Mathé Zeegers

Full Name

M.T. Zeegers

Email

M.T.Zeegers@cwi.nl

Room

L011

Department(s)

Computational Imaging

Function(s)

PhD student

Homepage

https://scholar.google.com/citations?user=ywZ14lsAAAAJ&hl

Mathé Zeegers

Zeegers, M.T, van Leeuwen, T, Pelt, D.M, Coban, S.B, van Liere, R, & Batenburg, K.J. (2022). A tomographic workflow to enable deep learning for X-ray based foreign object detection. Expert Systems with Applications, 206, 117768.1–117768.15. doi:10.1016/j.eswa.2022.117768
Zeegers, M.T, Kadu, A.A, van Leeuwen, T, & Batenburg, K.J. (2022). ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography. Inverse Problems, 38(12). doi:10.1088/1361-6420/ac932e
Zeegers, M.T. (2022). A collection of 131 CT datasets of pieces of modeling clay containing stones - Part 1 of 5. doi:10.5281/zenodo.5866228
Zeegers, M.T, Pelt, D.M, van Leeuwen, T, van Liere, R, & Batenburg, K.J. (2020). Task-driven learned hyperspectral data reduction using end-to-end supervised deep learning. Journal of Imaging, 6(12). doi:10.3390/jimaging6120132
Rens, E.G, Zeegers, M.T, Rabbers, I, Szabó, A, & Merks, R.M.H. (2020). Autocrine inhibition of cell motility can drive epithelial branching morphogenesis in the absence of growth. Philosophical Transactions of the Royal Society B, 375(1807). doi:10.1098/rstb.2019.0386
Zeegers, M.T, Lucka, F, & Batenburg, K.J. (2018). A Multi-Channel DART algorithm. In Proceedings of IWCIA 2018 (pp. 164–178). doi:10.1007/978-3-030-05288-1_13

Non-destructive 3D spectral imaging: applications in the poultry industry (None)