LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation

5 December 2022

Papers citing "LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation"

5 / 5 papers shown

Title
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration Chung-ju Huang Yuanpeng He Xiao Han Wenpin Jiao Zhi Jin Leye Wang FedML 35 1 0 20 Jan 2025
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation Qinghe Ma Jian Zhang Lei Qi Qian Yu Yinghuan Shi Yang Gao 48 7 0 13 Apr 2024
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation Ziyuan Zhao Kaixin Xu Huai Zhe Yeo Xulei Yang Cuntai Guan 33 5 0 28 Mar 2023
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation Kang Li Shujun Wang Lequan Yu Pheng-Ann Heng 62 28 0 07 Jan 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017