Expertise
Engineering & Materials Science
# Biometrics
# Classifiers
# Deep Learning
# Face Recognition
# Feature Extraction
# Image Resolution
# Palmprint Recognition
Medicine & Life Sciences
# Deep Learning
Organisations
Publications
Recent
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.
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.
https://doi.org/10.1007/s10278-022-00599-7
Normakristagaluh, P.
, Laanstra, G. J.
, Spreeuwers, L.
, & Veldhuis, R. (2022).
Understanding and modeling finger vascular pattern imaging.
IET Image Processing,
16(5), 1280-1292.
https://doi.org/10.1049/ipr2.12408
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
van den Oever, L. B., van Veldhuizen, W. A.
, Cornelissen, L. J., Spoor, D. S., Willems, T. P., Kramer, G., Stigter, T., Rook, M., Crijns, A. P. G., Oudkerk, M.
, Veldhuis, R. N. J., de Bock, G. H., & van Ooijen, P. M. A. (2022).
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms.
Journal of Digital Imaging,
35(2), 240-247.
https://doi.org/10.1007/s10278-021-00573-9
Cui, X., Zheng, S., Heuvelmans, M. A., Du, Y., Sidorenkov, G., Fan, S., Li, Y., Xie, Y., Zhu, Z., Dorrius, M. D., Zhao, Y.
, Veldhuis, R. N. J., de Bock, G. H., Oudkerk, M., van Ooijen, P. M. A., Vliegenthart, R., & Ye, Z. (2022).
Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.
European journal of radiology,
146, [110068].
https://doi.org/10.1016/j.ejrad.2021.110068
Atashgahi, Z., Sokar, G., van der Lee, T.
, Mocanu, E.
, Mocanu, D. C.
, Veldhuis, R., & Pechenizkiy, M. (2022).
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.
Machine Learning,
111, 377–414.
https://doi.org/10.1007/s10994-021-06063-x
Zeng, D.
, Veldhuis, R.
, & Spreeuwers, L. (2021).
A survey of face recognition techniques under occlusion.
IET biometrics,
10(6), 581-606.
https://doi.org/10.1049/bme2.12029
UT Research Information System
Courses Academic Year 2021/2022
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 2020/2021
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
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4074
P.O. Box 217
7500 AE Enschede
The Netherlands