Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2204.05203
Cited By
v1
v2
v3 (latest)
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning
11 April 2022
Filip Ślazyk
Przemysław Jabłecki
Aneta Lisowska
Maciej Malawski
Szymon Płotka
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Github (3★)
Papers citing
"CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning"
8 / 8 papers shown
Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
FedML
CML
483
1
0
08 May 2025
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos
Florian Leiser
Aditya Rastogi
Steven Hicks
Inga Strümke
V. Madai
Tobias Budig
Ali Sunyaev
A. Hilbert
223
3
0
07 Nov 2024
Federated Contrastive Learning for Volumetric Medical Image Segmentation
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
77
59
0
23 Apr 2022
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Zhen Chen
Meilu Zhu
Chen Yang
Yixuan Yuan
OOD
57
38
0
01 Oct 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
Nanqing Dong
Irina Voiculescu
FedML
52
62
0
15 Sep 2021
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
68
114
0
21 Sep 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
84
781
0
22 Jun 2020
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
408
17,615
0
17 Feb 2016
1