J. Spronck, L. van Eekelen, D. van Midden, J. Bogaerts, L. Tessier, V. Dechering, M. Demirel-Andishmand, G. de Souza, R. Nemeth, E. Munari, G. Bogina, I. Girolami, A. Eccher, B. Acs, C. Boyaci, N. Klubickova, M. Looijen-Salamon, S. Vos and F. Ciompi, "A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer",
IEEE Journal of Biomedical and Health Informatics,
2026;():1-11.
V. Eekelen, Leander, J. Spronck, M. Looijen-Salamon, S. Vos, E. Munari, I. Girolami, A. Eccher, B. Acs, C. Boyaci, G. de Souza, M. Demirel-Andishmand, L. Meesters, D. Zegers, L. van der Woude, W. Theelen, M. van den Heuvel, K. Grünberg, B. van Ginneken, J. van der Laak and F. Ciompi, "Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images",
Scientific Reports,
2024;14.
F. Ciompi, O. Geessink, B. Bejnordi, G. de Souza, A. Baidoshvili, G. Litjens, B. van Ginneken, I. Nagtegaal and J. van der Laak, "The importance of stain normalization in colorectal tissue classification with convolutional networks",
IEEE International Symposium on Biomedical Imaging,
2017:160-163.
L. van Eekelen, E. Munari, L. Meesters, G. de Souza, M. Demirel-Andishmand, D. Zegers, M. Looijen-Salamon, S. Vos and F. Ciompi, "Nuclei detection with YOLOv5 in PD-L1 stained non-small cell lung cancer whole slide images",
European Congress of Pathology,
2022.