Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning

Raumanns, R. (Corresponding author-nrf), Schouten, G., Pluim, J. P. W. & Cheplygina, V., 13 Oct 2024, Ethics and Fairness in Medical Imaging: Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings. Puyol-Antón, E., Zamzmi, G., Feragen, A., King, A. P., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Petersen, E., Baxter, J. S. H., Rekik, I. & Eagleson, R. (eds.). Cham: Springer, p. 14-23 10 p. (Lecture Notes in Computer Science (LNCS); vol. 15198).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Risk of Training Diagnostic Algorithms on Data with Demographic Bias

Abbasi-Sureshjani, S., Raumanns, R., Michels, B. E. J., Schouten, G. & Cheplygina, V., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Cardoso, J., Silva, W., Cruz, R., Van Nguyen, H., Roysam, B., Heller, N., Henriques Abreu, P., Pereira Amorim, J., Isgum, I., Patel, V., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Abbasi, S., Mateus, D. & Trucco, E. (eds.). Springer, p. 183-192 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review