There will be another LABELS workshop in 2019! We will announce more details (such as the exact date and call for papers) soon, please stay tuned!
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.
By popular demand the submission of full papers is extended to June 18th! Abstracts can be submitted until June 25th.
We have extended the submission deadline until Monday the 11th of June. Remember, previous/ongoing work is welcome in the form of abstracts!
Our call for papers is now live, see the details here and submit your paper or abstract before 1st of June!
There will be another LABELS workshop in 2018! We will announce more details (such as the exact date) soon, please stay tuned!
The proceedings for LABELS (together with the CVII-STENT workshop) can be found via http://goo.gl/TzEdzQ
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!
If you want to share news about your accepted paper on social media, please use the hashtag #MICCAILABELS!