| Task-driven learned hyperspectral data reduction using end-to-end supervised deep learning MT Zeegers, DM Pelt, T van Leeuwen, R van Liere, KJ Batenburg Journal of Imaging 6 (12), 132, 2020 | 10 | 2020 |
| Autocrine inhibition of cell motility can drive epithelial branching morphogenesis in the absence of growth EG Rens, MT Zeegers, I Rabbers, A Szabó, RMH Merks Philosophical Transactions of the Royal Society B 375 (1807), 20190386, 2020 | 7 | 2020 |
| A multi-channel dart algorithm M Zeegers, F Lucka, KJ Batenburg Combinatorial Image Analysis: 19th International Workshop, IWCIA 2018, Porto …, 2018 | 6 | 2018 |
| A tomographic workflow to enable deep learning for X-ray based foreign object detection MT Zeegers, T van Leeuwen, DM Pelt, SB Coban, R van Liere, ... Expert Systems with Applications 206, 117768, 2022 | 5 | 2022 |
| ADJUST: A dictionary-based joint reconstruction and unmixing method for spectral tomography MT Zeegers, A Kadu, T van Leeuwen, KJ Batenburg Inverse Problems 38 (12), 125002, 2022 | 3 | 2022 |
| A collection of 131 ct datasets of pieces of modeling clay containing stones—part 1 of 5. Zenodo MT Zeegers | 2 | 2022 |
| A collection of X-ray projections of 131 pieces of modeling clay containing stones for machine learning-driven object detection MT Zeegers Zenodo, http://dx. doi. org/10.5281/zenodo, 2022 | 2 | 2022 |
| Spectral imaging and tomographic reconstruction methods for industrial applications MT Zeegers Leiden University, 2023 | | 2023 |
| Kadu MT Zeegers Leeuwen, T. an, & Batenburg, K, 2022 | | 2022 |
| Autocrine Inhibition of Membrane Ruffling Drives Branching Morphogenesis EG Rens, MT Zeegers, RMH Merks | | 2018 |
| an, Liere, R. an, & Batenburg, K..(2020) MT Zeegers, DM Pelt, T Leeuwen Task-dri en learned h perspectral data reduction using end-to-end super ised …, 0 | | |
| Opleiding Informatica M Zeegers | | |
Kees Joost BatenburgProfessor of Imaging and VisualizationVerified email at liacs.leidenuniv.nl
