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Bild  Jean Le Clerc Arrastia

Jean Le Clerc Arrastia

Research Assistant WG Industrial Mathematics

Room: MZH 2060
Email: leclerc@math.uni-bremen.de
Phone: (0421) 218-63825

Publications (Selection)complete list

  1. R. Herdt, M. Schmidt, D. Otero Baguer, J. Le Clerc Arrastia, P. Maaß.
    How GAN Generators can Invert Networks in Real-Time.
    The 15th Asian Conference on Machine Learning - ACML 2023, 11.11.-14.11.2023.
    PMLR, 222:422-437, 2024.

    online at: https://proceedings.mlr.press/v222/herdt24a.html

  2. P. Jansen, J. Le Clerc Arrastia, D. Otero Baguer, M. Schmidt, J. Landsberg, J. Wenzel, M. Emberger, D. Schadendorf, E. Hadaschik, P. Maaß, K. G. Griewank.
    Deep learning based histological classification of adnex tumors.
    European Journal of Cancer, 113431 196, 2024.

    DOI: 10.1016/j.ejca.2023.113431

  3. R. Herdt, M. Schmidt, D. Otero Baguer, J. Le Clerc Arrastia, P. Maaß.
    Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/2302.02181

  4. J. Le Clerc Arrastia, N. Heilenkötter, D. Otero Baguer, L. Hauberg-Lotte, T. Boskamp, S. Hetzer, N. Duschner , J. Schaller , P. Maaß.
    Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
    MDPI Journal of Imaging, 71 7(4), Meisenbach Verlag, Bamberg, 2021.

    DOI: 10.3390/jimaging7040071