PUBLICATIONS
Journal Publications
In Conference Proceedings
Abstracts
Theses
- 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 and C. Jacobs
European Radiology, 2023. doi.org/10.1007/s00330-024-10714-7
- Reproducibility of Training Deep Learning Models for Medical Image Analysis
J. Bosma, D. Peeters, N. Alves, A. Saha, Z. Saghir, C. Jacobs and H. Huisman.
Medical Imaging with Deep Learning, 2023.
- 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 and C. Jacobs.
European Congress of Radiology, 2024. - 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 and C. Jacobs.
European Congress of Radiology, 2023.
- Self-supervised Out-of-Distribution detection for medical imaging.
R. Geurtjens, D. Peeters and C. Jacobs.
2023.
