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  • 2024

    Multi-task Learning Approach for Intracranial Hemorrhage Prognosis

    Cobo, M., Pérez del Barrio, A., Menéndez Fernández-Miranda, P., Sanz Bellón, P., Lloret Iglesias, L. & Silva, W., 23 Oct 2024, Machine Learning in Medical Imaging: 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Xu, X., Cui, Z., Sun, K., Rekik, I. & Ouyang, X. (eds.). Springer, p. 12-21 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15242 LNCS).

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

  • 2021

    Towards Privacy-preserving Explanations in Medical Image Analysis

    Montenegro, H., Silva, W. & Cardoso, J. S., 2021, Interpretable Machine Learning in Healthcare Workshop at ICML.

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

  • 2020

    Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated?

    Sequeira, A. F., dos Santos Silva, W. J., Ribeiro Pinto, J., Gonçalves, T. & Cardoso, J. S., Apr 2020, 2020 8th International Workshop on Biometrics and Forensics (IWBF). IEEE

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

  • 2019

    Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes

    dos Santos Silva, W. J., Castro, E., Cardoso, M. J., Fitzal, F. & Cardoso, J. S., Apr 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE

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