From trivial representations to learning concepts in AI by exploiting unique data

  • 4 Conference contribution
  • 1 Article
  • 1 Editorial

Search results

  • 2024

    BMFT: Achieving fairness via bias-based weight masking fine-tuning

    Xue, Y., Yan, J., Dutt, R., Haider, F., Liu, J., McDonagh, S. & Tsaftaris, S. A., 15 Jul 2024, (Accepted/In press) International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File

  • Editorial: Methods in artificial intelligence for dementia 2024

    Sadeghian, R., Haider, F., Fraser, K., Tasaki, S. & Terrera, G., 1 Jul 2024, (E-pub ahead of print) In: Frontiers in Dementia. 3, 1444825.

    Research output: Contribution to journal › Editorial › peer-review

    Open Access
    File
  • 2023

    Neural networks memorise personal information from one sample

    Hartley, J., Sanchez, P., Haider, F. & Tsaftaris, S. A., Dec 2023, In: Scientific Reports. 13, 1, p. 21366 21366.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Group Distributionally Robust Knowledge Distillation

    Vilouras, K., Liu, X., Sanchez, P., O’Neil, A. Q. & Tsaftaris, S. A., 15 Oct 2023, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer, p. 234-242 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14349 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Debiasing Counterfactuals in the Presence of Spurious Correlations

    Kumar, A., Fathi, N., Mehta, R., Nichyporuk, B., Falet, J. P. R., Tsaftaris, S. & Arbel, T., 9 Oct 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). Springer, p. 276-286 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction

    Du, Y., Xue, Y., Dharmakumar, R. & Tsaftaris, S. A., 9 Oct 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). Springer, p. 102-111 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution