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eess.IV2023★ 2 cited
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle +35
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Publ…
eess.IV2022★ 3 cited
Representation Learning with Information Theory for COVID-19 Detection
Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa +2
Successful data representation is a fundamental factor in machine learning based medical imaging analysis. Deep Learning (DL) has taken an essential role in robust representation l…