Dual-Consistency Semi-Supervised Learning with Uncertainty
Quantification for COVID-19 Lesion Segmentation from CT Images

Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

7 April 2021

Luyang Luo

Pheng-Ann Heng

Papers citing "Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images"

9 / 9 papers shown

Title
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation Zhenxi Zhang Ran Ran Chunna Tian Heng Zhou Fan Yang Xin Li Zhicheng Jiao 28 2 0 25 May 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Zhilin Wang AI4TS 24 7 0 16 Mar 2023
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 29 152 0 28 Jul 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction Hu Wang Jianpeng Zhang Yuanhong Chen Congbo Ma Jodie Avery Louise Hull G. Carneiro UQCV 19 18 0 22 Jul 2022
LViT: Language meets Vision Transformer in Medical Image Segmentation Zihan Li Yunxiang Li Qingde Li Puyang Wang Dazhou Guo Le Lu D. Jin You Zhang Qingqi Hong VLM MedIm 59 134 0 29 Jun 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 32 49 0 04 May 2022
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 81 119 0 20 Mar 2020
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