D. Peeters, B. Obreja, N. Antonissen, Z. Saghir, U. Pastorino, M. Silva, G. de Bock, H. Gietema, F. Gleeson, M. Heuvelmans, S. Lam, G. Litjens, F. Mohamed Hoesein, C. Schaefer-Prokop, E. Scholten, A. Snoeckx, E. van der Heijden, R. Vliegenthart, M. Prokop, C. Jacobs and O. behalf of the Consortium, "Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge",
Radiology: Artificial Intelligence,
2026.
J. Twilt, A. Saha, J.S. Bosma, G. Giannarini, A. Padhani, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, H. Huisman, M. de Rooij, F. the Consortium, A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, C. Noordman, I. Slootweg, C. Roest, S. Fransen, M. Sunoqrot, T. Bathen, D. Rouw, J. Immerzeel, J. Geerdink, C. van Run, M. Groeneveld, J. Meakin, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, M. de Rooij, H. Huisman, A. Bjartell, A. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, H. Huisman, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Elschot, M. Rusu, N. Obuchowski, O. Rouviere, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, A. Karagöz, A. Bône, A. Routier, A. Marcoux, C. Abi-Nader, C. Li, D. Feng, D. Alis, E. Karaarslan, E. Ahn, F. Nicolas, G. Sonn, I. Bhattacharya, J. Kim, J. Shi, H. Jahanandish, H. An, H. Kan, I. Oksuz, L. Qiao, M. Rohé, M. Yergin, M. Rusu, M. Khadra, M. Seker, M. Kartal, N. Debs, R. Fan, S. Saunders, S. Soerensen, S. Moroianu, S. Vesal, Y. Yuan, A. Malakoti-Fard, A. Mačiunien, A. Kawashima, A. Machadov, A. Moreira, A. Ponsiglione, A. Rappaport, A. Stanzione, A. Ciuvasovas, B. Turkbey, B. De Keyzer, B. Pedersen, B. Eijlers, C. Chen, C. Riccardo, D. Alis, E. Courrech Staal, F. Jäderling, F. Langkilde, G. Aringhieri, G. Brembilla, H. Son, H. Vanderlelij, H. Raat, I. Pikuniene, I. Macova, I. Schoots, I. Caglic, J. Zawaideh, J. Wallström, L. Bittencourt, M. Khurram, M. Choi, N. Takahashi, N. Tan, O. Rouvière, P. Franco, P. Gutierrez, P. Thimansson, P. Hanus, P. Puech, P. Rau, P. De Visschere, R. Guillaume, R. Cuocolo, R. Falcão, R. van Stiphout, R. Girometti, R. Briediene, R. Grigiene, S. Gitau, S. Withey, S. Ghai, T. Penzkofer, T. Barrett, V. Panebianco, V. Tammisetti, V. L\ogager , V. Černý, W. Venderink, Y. Law and Y. Lee, "Evaluating an AI-driven Triaging Workflow for MRI-based Clinically Significant Prostate Cancer Diagnosis: A Simulation Study",
Radiology: Imaging Cancer,
2026;8.
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.
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.
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.
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.
G. Querzoli, G. Bogina, M. Marconi, N. Tumino, P. Vacca, L. Righi, S. Pilotto, A. Caliò, L. Cima, S. Gobbo, M. Cecchini, G. Paolino, F. Ciompi, R. Accolla, A. Scarpa, G. Lunardi, E. Marcenaro, L. Moretta, G. Zamboni and E. Munari, "HLA-G expression in non-small cell lung cancer: prognostic significance and interplay with PD-L1 and CD8+ tumor-infiltrating lymphocytes",
Frontiers in Immunology,
2026;17.
F. Khoraminia, M. Olislagers, F. de Jong, F. Akram, A. Nakauma Gonzalez, D. Lichtenberg, A. Stubbs, J. Costello, L. Rijstenberg, G. van Leenders, A. Vrieling, K. Aben, L. Kiemeney, R. Hoedemaeker, C. Bangma, S. Vermeulen, G. Litjens, N. Khalili and T. Zuiverloon, "Predicting bladder cancer molecular subtypes linked to bacillus Calmette-Guerin response from histology images using deep learning",
Preprint,
2026.
E. Baumann, L. Schafer, F. Meeuwsen, R. Kirsch, I. Nagtegaal, M. Berger, H. Dawson and I. Zlobec, "MSAI-Path: Predicting Microsatellite Instability From Routine Histology Slides Without Reinventing the Wheel",
Modern Pathology,
2026;39(1):100932.
K. Villiamsson, L. Fornstedt, G. Litjens, A. Amir, N. Sjöblom, A. Kaatonen, O. Vesala, F. Yacob, J. Paoli and N. Neittaanmäki, "Detection of basal cell carcinoma on whole-slide images from Mohs micrographic surgery using weakly supervised learning",
JAAD International,
2026;28:76-85.
