Moucheng Named Finalist for MICCAI Young Scientist Award (Best Paper Award)
Satsuma Lab is delighted to announce that Moucheng was named a finalist for the MICCAI Young Scientist Award for his paper: Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation (Semi-Supervised Segmentation with Pseudo Labels). A journal extension can be found here: Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations
The MICCAI Young Scientist Award recognizes the best papers that are first-authored by young scientists at the main MICCAI conference. This award is regarded as one of the most prestigious and most competitive award in the field of medical image computing. Each year has 5 winners, 15 finalists and 30 nominations. In 2022, there were 1825 total submissions, making Moucheng’s paper top 0.8 % among all of the submissions.