Reviews should now be visible on CMT and the corresponding author for each full paper should have received a notification email.

We’re just waiting on a few reviews before we can release these. We hope to have them out within the next 24 hours. Thanks for your patience!

Along with MICCAI this year, LABELS will be held as a virtual meeting due to the ongoing COVID-19 pandemic. We will be using the same virtual platform as the main conference and we will provide more details on this once they are made available to us.

In the meantime, paper and abstract submission will proceed as planned. We’re excited to see your work! Full papers are due on July 6 and abstracts are due July 20. These deadlines will not be extended.

The call for papers for the 2020 edition of LABELS is now available. There are a few changes this year so be sure to take a look!

There will be a 5th edition of the LABELS workshop in Lima! Stay tuned for more details

Our sincere apologies, due to some late reviews, we will be delaying the decision announcements until August 14. Thanks for your patience!

The deadline for full papers and abstracts has been extended to July 15.
Important Dates

Please submit your full papers prior to June 24th and your abstracts prior to July 7th!

– Call for Papers
– Microsoft CMT Submission

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!