Publications of Dominique van Midden
2025
Papers in international journals
- D. van Midden, L. Studer, M. Hermsen, E. Steenbergen, J. Kers, N. Kozakowski, Z. Kikic, L. Hilbrands and J. van der Laak, "Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies", Computers in biology and medicine, 2025;193:110395.
- A. Farris, J. van der Laak and D. van Midden, "Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection", Current Opinion in Organ Transplantation, 2025.
Preprints
- S. Sun, D. van Midden, G. Litjens and C. Baumgartner, "Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification", arXiv:2503.08384, 2025.
- S. Sun, L. Tessier, F. Meeuwsen, C. Grisi, D. van Midden, G. Litjens and C. Baumgartner, "Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology", arXiv:2501.02922, 2025.
2024
Abstracts
- D. Midden, L. Studer, M. Hermsen, N. Kozakowski, J. Kers, L. Hilbrands and J. van der Laak, "Deep learning-based segmentation of peritubular capillaries in kidney transplant biopsies.", European Congress on Digital Pathology, 2024.
- D. Midden, L. Studer, M. Hermsen, A. Farris, J. Kers, L. Hilbrands and J. van der Laak, "Introducing the MONKEY Challenge: Machine-learning for Optimal detection of iNflammatory cells in the KidnEY", European Congress on Digital Pathology, 2024.
2022
Papers in international journals
- M. Hermsen, F. Ciompi, A. Adefidipe, A. Denic, A. Dendooven, B. Smith, D. van Midden, J. Brasen, J. Kers, M. Stegall, P. Bándi, T. Nguyen, Z. Swiderska-Chadaj, B. Smeets, L. Hilbrands and J. van der Laak, "Convolutional neural networks for the evaluation of chronic and inflammatory lesions in kidney transplant biopsies", American Journal of Pathology, 2022;192(10):1418-1432.