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.
E. Munari, R. Polati, P. Antonini, D. Segala, L. Cima, A. Porcaro, A. Antonelli, R. Bertolo, G. Bogina, F. Tavora, A. Acosta, A. Caliò, K. Faryna, G. Litjens, G. Martignoni and M. Brunelli, "Atypical intraductal proliferation (AIP) of the prostate: a borderline lesion with important clinical implications",
Precision Pathology,
2026;1:100004.
J. van der Zande, L. Alvarez-Florez, R. Volleberg, C. Brás, D. Karkalousos, R. Nijveldt, N. van Royen, T. Leiner, N. Khalili, G. Litjens, J. Thannhauser and I. Isgum, "Deep Learning for Cardiac Image Analysis",
JACC: Cardiovascular Imaging,
2026.
J. Dixon-Douglas, D. Drubay, R. Salgado, B. Acs, J. van de Laark, 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. Jounsuu, P. Kellokumpu-Lehtinen, S. Loibl, C. Denkert, G. Viale, M. Colleoni, C. Sotiriou, M. Piccart, M. Dieci, S. Demaria, R. Kammler, A. Wolff, S. Adams, S. Badve, R. Gray, G. Curigliano, A. Vincent-Salomon, T. Nielsen, L. Pusztai, F. Ciompi, S. Michiels and S. Loi, "Abstract PD11-02: Artificial Intelligence for Tumor-Infiltrating Lymphocytes in Early-Stage TNBC: Results of a Collaborative Prospective TIL Validation Challenge",
Clinical Cancer Research,
2026;32:PD11-02-PD11-02.
R. Spaans, N. Khalili, G. Litjens and J. van Basten, "Tussen potentie en praktijk: AI als motor voor zorgtransformatie bij prostaatkanker",
Tijdschrift voor Urologie,
2026.
A. Bouwmeester, T. Gootzen, M. Nobbenhuis, V. Rudaitis, C. Den Van Berg, L. Alcalá, D. Smedts, N. Visser, V. Verhoef, T. Jonges, R. Zweemer, J. De Hullu, J. Der Van Laak, M. Steenbeek and M. Simons, "Additional sectioning reveals underdiagnosis of serous (pre)malignancies in fallopian tube specimen",
International Journal of Gynecological Cancer,
2026;36:103767.
N. Uysal, C. Grisi, K. Faryna, J. van Ipenburg and G. Litjens, "Towards patient-level Gleason grading from AI-based analysis of individual sections",
Scientific Reports,
2026.
E. Munari, P. Antonini, L. Cima, R. Polati, A. Caliò, S. Gobbo, M. Colecchia, G. Netto, A. Antonelli, R. Bertolo, C. Grisi, G. Litjens and M. Brunelli, "The evolution of prostate cancer grading: from Gleason score to risk taxonomy and the artificial intelligence revolution",
Virchows Archiv,
2026.
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.
Q. Da, Y. Chen, M. Ju, Z. Ji, A. Zhou, W. Wang, M. Abikenari, P. Chikontwe, G. Larghero, B. Chen, P. Neidlinger, D. Zhong, S. Wang, W. Xu, D. Williamson, G. Corredor, S. Yang, L. Lu, X. Han, K. Yu, J. Huang, L. Barisoni, G. Litjens, A. Madabhushi, L. Zhu, C. Wang, J. Zhao and W. Hu, "Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness",
arXiv:2603.05884,
2026.
S. Innani, S. You, A. Shephard, B. Baheti, F. Ciompi, J. Yeong, N. Rajpoot, M. Feldman, S. Kammerer-Jacquet, D. Makris, G. Litjens, A. Martel, J. Lipkova, A. Khademi, S. Bakas and F. SIG-CompPath, "Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations",
arXiv:2608.28820,
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.
R. Spaans, C. Chia, T. Wang, A. Kowalewski, P. Khachatryan, D. Oliveira, K. Faryna, J. van Basten, G. Litjens and N. Khalili, "CHIMERA Challenge: Biochemical Recurrence Prediction in Prostate Cancer Patients using multimodal datasets",
arXiv:2608.21497,
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. 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.
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.
J. Dusseljee, S. de Boer and A. Hering, "Kidney Cancer Detection Using 3D-based Latent Diffusion Models",
Bildverarbeitung für die Medizin 2026,
2026:411-418.
A. Arab, V. Garcia, S. Kahaki, M. van Rijthoven, R. Salgado, B. Gallas, F. Ciompi, N. Petrick and W. Chen, "Assessment of AI segmentation models in histopathology whole slide images: the effect of the unit of analysis",
Medical Imaging 2026: Digital and Computational Pathology,
2026:31.