Best paper award

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!

Final deadline extension

By popular demand the submission of full papers is extended to June 18th! Abstracts can be submitted until June 25th.

Submission deadline extended

We have extended the submission deadline until Monday the 11th of June. Remember, previous/ongoing work is welcome in the form of abstracts!

Call for Papers 2018

Our call for papers is now live, see the details here and submit your paper or abstract before 1st of June!

LABELS 2018!

There will be another LABELS workshop in 2018! We will announce more details (such as the exact date) soon, please stay tuned!

Poster spotlights and award!

A bit more than two weeks left until the workshop! Here are some quick last-minute announcements:

 

  • We have a small update to the schedule. At the start of the poster session at 9:45, we will first have 1-minute poster spotlights where presenters can advertise their poster
  • There will be an award for the best poster presentation made by students or postdocs!

 

Notifications sent!

The notifications to authors have been sent – apologies for the short delay. We will soon announce the accepted papers and abstracts on this website.

For authors of accepted full papers, the camera-ready instructions are posted here. We will notify you about the volume name and editors for the copyright form as soon as possible.