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Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
23 February 2024
R. Rikhye
Aaron Loh
G. Hong
Preeti Singh
M. A. Smith
Vijaytha Muralidharan
Doris Wong
Rory Sayres
Michelle Phung
Nicolas Betancourt
Bradley Fong
Rachna Sahasrabudhe
Khoban Nasim
Alec Eschholz
Basil Mustafa
Jan Freyberg
Terry Spitz
Yossi Matias
G. Corrado
Katherine Chou
D. Webster
P. Bui
Yuan Liu
Yun-hui Liu
Justin M. Ko
Steven Lin
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Papers citing
"Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings"
2 / 2 papers shown
Title
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Özgür Türkoglu
Alexander Becker
H. Gündüz
Mina Rezaei
Bernd Bischl
Rodrigo Caye Daudt
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
FedML
UQCV
38
25
0
31 May 2022
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou
Kailas Vodrahalli
R. Novoa
Melissa Jenkins
Weixin Liang
...
Rachna Sahasrabudhe
Johan A. C. Allerup
Utako Okata-Karigane
James Zou
A. Chiou
50
217
0
15 Mar 2022
1
