M. Rijthoven, W. Aswolinskiy, L. Tessier, R. Salgado, J. van der Laak, F. Ciompi and TIGER consortium, "Analysis of computational tumor-infiltrating lymphocytes in breast cancer from the results of the TIGER challenge",
Nature Communications,
2026.
D. Schouten, J. van der Laak, D. Somford, H. Küsters-Vandevelde, N. Khalili and G. Litjens, "Three-dimensional reconstruction of gigapixel whole-mount histopathology specimens with RAPID",
Scientific Reports,
2026.
A. Bouwmeester, T. Gootzen, M. Nobbenhuis, V. Rudaitis, C. van den Berg, H. van Beekhuizen, L. Alcalá, D. Smedts, N. Visser, V. Verhoef, T. Jonges, R. Zweemer, A. Leon-Catillo, C. Lems, J. de Hullu, J. van der Laak, M. Steenbeek and M. Simons, "Additional sectioning and
AI
-assisted diagnosis reveal underdiagnosis of serous (pre)malignancies in fallopian tube specimen from
BRCA
1/2 carriers",
Histopathology,
2026.
S. Jarkman, M. Lindvall, C. Lundström, D. Treanor and J. van der Laak, "Designing AI Tools for Pathology: A Mixed-Method Study on User Interface Design for Breast Cancer Lymph Node Metastases Detection",
Intelligence-Based Medicine,
2026:100396.
J. Dixon-Douglas, D. Drubay, R. Salgado, B. Acs, J. van der Laak, Y. Yuan, M. Amgad, L. Cooper, Y. Hagos, K. AbdulJabbar, J. Meakin, B. van Ginneken, H. Yan, J. Lemonnier, F. Penault-Llorca, M. Lacroix-Triki, H. Joensuu, P. Kellokumpu-Lehtinen, S. Loibl, C. Denkert, G. Viale, M. Colleoni, C. Sotiriou, M. Piccart, M. Dieci, S. Demaria, R. Kammler, A. Wolff, J. Sparano, S. Adams, S. Badve, R. Gray, G. Curigliano, A. Salomon, T. Nielsen, L. Pusztai, F. Ciompi, S. Michiels and S. Loi, "Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study",
The Lancet Oncology,
2026;27:1181-1192.
S. Moonemans, S. Ram, F. Meeuwsen, C. Lems, J. van der Laak, G. Litjens and F. Ciompi, "Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling",
arXiv:2512.17326,
2026.
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. Lems, S. Moonemans, N. Klubíčková, B. Brattoli, T. Lee, S. Kim, V. Vilaplana, L. Pons, S. Hochman, M. Suárez-Franck, P. Fernandez, J. Drachneris, D. Petroska, R. Augulis, A. Laurinavicius, D. Oliveira, D. Montezuma, A. Bouwmeester, D. van Midden, A. Vos, S. Vos, J. van Ipenburg, M. Balkenhol, K. Winkler, I. Nagtegaal, K. Hebeda, U. Flucke, K. Grünberg, J. Skopal, B. Chohan, J. Temprana-Salvador, E. Munari, L. Cima, G. Querzoli, Y. Belisario, J. Faber, G. van Leenders, J. von der Thüsen, L. Brosens, R. de Krijger, P. Wesseling, S. Florquin, M. Maniewski, A. Kowalewski, R. Barna, D. Tiniakos, J. Gros, R. Donders, J. Maurits, M. Lu, C. Chen, F. Mahmood, J. van der Laak, N. Khalili, F. Meeuwsen and F. Ciompi, "DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset",
arXiv:2605.03544,
2026.
C. Grisi, K. Faryna, N. Uysal, V. Agosti, E. Munari, S. Kammerer-Jacquet, P. Salles, Y. Tolkach, R. Büttner, S. Semko, M. Pikul, A. Heidenreich, J. van der Laak and G. Litjens, "Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer",
arXiv:2603.14187,
2026.