University of Twente
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prof.dr.ir. R.N.J. Veldhuis (Raymond)

Full Professor

Expertise

Biometrics
Face Recognition
Experiments
Classifiers
Authentication
Deep Learning
Fusion Reactions
Lung

Organisations

Ancillary Activities

  • GenKey
    Member advisory Committee Genkey
  • WIC
    Board member WIC
  • EAB European Assiociation for Biometrics
    Chair Academia SIG EAB
  • 20Face
    Advisor and shareholder 20Face

Publications

Recent
Bassit, A. , Hahn, F. , Zeinstra, C. , Veldhuis, R. , & Peter, A. (2021). Bloom Filter vs Homomorphic Encryption: Which approach protects the biometric data and satisfies ISO/IEC 24745? In A. Brömme, C. Busch, N. Damer, A. Dantcheva, M. Gomez-Barrero, K. Raja, C. Rathgeb, A. F. Sequeira, & A. Uhl (Eds.), BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group: 15.-17. September 2021 International Digital Conference (Lecture Notes in Informatics (LNI) - Proceedings; Vol. P-315). IEEE. https://doi.org/10.1109/BIOSIG52210.2021.9548304
Wang, S. , Kelly, U. M. , & Veldhuis, R. N. J. (2021). Gender Obfuscation through Face Morphing. In Proceedings - 9th International Workshop on Biometrics and Forensics, IWBF 2021 [9465088] IEEE. https://doi.org/10.1109/IWBF50991.2021.9465088
Shao, H., Zhong, D., Du, X., Du, S. , & Veldhuis, R. N. J. (2021). Few-Shot Learning for Palmprint Recognition via Meta-Siamese Network. IEEE transactions on instrumentation and measurement, 70, [9420130]. https://doi.org/10.1109/TIM.2021.3076850
Raja, K., Ferrara, M., Franco, A. , Spreeuwers, L. , Batskos, I. , de Wit, F. F., Gomez-Barrero, M., Scherhag, U., Fischer, D., Venkatesh, S., Mohan Singh, J., Ramachandra, R., Rathgeb, C., Frings, D., Seidel, U., Knopjes, F. , Veldhuis, R. N. J., Maltoni, D., & Busch, C. (2021). Morphing Attack Detection - Database, Evaluation Platform and Benchmarking. IEEE transactions on information forensics and security, 16, 4336-4351. https://doi.org/10.1109/TIFS.2020.3035252, https://doi.org/10.1109/TIFS.2020.3035252
Zheng, S., Cornelissen, L. J., Cui, X., Jing, X. , Veldhuis, R. N. J., Oudkerk, M., & van Ooijen, P. M. A. (2021). Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification. Medical physics, 48(2), 733-744. https://doi.org/10.1002/mp.14648
Zheng, S., Cui, X., Vonder, M. , Veldhuis, R. N. J., Dorrius, M. D., Ye, Z., Vliegenthart, R., Oudkerk, M., & van Ooijen, P. M. A. (2020). Effect of slab thickness on pulmonary nodule detection using maximum intensity projection in a deep learning-based computer-aided detection system. European respiratory journal, 56(64), [4169]. https://doi.org/10.1183/13993003.congress-2020.4169
Cui, X., Zheng, S., Heuvelmans, M. A., Du, Y., Sidorenkov, G., Dorrius, M. D. , Veldhuis, R. N. J., Oudkerk, M., de Bock, G. H., van Ooijen, P. M. A., Vliegenthart, R., & Ye, Z. (2020). Validation of a deep learning-based computer-aided system for lung nodule detection in a Chinese lung cancer screening program. European respiratory journal, 56(64), [4168]. https://doi.org/10.1183/13993003.congress-2020.4168
Kelly, U. M. , Veldhuis, R. N. J. , & Spreeuwers, L. (2020). Improving deep-learning-based face recognition to increase robustness against morphing attacks. In D. C. Wyld, & J. Zizka (Eds.), 9th International Conference on Signal, Image Processing and Pattern Recognition (SPPR 2020), December 19 ~ 20, 2020, Sydney, Australia (Computer Science & Information Technology; Vol. 10, No. 19). Academy and Industry Research Collaboration Center (AIRCC). https://doi.org/10.5121/csit.2020.101901

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Contact Details

+31614346251  (mobile)
+31534893776  (if no answer)
 
 

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

Organisations

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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