Publications d'Naga Karthik Enamundram

• 

  Naga Karthik Enamundram

  Co-superviseur: Julien Cohen-Adad
  Domaines de recherche: Apprentissage continu pour l'imagerie médicale, Estimation de l'incertitude bayésienne, Traitement d'images biomédicales

Activité

• Étudiant au doctorat: oct. 2021 - maintenant

Prépublications

• 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 et Julien Cohen-Adad
  In ArXiv, 2022.
  #DL
  [arXiv], [code]

Articles de conférence et de revue

2024

2. Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers
   Naga Karthik Enamundram, Sandrine Bedard, Jan Valosek, Sarath Chandar et 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 et Julien Cohen-Adad
   The Journal of Machine Learning for Biomedical Imaging (MELBA), 2023.
   #DL
   [paper]