Publications of Colin Jacobs

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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. N. Antonissen, S. Schalekamp, H. Hahn, K. van Leeuwen and C. Jacobs, "Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence", European Radiology, 2026.
    Abstract DOI PMID
  3. S. Bunk, E. Bennink, G. Sidorenkov, M. Heuvelmans, H. Groen, H. Gietema, M. Prokop, J. Aerts, C. Jacobs, G. de Bock, P. de Jong, R. Vliegenthart, F. Mohamed Hoesein, J. Aerts, R. Cornelissen, R. Stadhouders, J. van Rooij, L. Trap, M. Prokop, C. Schaefer-Prokop, C. Jacobs, G. de Bock, M. Heuvelmans, G. Sidorenkov, D. Zhong, H. Groen, R. Vliegenthart, P. de Jong, F. Mohamed Hoesein, S. Bunk and G. Downward, "CT-based body composition and its change through time in relation to outcomes in participants screened for lung cancer", eBioMedicine, 2026;127:106276.
    DOI PMID
  4. D. Zhong, G. Sidorenkov, M. Greuter, C. Jacobs, P. de Jong, H. Gietema, H. Groen, F. Mohamed Hoesein, N. Antonissen, R. Stadhouders, H. Lancaster, M. Heuvelmans, R. Vliegenthart and G. de Bock, "Improving Lung Cancer Screening Selection: A Comparative Analysis of Risk Models and Traditional Criteria in a Western European General Population", Cancers, 2026;18:724.
    Abstract DOI PMID
  5. J. Tagscherer, S. de Boer, F. van der Graaf, L. Philipp, C. Jacobs, E. Smit and A. Hering, "Systematic evaluation of foundation models for organ-level classification on CT scans", International Journal of Computer Assisted Radiology and Surgery, 2026.
    Abstract DOI
  6. R. Dinnessen, N. Antonissen, D. Peeters, H. Gietema, M. Henkens, F. Mohamed Hoesein, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Multicentre performance and consistency of two deep learning models for malignancy probability estimation of incidental pulmonary nodules", European Radiology, 2026.
    Abstract DOI

Preprints

  1. 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

Abstracts

  1. M. Vitale, M. Vegter, C. Jacobs and M. Boenink, "Principles for AI-enabled population screening", European Congress of Radiology, 2026.
    Abstract
  2. D. Peeters, B. Obreja, N. Antonissen, Z. Saghir, U. Pastorino, G. De Bock, R. Vliegenthart, M. Prokop and C. Jacobs, "Benchmarking of Artificial Intelligence and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: Results of the LUNA25 Challenge", European Congress of Radiology, 2026.
    Abstract
  3. R. Dinnessen, N. Antonissen, D. Peeters, H. Gietema, F. Mohamed Hoesein, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Performance and generalisability of a screening-trained deep learning model for pulmonary nodule malignancy risk estimation on a multicentre dataset of incidental nodules", European Congress of Radiology, 2026.
    Abstract
  4. A. Cerrato Nieto, E. Scholten, S. Schalekamp, M. Prokop and C. Jacobs, "Benchmarking lung tumour segmentation models: stratified performance of deep learning models across tumour sizes and cancer stages", European Congress of Radiology, 2026.
    Abstract
  5. N. Antonissen, S. Schalekamp, H. Hahn, K. van Leeuwen and C. Jacobs, "Commercially available AI products for CT-based lung cancer screening: capabilities, clinical evidence, and alignment with international screening frameworks", European Congress of Radiology, 2026.
    Abstract
  6. L. Leijten, E. van der Heijden, E. Aarntzen, R. Verhoeven and C. Jacobs, "Deep-learning based malignancy risk estimation of pulmonary nodules in PET/CT imaging", European Congress of Radiology, 2026.
    Abstract
  7. M. Vitale, M. Vegter, C. Jacobs and M. Boenink, "Algorithmic Fairness unfolded: collaborative ethnography within a medical imaging AI lab for Lung Cancer Screening", European Congress of Radiology, 2026.
    Abstract