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!

Thanks everyone for joining the workshop! The papers and slides are now available on the program page.