Publications of Ernst Scholten

2025

Papers in international journals

1. 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
2. J.S. Bosma, K. Dercksen, L. Builtjes, R. André, C. Roest, S. Fransen, C. Noordman, M. Navarro-Padilla, J. Lefkes, N. Alves, M. de Grauw, L. van Eekelen, J. Spronck, M. Schuurmans, B. de Wilde, W. Hendrix, W. Aswolinskiy, A. Saha, J. Twilt, D. Geijs, J. Veltman, D. Yakar, M. de Rooij, F. Ciompi, A. Hering, J. Geerdink, H. Huisman, O. behalf of the consortium, M. de Grauw, L. van Eekelen, B. de Wilde, Q. van Lohuizen, M. Stegeman, K. Rutten, I. Smit, G. Stultiens, C. Overduin, M. Rutten, E. Scholten, R. van der Post, K. Grünberg, S. Vos, E. Taken, I. Nagtegaal, A. Mickan, M. Groeneveld, P. Gerke, J. Meakin, M. Looijen-Salamon, T. de Haas, F. Hoitsma, M. D'Amato and M. de Rooij, "The DRAGON benchmark for clinical NLP", npj Digital Medicine, 2025;8.
   Abstract DOI PMID
3. 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
4. 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
5. 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

Abstracts

1. 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
2. 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
3. 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
4. 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