Publications by Naga Karthik Enamundram

• 

  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?
  Naga Karthik Enamundram, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, and Julien Cohen-Adad
  In ArXiv, 2022.
  #DL
  [arXiv], [code]

Conference and Journal Papers

2024

2. Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers
   Naga Karthik Enamundram, Sandrine Bedard, Jan Valosek, Sarath Chandar, and Julien Cohen-Adad
   Medical Imaging with Deep Learning (MIDL), 2024.
   #DL, #Other
   [openreview]

2023

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