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Dive into the research topics where Valentina Corbetta is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • Enhancing Cross-Modal Medical Image Segmentation Through Compositionality

    Eijpe, A., Corbetta, V., Chupetlovska, K., Beets-Tan, R. & Silva, W., 1 Jan 2025, Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D. & Yuan, Y. (eds.). Springer Verlag, Vol. 15224 LNCS. p. 43-53 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15224 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • Explainable AI for medical image analysis

    Brás, C., Montenegro, H., Cai, L. Y., Corbetta, V., Huo, Y., Silva, W., Cardoso, J. S., Landman, B. A. & Išgum, I., 2025, Trustworthy Ai in Medical Imaging. Lorenzi, M. & Zuluaga, M. A. (eds.). Elsevier, p. 347-366 20 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

  • FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation

    Schutte, P., Corbetta, V., Beets-Tan, R. & Silva, W., 1 Jan 2025, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops - ISIC 2024, iMIMIC 2024, EARTH 2024, DeCaF 2024, Held in Conjunction with MICCAI 2024, Proceedings. Celebi, M. E., Reyes, M., Chen, Z. & Li, X. (eds.). Springer Verlag, Vol. 15274 LNCS. p. 246-255 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15274 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation

    Stelter, L., Corbetta, V., Beets-Tan, R. & Silva, W., 17 Dec 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. IEEE, 205300. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

  • Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data

    Corbetta, V., Beets-Tan, R. & Silva, W., 1 Jan 2024, 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 Verlag, Vol. 14348 LNCS. p. 330-340 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14348 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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