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Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
15 May 2024
Markus R. Bujotzek
Unal Akunal
Stefan Denner
Peter Neher
M. Zenk
Eric Frodl
Astha Jaiswal
Moon S. Kim
Nicolai R. Krekiehn
Manuel Nickel
Richard Ruppel
M. Both
Felix Döllinger
Marcel Opitz
Thorsten Persigehl
Jens Kleesiek
Tobias Penzkofer
Klaus H. Maier-Hein
R. Braren
Andreas Bucher
AI4CE
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Papers citing
"Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain"
5 / 5 papers shown
Title
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings
Jean Ogier du Terrail
Quentin Klopfenstein
Honghao Li
Imke Mayer
Nicolas Loiseau
Mohammad Hallal
Félix Balazard
M. Andreux
9
2
0
28 Nov 2023
Federated learning: Applications, challenges and future directions
Subrato Bharati
Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
FedML
28
52
0
18 May 2022
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
Alexandros Karargyris
Renato Umeton
Micah J. Sheller
Alejandro Aristizabal
Johnu George
...
Poonam Yadav
Michael Rosenthal
M. Loda
Jason M. Johnson
Peter Mattson
FedML
44
71
0
29 Sep 2021
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
42
208
0
14 Jan 2021
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,690
0
18 Mar 2020
1