Alert button
Picture for Matias Nicolas Bossa

Matias Nicolas Bossa

Alert button

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

Jun 25, 2023
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schon, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Muller, Silvan Mertes, Niklas Schroter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, 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 Dubois

Viaarxiv icon

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

Aug 26, 2020
Beatriz Garcia Santa Cruz, Jan Sölter, Matias Nicolas Bossa, Andreas Dominik Husch

Figure 1 for On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Figure 2 for On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Figure 3 for On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Figure 4 for On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Viaarxiv icon