Mou-Cheng Xu | Satsuma

MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels

Wed, 10 May 2023 00:00:00 +0000

Moucheng Named Finalist for MICCAI Young Scientist Award (Best Paper Award)

Wed, 10 May 2023 00:00:00 +0000

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.

Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis

Sat, 08 Oct 2022 00:00:00 +0000

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

Tue, 27 Sep 2022 00:00:00 +0000

Satsuma Lab @ BMVA 2022 Symposium

Mon, 04 Apr 2022 00:00:00 +0000

Satsuma Lab presenting two posters at the special BMVA symposium 2022 in Manchester, UK!

Checkout our posters on:

Learning Morphological Feature Perturbation for Semi-Supervised Segmentation

Sun, 27 Feb 2022 00:00:00 +0000

Disentangling Human Error from Ground Truth in Segmentation of Medical Images

Mon, 07 Dec 2020 00:00:00 +0000

Learning to Pay Attention to Mistakes

Sun, 06 Sep 2020 00:00:00 +0000