Publications

2026

Papers in international journals

  1. 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.
    Abstract DOI PMID
  2. 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.
    Abstract DOI PMID
  3. 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.
    DOI
  4. 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.
    Abstract DOI
  5. 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.
    Abstract DOI
  6. 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.
    Abstract DOI
  7. 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.
    DOI
  8. 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.
    DOI
  9. 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.
    Abstract DOI

Preprints

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

Papers in conference proceedings

  1. 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.
    Abstract
  2. 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.
    DOI

PhD theses

  1. P. Venditelli, "Learning from histopathology images: AI-driven biomarkers for pancreatic ductal adenocarcinoma", PhD thesis, 2026.
    Abstract Url