M. D'Amato, J. van der Laak and F. Ciompi, "Weakly supervised regression enables interpretable tumor detection in whole-slide histopathology without negative cases",
Scientific Reports,
2025;15.
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.
T. Haddad, J. Bokhorst, L. van den Dobbelsteen, S. Öztürk, E. Baumann, S. van Vliet, K. Verrijp, N. Jamieson, C. Wood, M. Berger, R. Kirsch, M. Aben, N. Rutgers, H. Ueno, F. Ciompi, F. Simmer, J. van der Laak, A. Lugli, I. Zlobec and I. Nagtegaal, "Tumor budding and poorly differentiated clusters as a biological continuum in colorectal cancer invasion and prognosis",
Scientific Reports,
2025;15.
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.
A. Frei, A. Khan, R. Oberson, S. Reinhard, Y. Banz, F. Meeuwsen, A. Janowczyk, R. Grobholz, H. Dawson, A. Lugli, M. Ilié, J. van der Laak and I. Zlobec, "Computer-aided tumor cell fraction (TCF) estimation by medical students, residents, and pathologists improves inter-observer agreement while highlighting the risk of automation bias",
Virchows Archiv,
2025.
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.
W. Aswolinskiy, R. van der Post, M. Campora, C. Baronchelli, L. Ardighieri, S. Vatrano, J. van der Laak, E. Munari, M. Simons, I. Nagtegaal and F. Ciompi, "Attention-Based Whole-Slide Image Compression Achieves Pathologist-Level Prescreening of Multiorgan Routine Histopathology Biopsies",
Modern Pathology,
2025;38(11):100827.
T. Gootzen, A. Bouwmeester, J. de Hullu, J. Piek, J. van der Laak, M. Simons and M. Steenbeek, "Pathogenesis of peritoneal high-grade serous carcinoma after risk-reducing surgery: a systematic review",
The Journal of Pathology: Clinical Research,
2025;11.
M. van Rijthoven, W. Aswolinskiy, L. Tessier, M. Balkenhol, J. Bogaerts, D. Drubay, L. Blesa, D. Peeters, E. Stovgaard, A. L\aenkholm , H. Haynes, L. Craciun, D. Larsimont, M. Amgad, L. Cooper, C. de Kock, V. Dechering, J. Lotz, N. Weiss, M. van Bockstal, C. Galant, E. Lips, H. Horlings, J. Wesseling, L. Mulder, S. van den Belt, K. Weber, P. Jank, C. Denkert, E. Munari, G. Bogina, C. Russ, A. Lemm, S. Loi, J. Douglas, S. Michiels, H. Joensuu, M. Fan, D. Lee, J. Ye, K. Byun, J. Kim, S. Xu, Z. Ji, F. Xie, J. Kuang, X. Chen, L. Chen, A. Tsakiroglou, R. Byers, M. Fergie, V. Ramanathan, A. Martel, A. Shephard, S. Ahmed Raza, M. Jahanifar, N. Rajpoot, S. Cho, D. Kim, H. Jang, C. Park, K. Kim, R. Donders, S. Maurits, M. Groeneveld, A. Mickan, J. Meakin, B. van Ginneken, R. Salgado, J. van der Laak and F. Ciompi, "Tumor-infiltrating lymphocytes in breast cancer through artificial intelligence: biomarker analysis from the results of the TIGER challenge",
medRxiv,
2025.
C. Lems, L. Tessier, J. Bokhorst, M. van Rijthoven, W. Aswolinskiy, M. Pozzi, N. Klubickova, S. Dintzis, M. Campora, M. Balkenhol, P. Bult, J. Spronck, T. Detone, M. Barbareschi, E. Munari, G. Bogina, J. Wesseling, E. Lips, F. Ciompi, F. Meeuwsen and J. van der Laak, "A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides",
arXiv:2510.02037,
2025.