Think Twice Before Selection: Federated Evidential Active Learning for
Medical Image Analysis with Domain Shifts

Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts

5 December 2023

Papers citing "Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts"

18 / 18 papers shown

Title
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 68 0 0 19 Mar 2025
Label Calibration in Source Free Domain Adaptation Shivangi Rai Rini Smita Thakur Kunal Jangid Vinod K. Kurmi UQCV 33 1 0 13 Jan 2025
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 22 1 0 15 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 24 0 0 07 Sep 2024
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 26 22 0 22 Oct 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice Deepshikha Pandey Qi Yu EDL 19 15 0 19 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 14 5 0 01 May 2023
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection Jiakang Yuan Bo-Wen Zhang Xiangchao Yan Tao Chen Botian Shi Yikang Li Yu Qiao 29 16 0 10 Mar 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li Tao R. Lin Xinyi Shang Chao-Xiang Wu FedML 30 58 0 14 Feb 2023
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification Nannan Wu Li Yu Xin Yang Kwang-Ting Cheng Zengqiang Yan FedML 17 19 0 28 Jun 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 36 27 0 26 May 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning J. Ahn Yeeun Ma Seoyun Park Cheolwoo You FedML 25 21 0 01 Feb 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 16 47 0 06 Oct 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 157 770 0 15 Feb 2021
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 146 194 0 16 Oct 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 236 35,884 0 25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015