Publications of Dré Peeters

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. 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

Abstracts

1. 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
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. 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
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