Publications of Colin Jacobs

all all years 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 and before

2025

Papers in international journals

  1. N. Antonissen, O. Tryfonos, I. Houben, C. Jacobs, M. de Rooij and K. van Leeuwen, "Artificial intelligence in radiology: 173 commercially available products and their scientific evidence", European Radiology, 2025.
    Abstract DOI PMID
  2. R. Dinnessen, D. Peeters, N. Antonissen, F. Mohamed Hoesein, H. Gietema, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodules", European Radiology, 2025.
    Abstract DOI PMID
  3. 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
  4. 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
  5. E. van der Heijden, M. Snoeren and C. Jacobs, "Incidentele longnoduli op CT-scan: wat te doen? [Incidental pulmonary nodules on CT imaging: what to do?]", Nederlands Tijdschrift voor Geneeskunde, 2025;169:D8431.
    PMID
  6. 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
  7. 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
  8. 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
  9. S. Gaur, M. Vitale, A. Hering, J. Kwisthout, C. Jacobs, L. Philipp and F. van der Graaf, "Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening", Machine Learning for Biomedical Imaging, 2025;3:559-580.
    Abstract DOI
  10. 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
  11. 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
  12. N. Billingy, C. Verberkt, I. Bahce, M. Hassing, J. Schoorlemmer, M. Sarioglu, S. Senan, E. Aarntzen, E. Comans, W. Kievit, S. Teerenstra, C. Jacobs, A. Keijser, M. Heuvel, A. Becker-Commissaris and I. Walraven, "Beneficial value of [18F]FDG PET/CT in the follow-up of patients with stage III non-small cell lung cancer (NVALT31-PET study): study protocol of a multicentre randomised controlled trial", BMJ Open, 2025;15(7).
    Abstract 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
  4. R. Dinnessen, A. Antonissen, D. Peeters, H. Gietema, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Exploring AI-enabled nodule management for incidentally detected pulmonary nodules on CT.", Annual Meeting of the European Society of Thoracic Imaging, 2025.
    Abstract

PhD theses

  1. L. Boulogne, "Accelerating research on 3D medical image classification and regression", PhD thesis, 2025.
    Abstract Url