All Stories

  1. Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts

    Article • The Journal of Machine Learning for Biomedical Imaging, May 2022, Machine Learning for Biomedical Imaging

    Gabriele Valvano

  2. Document Layout Analysis with Variational Autoencoders: An Industrial Application

    Article • January 2022, Springer Science + Business Media

    Gabriele Valvano

  3. Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

    Article • IEEE Transactions on Medical Imaging, January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Gabriele Valvano

  4. Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training

    Article • January 2021, Springer Science + Business Media

    Gabriele Valvano

  5. Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning

    Article • January 2021, Springer Science + Business Media

    Gabriele Valvano

  6. Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging

    Article • Journal of Healthcare Engineering, April 2019, Hindawi Publishing Corporation

    Daniele Della Latta, Gabriele Valvano

  7. An automatic deep learning approach for coronary artery calcium segmentation

    Article • June 2017, Springer Science + Business Media

    Gabriele Valvano