2024
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.
[DOI]
Luuk H. Boulogne
,
Julian Lorenz
,
Daniel Kienzle
,
Robin Schön
,
Katja Ludwig
,
Rainer Lienhart
,
Simon Jégou
,
Guang Li
,
Cong Chen
,
Qi Wang
,
Derik Shi
,
Mayug Maniparambil
,
Dominik Müller
,
Silvan Mertes
,
Niklas Schröter
,
Fabio Hellmann
,
Miriam Elia
,
Ine Dirks
,
Matías Nicolás Bossa
,
Abel Díaz Berenguer
,
Tanmoy Mukherjee
,
Jef Vandemeulebroucke
,
Hichem Sahli
,
Nikos Deligiannis
,
Panagiotis Gonidakis
,
Ngoc Dung Huynh
,
Imran Razzak
,
Mohamed Reda Bouadjenek
,
Mario Verdicchio
,
Pasquale Borrelli
,
Marco Aiello
,
James A. Meakin
,
Alexander Lemm
,
Christoph Russ
,
Razvan Ionasec
,
Nikos Paragios
,
Bram van Ginneken
,
Marie-Pierre Revel
Medical Image Anal., 2024