M. Stegeman, L. Philipp, F. van der Graaf, M. D'Amato, C. Grisi, L. Builtjes, J.S. Bosma, J. Lefkes, R. Weber, J. Meakin, T. Koopman, A. Mickan, M. Prokop, E. Smit, G. Litjens, J. van der Laak, B. van Ginneken, M. de Rooij, H. Huisman, C. Jacobs, F. Ciompi and A. Hering, "Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language",
arXiv:2603.02790,
2026.
C. Grisi, K. Kartasalo, M. Eklund, L. Egevad, J. van der Laak and G. Litjens, "Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap",
Medical Image Analysis,
2025;105:103663.
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.
J. Lefkes, C. Grisi and G. Litjens, "A Balancing Act: Optimizing Classification and Retrieval in Cross-Modal Vision Models",
Medical Imaging with Deep Learning,
2025.
C. Grisi, G. Litjens and J. van der Laak, "Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers",
arXiv:2404.18152,
2024.
N. Contreras, C. Grisi, W. Aswolinskiy, S. Vatrano, F. Fraggetta, I. Nagtegaal, M. D'Amato and F. Ciompi, "Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images",
2024 IEEE International Symposium on Biomedical Imaging (ISBI),
2024:1-4.
C. Grisi, G. Litjens and J. van der Laak, "Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images",
arXiv:2312.12619,
2023.