Publications of Mathias Prokop

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2025

Papers in international journals

  1. L. Builtjes, J. Bosma, M. Prokop, B. van Ginneken and A. Hering, "Leveraging open-source large language models for clinical information extraction in resource-constrained settings", JAMIA Open, 2025;8.
    Abstract DOI PMID
  2. A. Snoeckx, M. Silva, H. Prosch, J. Biederer, T. Frauenfelder, F. Gleeson, C. Jacobs, H. Kauczor, A. Parkar, C. Schaefer-Prokop, M. Prokop and M. Revel, "Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging", European Radiology, 2025.
    Abstract DOI PMID
  3. M. Prokop, C. Schaefer-Prokop, C. Jacobs, A. Snoeckx, J. Biederer, T. Frauenfelder, F. Gleeson, H. Kauczor, A. Parkar, R. Vliegenthart, M. Revel, M. Silva and H. Prosch, "Aggressiveness-guided nodule management for lung cancer screening in Europe--justification for follow-up intervals and definition of growth", European Radiology, 2025.
    Abstract DOI PMID
  4. R. Volleberg, R. van der Waerden, T. Luttikholt, J. van der Zande, P. Cancian, X. Gu, J. Mol, S. Quax, M. Prokop, C. Sánchez, B. van Ginneken, I. Isgum, J. Thannhauser, S. Saitta, K. Nishimiya, T. Roleder and N. van Royen, "Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning", European Heart Journal - Digital Health, 2025;6:404-416.
    Abstract DOI PMID
  5. W. Hendrix, N. Hendrix, E. Scholten, B. van Ginneken, M. Prokop, M. Rutten and C. Jacobs, "Artificial intelligence for the detection of airway nodules in chest CT scans", European Radiology, 2025.
    Abstract DOI PMID
  6. 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 PMID
  7. B. Obreja, J. Bosma, K. Venkadesh, Z. Saghir, M. Prokop and C. Jacobs, "Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk", Radiology: Artificial Intelligence, 2025.
    Abstract DOI
  8. M. Revel, J. Biederer, A. Nair, M. Silva, C. Jacobs, A. Snoeckx, M. Prokop, H. Prosch, A. Parkar, T. Frauenfelder and A. Larici, "ESR Essentials: lung cancer screening with low-dose CT--practice recommendations by the European Society of Thoracic Imaging", European Radiology, 2025.
    Abstract DOI
  9. R. Volleberg, T. Luttikholt, R. van der Waerden, P. Cancian, J. van der Zande, X. Gu, J. Mol, T. Roleder, M. Prokop, C. Sánchez, B. van Ginneken, I. Isgum, S. Saitta, J. Thannhauser and N. van Royen, "Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study", European Heart Journal, 2025.
    Abstract DOI
  10. N. Antonissen, K. Venkadesh, R. Dinnessen, E. Scholten, Z. Saghir, M. Silva, U. Pastorino, G. Sidorenkov, M. Heuvelmans, G. de Bock, F. Mohamed Hoesein, P. de Jong, H. Groen, R. Vliegenthart, H. Gietema, M. Prokop, C. Schaefer-Prokop, C. Jacobs, F. the consortium, J. Aerts, R. Cornelissen, R. Stadhouders, J. van Rooij, L. Trap, K. Nackaerts, W. de Wever, H. Gietema, M. Prokop, C. Jacobs, N. Antonissen, G. de Bock, M. Heuvelmans, G. Sidorenkov, D. Zhong, H. Groen, R. Vliegenthart, N. van der Velden, P. de Jong, F. Mohamed Hoesein, S. Bunk, G. Downward and R. Vermeulen, "External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening Data", Radiology, 2025;316.
    Abstract DOI

Preprints

  1. N. Rocholl, E. Smit, M. Prokop and A. Hering, "Unstable Prompts, Unreliable Segmentations: A Challenge for Longitudinal Lesion Analysis", arXiv:2507.19230, 2025.
    Abstract DOI arXiv
  2. X. Pham, G. Vuurberg, M. Doppen, J. Roosen, T. Stille, T. Ha, T. Quach, Q. Dang, M. Luu, E. Smit, H. Mai, M. Heinrich, B. van Ginneken, M. Prokop and A. Hering, "TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration", arXiv:2508.04450, 2025.
    Abstract DOI arXiv
  3. S. de Boer, H. Häntze, K. Venkadesh, M. Buser, G. Mamani, L. Xu, L. Adams, J. Nawabi, K. Bressem, B. van Ginneken, M. Prokop and A. Hering, "Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework", arXiv:2505.07573, 2025.
    Abstract DOI arXiv

Papers in conference proceedings

  1. X. Pham, M. Prokop, B. van Ginneken and A. Hering, "Divide to conquer: a field decomposition approach for multi-organ whole-body CT image registration", Medical Imaging 2025: Image Processing, 2025:48.
    DOI

Abstracts

  1. D. Peeters, B. Obreja, N. Antonissen, R. Dinnessen, Z. Saghir, E. Scholten, R. Vliegenthart, M. Prokop and C. Jacobs, "Benchmarking of Artificial Intelligence and Radiologists for Lung Cancer Screening in CT: The LUNA25 Challenge", European Congress of Radiology, 2025.
    Abstract
  2. N. Antonissen, D. Peeters, B. Obreja, R. Dinnessen, Z. Saghir, M. Silva, U. Pastorino, E. Scholten, F. Mohamed Hoesein, R. Vliegenthart, H. Gietema, C. Schaefer-Prokop, M. Prokop and C. Jacobs, "Benchmarking radiologists and AI for indeterminate lung nodule malignancy risk estimation on screening CT: the LUNA25 Challenge", Annual Meeting of the Radiological Society of North America, 2025.
    Abstract
  3. N. Antonissen, R. Dinnessen, D. Peeters, E. Scholten, F. Mohamed Hoesein, R. Vliegenthart, H. Gietema, C. Schaefer-Prokop, M. Prokop and C. Jacobs, "External test of a deep learning model incorporating prior imaging for risk stratification of persistent pulmonary nodules on follow-up CT", Annual Meeting of the Radiological Society of North America, 2025.
    Abstract