• Picture of Naga Karthik Enamundram

    Co-supervisor: Julien Cohen-Adad
    Research Areas: Continual Learning in Medical Imaging, Bayesian Uncertainty Estimation, Biomedical Image Processing

Activity

  • PhD Student: Oct 2021 - now

Preprints

  • Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
    , Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, , and Julien Cohen-Adad
    In ArXiv, 2022.
    #DL
    [arXiv], [code]

Conference and Journal Papers

2023

  1. Label fusion and training methods for reliable representation of inter-rater uncertainty
    Andreanne Lemay, Charley Gros, , and Julien Cohen-Adad
    The Journal of Machine Learning for Biomedical Imaging (MELBA), 2023.
    #DL
    [paper]