Best paper award

By | September 22, 2018

We had three nominees for the best paper award at LABELS, sponsored by RetinAI. The nominees were:

  • Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos by Armine Vardazaryan, Didier Mutter, Jacques Marescaux, and Nicolas Padoy
  • Deep Learning Retinal Vessel Segmentation From a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural
    Networks by Praneeth Sadda, John A. Onofrey, and Xenophon Papademetris

  • Imperfect Segmentation Labels: How Much Do They Matter? by Nicholas Heller, Joshua Dean, and Nikolaos Papanikolopoulos

The winner of the award is:

Deep Learning Retinal Vessel Segmentation From a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks by Praneeth Sadda, John A. Onofrey, and Xenophon Papademetris

Congratulations to all!

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