Peer-reviewed publications
A National Audit of Mammography Systems Settings That May Affect the Output of Artificial Intelligence Software.
Mackenzie, A.; Loveland, J.; Farshadi, L.; Roozemond, C.; van Engen, R.E. A National Audit of Mammography Systems Settings That May Affect the Output of Artificial Intelligence Software. Diagnostics 2026, 16, 1842.
Style Transfer as Data Augmentation: Evaluating Unpaired Image-to-Image Translation Models in Mammography
E. Ahmed, S. A. Thomas and C. Bench, "Style Transfer as Data Augmentation: Evaluating Unpaired Image-to-Image Translation Models in Mammography," 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, 2025, pp. 1-7, doi: 10.1109/EMBC58623.2025.11253212.
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
C. Bench, E. Ahmed and S. Thomas, "Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios," 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-10, doi: 10.1109/IJCNN64981.2025.11229379.
Image-based reconstruction of anthropomorphic breast phantoms for synthetic mammogram generation
M. Oria, R. Ferrero, C. Andreis, M. Vicentini, R. van Engen, C. Roozemond, P. Lamberti, S. Remogna, and A. Manzin, "Image-based reconstruction of anthropomorphic breast phantoms for synthetic mammogram generation", Computers in Biology and Medicine, Volume 198, Part A, 111121, 1 October 2025; https://doi.org/10.1016/j.compbiomed.2025.111121.
Survey of image processing used for mammography systems in the United Kingdom: how variable is it?
A. Mackenzie, J. Loveland, and R. van Engen, “Survey of image processing settings used for mammography systems in the United Kingdom: how variable is it?”, in 17th International Workshop on Breast Imaging (IWBI 2024), SPIE, May 2024, article number 1317410; doi: 10.1117/12.3026876.
Position: XAI needs formal notions of explanation correctness
S. Haufe, R. Wilming, B. Clark, R. Zhumagambetov, D. Panknin, and A. Boubekki, "Position: XAI needs formal notions of explanation correctness", The Thirty-Eighth Annual Conference on Neural Information Processing Systems, NeurIPS 2024 Workshop Interpretable AI, article number 5, 2024.