr.ir. R.N.J. Veldhuis (Raymond)

Full Professor


Engineering & Materials Science
Deep Learning
Face Recognition
Feature Extraction
Image Resolution
Palmprint Recognition
Medicine & Life Sciences
Deep Learning


van den Oever, L. B., Spoor, D. S., Crijns, A. P. G., Vliegenthart, R., Oudkerk, M. , Veldhuis, R. N. J., de Bock, G. H., & van Ooijen, P. M. A. (2022). Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models. Journal of medical systems, 46(5), [22]. https://doi.org/10.1007/s10916-022-01810-6
Busch, C., Czajka, A., Deravi, F., Drozdowski, P., Gomez-Barrero, M., Hasse, G., Henniger, O., Kindt, E., Kolberg, J., Nouak, A., Raja, K., Ramachandra, R., Rathgeb, C., Salomon, J. , & Veldhuis, R. (2022). A response to the European Data Protection Supervisor ‘Misunderstandings in Biometrics’ by the European Association for Biometrics. IET biometrics, 11(1), 79-86. https://doi.org/10.1049/bme2.12057
Nagaraj, Y., de Jonge, G., Andreychenko, A., Presti, G., Fink, M. A., Pavlov, N., Quattrocchi, C. C., Morozov, S. , Veldhuis, R., Oudkerk, M., & van Ooijen, P. M. A. (2022). Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting. European radiology, 32(9), 6384-6396. https://doi.org/10.1007/s00330-022-08730-6
Nagaraj, Y., Wisselink, H. J., Rook, M., Cai, J. , Nagaraj, S. B., Sidorenkov, G. , Veldhuis, R., Oudkerk, M., Vliegenthart, R., & van Ooijen, P. (2022). AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. Journal of Digital Imaging, 35, 538-550. https://doi.org/10.1007/s10278-022-00599-7
Spreeuwers, L., Schils, M. , Veldhuis, R. , & Kelly, U. (2022). Practical Evaluation of Face Morphing Attack Detection Methods. In C. Rathgeb, R. Tolosana, R. Vera-Rodriguez, & C. Busch (Eds.), Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (pp. 351-365). (Advances in Computer Vision and Pattern Recognition). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-87664-7_16

UT Research Information System

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4074
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4074
P.O. Box 217
7500 AE Enschede
The Netherlands