Expertises
Engineering & Materials Science
# Biometrics
# Classifiers
# Deep Learning
# Face Recognition
# Feature Extraction
# Image Resolution
# Palmprint Recognition
Medicine & Life Sciences
# Deep Learning
Verbonden aan
Publicaties
Recent
Haasnoot, E.
, Spreeuwers, L. J.
, & Veldhuis, R. N. J. (2022).
Presentation attack detection and biometric recognition in a challenge-response formalism.
EURASIP journal on information security,
2022(1), [5].
https://doi.org/10.1186/s13635-022-00131-y
Lestriandoko, N. H.
, Veldhuis, R.
, & Spreeuwers, L. (2022).
The contribution of different face parts to deep face recognition.
Frontiers in Computer Science,
4, 1-16. [958629].
https://doi.org/10.3389/fcomp.2022.958629
Bassit, A.
, Hahn, F.
, Veldhuis, R.
, & Peter, A. (2022).
Hybrid biometric template protection: Resolving the agony of choice between bloom filters and homomorphic encryption.
IET biometrics.
https://doi.org/10.1049/bme2.12075
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
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
Pure Link
Vakken Collegejaar 2022/2023
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2021/2022
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 4074
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4074
Postbus 217
7500 AE Enschede