Publications

2025

Papers in international journals

  1. C. Roest, T. Kwee, I. de Jong, I. Schoots, P. van Leeuwen, S. Heijmink, H. van der Poel, S. Fransen, A. Saha, H. Huisman and D. Yakar, "Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression", Radiology: Imaging Cancer, 2025;7.
    Abstract DOI PMID
  2. R. van der Waerden, R. Volleberg, T. Luttikholt, P. Cancian, J. van der Zande, G. Stone, N. Holm, E. Kedhi, J. Escaned, D. Pellegrini, G. Guagliumi, S. Mehta, N. Pinilla-Echeverri, R. Moreno, L. Räber, T. Roleder, B. van Ginneken, C. Sánchez, I. Isgum, N. van Royen and J. Thannhauser, "Artificial intelligence for the analysis of intracoronary optical coherence tomography images: a systematic review", European Heart Journal - Digital Health, 2025.
    Abstract DOI
  3. D. Peeters, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, R. Vliegenthart, M. Prokop and C. Jacobs, "Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection", Computers in Biology and Medicine, 2025;186:109633.
    Abstract DOI
  4. L. Thijssen, M. de Rooij and H. Huisman, "External validation of automated prostate MR T2-weighted image quality assessment on multi-centre multi-vendor data", European Journal of Radiology Artificial Intelligence, 2025;1:100002.
    Abstract DOI

Preprints

  1. A. Jiménez-Sánchez, N. Avlona, S. de Boer, V. Campello, A. Feragen, E. Ferrante, M. Ganz, J. Gichoya, C. González, S. Groefsema, A. Hering, A. Hulman, L. Joskowicz, D. Juodelyte, M. Kandemir, T. Kooi, J. Lérida, L. Li, A. Pacheco, T. Rädsch, M. Reyes, T. Sourget, B. van Ginneken, D. Wen, N. Weng, J. Xu, H. Zając, M. Zuluaga and V. Cheplygina, "In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review", arXiv:2501.10727, 2025.
    Abstract DOI arXiv
  2. 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

PhD theses

  1. E. Markus-Smeets, "Build bridges to break barriers: Using quantitative imaging to understand pancreas tumor biology", PhD thesis, 2025.
    Abstract Url
  2. J. van der Graaf, "AI-driven MRI analysis for low back pain management", PhD thesis, 2025.
    Abstract Url
  3. L. Boulogne, "Accelerating research on 3D medical image classification and regression", PhD thesis, 2025.
    Abstract Url
  4. J. Linmans, "Uncertainty estimation in digital pathology: Towards applying artificial intelligence in an uncertain clinical world", PhD thesis, 2025.
    Abstract Url
  5. H. Pinckaers, "Prognostic modeling for prostate cancer patients using gigapixel-sized images", PhD thesis, 2025.
    Abstract Url