Publications

Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodules

R. Dinnessen, D. Peeters, N. Antonissen, F. Mohamed Hoesein, H. Gietema, E. Scholten, C. Schaefer-Prokop, C. Jacobs · European Radiology · doi:10.1007/s00330-025-11829-1

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection

D. Peeters, K.V. Venkadesh, R. Dinnessen, Z. Saghir, E.T. Scholten, R. Vliegenthart, M. Prokop, C. Jacobs · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.109633

Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation

D. Peeters, N. Alves, K.V. Venkadesh, R. Dinnessen, Z. Saghir, E.T. Scholten, C. Schaefer-Prokop, R. Vliegenthart, M. Prokop, C. Jacobs · European Radiology · doi:10.1007/s00330-024-10714-7

Benchmarking of Artificial Intelligence and Radiologists for Lung Cancer Screening in CT: The LUNA25 Challenge

D. Peeters, B. Obreja, N. Antonissen, R. Dinnessen, Z. Saghir, E. Scholten, R. Vliegenthart, M. Prokop, C. Jacobs · European Congress of Radiology (ECR)

Benchmarking of Artificial Intelligence and Radiologists for Lung Cancer Screening in CT: The LUNA25 Challenge

D. Peeters, B. Obreja, N. Antonissen, R. Dinnessen, Z. Saghir, E. Scholten, R. Vliegenthart, M. Prokop, C. Jacobs · Annual Meeting of the Medical Image Computing and Computer Assisted Intervention Society (MICCAI)

Exploring AI-enabled nodule management for incidentally detected pulmonary nodules on CT

R. Dinnessen, A. Antonissen, D. Peeters, H. Gietema, E. Scholten, C. Schaefer-Prokop, C. Jacobs · Annual Meeting of the European Society of Thoracic Imaging (ESTI)

External validation of an AI algorithm for pulmonary nodule malignancy risk estimation on a dataset of incidentally detected pulmonary nodules

R. Dinnessen, K. Venkadesh, D. Peeters, H. Gietema, E. Scholten, C. Schaefer-Prokop, C. Jacobs · European Congress of Radiology (ECR)

Towards safe and reliable implementation of AI models for nodule malignancy estimation using distance-based out-of-distribution detection

D. Peeters, K.V. Venkadesh, R. Dinnessen, Z. Saghir, E.T. Scholten, R. Vliegenthart, M. Prokop, C. Jacobs · Annual Meeting of the European Society of Thoracic Imaging (ESTI)

Reproducibility of Training Deep Learning Models for Medical Image Analysis

J. Bosma, D. Peeters, N. Alves, A. Saha, Z. Saghir, C. Jacobs, H. Huisman · Medical Imaging with Deep Learning (MIDL)

The effect of applying an uncertainty estimation method on the performance of a deep learning model for nodule malignancy risk estimation

D. Peeters, N. Alves, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, H. Huisman, C. Schaefer-Prokop, R. Vliegenthart, M. Prokop, C. Jacobs · European Congress of Radiology (ECR)

Self-supervised Out-of-Distribution detection for medical imaging

R. Geurtjens, D. Peeters, C. Jacobs · MSc thesis