N. Alves, M. Schuurmans, D. Rutkowski, A. Saha, P. Vendittelli, N. Obuchowski, M. Liedenbaum, I. Haldorsen, A. Molven, D. Yakar, J. Geerdink, S. van Koeverden, D. Riviere, W. Venderink, R. de Haas, N. Kim, J. Löhr, G. Suman, K. Maier-Hein, H. Hahn, W. Wang, A. Yuille, A. Kambadakone, E. Fishman, C. Verbeke, G. Litjens, J. Hermans, H. Huisman, N. Alves, M. Schuurmans, A. Saha, P. Vendittelli, G. Litjens, J. Hermans, H. Huisman, D. Riviere, W. Venderink, S. van Koeverden, D. Rutkowski, M. Liedenbaum, I. Haldorsen, A. Molven, D. Yakar, R. de Haas, J. Geerdink, J. Veltman, A. Yuille, A. Kambadakone, C. Verbeke, C. Matos, E. Fishman, G. Suman, H. Hahn, K. Maier-Hein, J. Löhr, N. Kim, N. Obuchowski, S. Gallinger, W. Wang, A. Stunt, H. Liu, R. Gao, S. Grbic, Z. Deng, Y. He, Y. Shi, R. Vétil, N. Debs, C. Abi-Nader, A. Bône, M. Rohé, C. Yu, J. Ma, T. Fu, B. Wang, A. Bezuidenhout, A. Huber, A. Liguori, A. Korchi, A. Ponsiglione, A. Schulz, A. Stanzione, A. Minieri, B. Chen, C. Maino, C. Triantopoulou, D. Christodoulou, D. Geisel, D. Koh, E. Boffa, E. Boninsegna, E. Genco, E. Soloff, E. Lettieri, F. Omboni, F. Castagnoli, F. Prato, F. Wessels, G. Avesani, G. Porrello, G. Brembilla, G. Morana, G. Zamboni, G. di Costanzo, G. Juliusson, H. Jenssen, H. Zandvoort, J. Pijls, J. Prince, K. De Paepe, K. Petrovic, L. van Valkenhoef, L. Fortuna, L. Mannacio, M. Engelbrecht, M. Chincarini, M. Dioguardi Burgio, M. Zerunian, M. Imbriaco, M. Bariani, M. Bonatti, M. Ronot, N. Norstedt, N. Kurt, N. Patel, P. Sbeghen, P. Patel, P. Bonaffini, R. Mucelli, R. Büyüktoka, R. Geenen, R. Cuocolo, R. Valletta, R. Musella, R. Cannella, R. Dwarkasing, S. Venturini, S. Gourtsoyianni, S. Malekzadeh, U. Tupputi, V. Obmann and V. Liu, "Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational study",
The Lancet Oncology,
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M. Tran, P. Schmidle, R. Guo, S. Wagner, V. Koch, V. Lupperger, B. Novotny, D. Murphree, H. Hardway, M. D'Amato, J. Lefkes, D. Geijs, A. Feuchtinger, A. Böhner, R. Kaczmarczyk, T. Biedermann, A. Amir, A. Mooyaart, F. Ciompi, G. Litjens, C. Wang, N. Comfere, K. Eyerich, S. Braun, C. Marr and T. Peng, "Generating dermatopathology reports from gigapixel whole slide images with HistoGPT",
Nature Communications,
2025;16.
M. Schuurmans, A. Saha, N. Alves, P. Vendittelli, D. Yakar, S. Sabroso-Lasa, N. Xue, N. Malats, H. Huisman, J. Hermans and G. Litjens, "End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study",
European Radiology,
2025.
R. van den Elshout, J. Schoenmakers, A. Veltien, L. Boer, B. Küsters, G. Litjens, F. Meijer, A. van der Kolk, T. Scheenen, M. Wiesmann and D. Henssen, "Post-mortem 11.7 T DTI validation of myeloarchitectural changes in glioblastoma infiltration: Correlation with histology and PLI",
Brain Research Bulletin,
2025;230:111526.
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.
I. Slootweg, N. García-De-La-Puente, G. Litjens and S. Dammak, "Self-supervised large-scale kidney abnormality detection in drug safety assessment studies",
arXiv:2509.00131,
2025.
S. Sun, D. van Midden, G. Litjens and C. Baumgartner, "Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification",
arXiv:2503.08384,
2025.
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.
J. Lefkes, M. D'Amato, S. Sun, G. Litjens and F. Ciompi, "Large Language Models Automate Diagnostic Conclusions Generation from Microscopic Descriptions in Multiple Cancer Types",
Laboratory Investigation,
2025;105:103608.
N. Khalili, J. Spronck, F. Ciompi, J. der Van Laak and G. Litjens, "A human-in-the-loop framework for refining deep learning models in pathology segmentation",
Medical Imaging 2025: Digital and Computational Pathology,
2025:21.