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Valentina Corbetta V

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Valentina Corbetta

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Link to Utrecht University staff page

https://www.uu.nl/staff/VCorbetta

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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Publication network from the last five years

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  • 5 Conference contribution
  • 2 Chapter
  • 1 Conference article

  • Preserving Ordinality in Diabetic Retinopathy Grading through a Distribution-Based Loss Function

    Stelter, L., Corbetta, V., Lakbir, S., Beets-Tan, R., Cruz, R. P., Cardoso, J. S. & Silva, W., 2026, In: Proceedings of Machine Learning Research. 307, p. 388-414 27 p.

    Research output: Contribution to journal › Conference article › Academic › peer-review

    Open Access
    File

  • Enhancing Cross-Modal Medical Image Segmentation Through Compositionality

    Eijpe, A., Corbetta, V., Chupetlovska, K., Beets-Tan, R. & dos Santos Silva, W., 2025, Deep Generative Models: DGM4MICCAI. Springer, p. 43-53 11 p. (Lecture Notes in Computer Science; vol. 15224).

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

    Open Access
    File

  • 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., Jan 2025, Trustworthy AI in Medical Imaging. Elsevier, p. 347-366 20 p.

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

  • FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation

    Schutte, P., Corbetta, V., Beets-Tan, R. & Silva, W., 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. Celebi, M. E., Reyes, M., Chen, Z. & Li, X. (eds.). Springer Science and Business Media Deutschland GmbH, 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 proceeding › Conference contribution › Academic › peer-review

    Open Access
    File

  • In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging

    Corbetta, V., Dijkstra, F. S., Beets-Tan, R., Kervadec, H., Wickstrøm, K. & Silva, W., 2025, Proceedings of the IEEE/CVF International Conference on Computer Vision. IEEE, p. 7312-7321 10 p.

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

    Open Access
    File
View all 8 research outputs