Publications of Geert Litjens

2025

Papers in international journals

1. 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.
   Abstract DOI PMID
2. 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.
   Abstract DOI PMID
3. 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.
   DOI
4. 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.
   DOI

Preprints

1. 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.
   Abstract DOI arXiv
2. 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.
   Abstract DOI arXiv
3. 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.
   Abstract DOI arXiv

Papers in conference proceedings

1. 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.
   Abstract Url
2. 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.
   DOI
3. 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.
   DOI

PhD theses

1. H. Pinckaers, "Prognostic modeling for prostate cancer patients using gigapixel-sized images", PhD thesis, 2025.
   Abstract Url
2. J. Linmans, "Uncertainty estimation in digital pathology: Towards applying artificial intelligence in an uncertain clinical world", PhD thesis, 2025.
   Abstract Url