Paulus, E., Burie, JC., Verbeek F.J. (2023)
Text Line Extraction Strategy for Palm Leaf Manuscripts.
Pattern Recognition Letters (DOI: 10.1016/j.patrec.2023.08.007)

Kurchaba, S., van Vliet, J., Verbeek, F.J., Veenman, C.J. (2023)
Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning.
Remote Sensing of Environment. Volume 297, DOI: 10.1016/j.rse.2023.113761

Tang, A., Lv, L., Javanmardi, S., Wang, Y., Fan, J., Verbeek. F.J. Xiao, G. (2023)
Nanoparticle Image Synthesis and Modified BlendMask Instance Segmentation for Automated Phenotyping.
IEEE Transactionc on Medical Imaging. Vol. X, No. xx, 2023

Li, C., Yiu, WWC., Hu, W.,Cao L., Verbeek, FJ. (2023)
A Feature Weighted Tracking Method for 3D Neutrophils in Time-lapse Microscopy
Proc. 2022 IEEE Int. Conf. on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 2196-2202, DOI: 10.1109/BIBM55620.2022.9995160.

Jahanbanifard M., Price, E., González, B.A., Raggi,L.A., Javanmardi, S., Lens, F., Gradendeel, B., Espinoza E., Verbeek F.J.(20203)
A novel method to analyse DART TOFMS spectra based on Convolutional Neural Networks: A case study on methanol extracts of wool fibres from endangered camelids
Int. Journal Mass Spectrometry (April 2023); DOI: 10.1016/j.ijms.2023.117050

Li, J., He, J., Long, J., Wang, C., Kers, J., Verbeek, F.J. (2023)
Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net.
In Proceedings of the 16th Int. Joint Conf. on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, pgs 146-153. DOI:10.5220/0011803500003414