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The STOIC2021 COVID-19 AI challenge: applying reusable training
  methodologies to private data

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data

18 June 2023
L. Boulogne
Julian Lorenz
Daniel Kienzle
Robin Schon
K. Ludwig
Rainer Lienhart
S. Jégou
Guang Li
Cong Chen
Qi Wang
De-jun Shi
Mayug Maniparambil
Dominik Muller
Silvan Mertes
Niklas Schroter
Fabio Hellmann
Miriam Elia
Ine Dirks
M. Bossa
Abel Díaz Berenguer
Tanmoy Mukherjee
Jef Vandemeulebroucke
Hichem Sahli
Nikos Deligiannis
Panagiotis Gonidakis
Ngoc Dung Huynh
Imran Razzak
Réda Bouadjenek
Mario Verdicchio
P. Borrelli
M. Aiello
J. Meakin
A. Lemm
C. Russ
R. Ionasec
Nikos Paragios
Bram van Ginneken
Marieke Dubois
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Papers citing "The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data"

2 / 2 papers shown
Title
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
1