Publications of Mathias Prokop

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. 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
3. M. Buser, S. de Boer, H. Häntze, S. Muselaers, J. Fütterer, F. Busch, P. Sountoulides, A. Stanzione, K. Bressem, L. Adams, E. Smit, M. Prokop and A. Hering, "Deep Learning-Based Clinical Decision Support for Renal Cell Carcinoma Using Computed Tomography: An Expert-Informed Scoping Review", European Journal of Radiology Artificial Intelligence, 2026;7:100110.
   DOI
4. S. Bunk, T. Bruins Slot, E. Bennink, G. Sidorenkov, N. van der Velden, N. Schurink, F. Lades, M. Sebald, M. Heuvelmans, H. Gietema, J. Aerts, G. de Bock, C. Schaefer-Prokop, P. de Jong, R. Vliegenthart, F. Mohamed Hoesein, N. consortium, R. Cornelissen, R. Stadhouders, J. van Rooij, L. Trap, K. Nackaerts, W. de Wever, M. Prokop, C. Jacobs, N. Antonissen, G. de Bock, D. Zhong, H. Groen, N. van der Velden, G. Downward and R. Vermeulen, "Repeatability of AI-quantified incidental findings on lung cancer screening CT scans in the NELSON trial", European Radiology, 2026;36:7524-7534.
   Abstract DOI
5. M. de Grauw, M. Westphal, E. Smit, E. Scholten, T. Lo\ssau , J. Moltz, S. Bottazzi, R. Cuocolo, A. D'Angelo, A. George, H. van Heusden, A. Liguori, V. Longo, L. Mannacio, N. Minh, A. Othman, A. Ponsiglione, J. Roosen, M. de Rooij, L. Russo, S. Schalekamp, M. Snoeren, A. Stanzione, S. Steinmetz, C. Verkroost, B. Vernhout, L. Xu, D. Yakar, M. Rutten, B. van Ginneken, M. Prokop and A. Hering, "Multicenter AI-versus Expert-Assisted RECIST Target Lesion Measurements in Follow-Up Body CT of Cancer Patients", Radiology Advances, 2026.
   Abstract DOI
6. S. de Boer, H. Häntze, K. Venkadesh, M. Buser, G. Humpire Mamani, L. Xu, L. Adams, J. Nawabi, K. Bressem, B. van Ginneken, M. Prokop and A. Hering, "Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework", Machine Learning for Biomedical Imaging, 2026;2026:229-251.
   DOI
7. E. Suazo-Zepeda, G. de Bock, N. Antonissen, C. Jacobs, F. Mohamed Hoesein, H. Gietema, G. Sidorenkov, R. Vliegenthart, M. Heuvelmans, 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, E. Suazo-Zepeda, 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, "Associations between CT characteristics of lung cancer lesions and histologic subtypes in lung cancer screening", European Radiology, 2026.
   Abstract DOI
8. S. de Boer, H. Häntze, S. Ziegelmayer, T. Russo, B. van Ginneken, M. Prokop, K. Bressem and A. Hering, "RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging Research", Machine Learning for Biomedical Imaging, 2026;2026:772-782.
   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

Papers in conference proceedings

1. R. Weber, N. Rocholl, M. de Grauw, M. Prokop, E. Smit and A. Hering, "Data-driven Model Adaptation Enhances Lesion Segmentation", Bildverarbeitung für die Medizin 2026, 2026:482-489.
   Abstract

Abstracts

1. 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
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