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Biomedical Image Analysis using Deep Learning: Towards Clinically Applicable Models.

. University of Luxembourg, Luxembourg City, Luxembourg, (2023)base-search.net (ftunivluxembourg:oai:orbilu.uni.lu:10993/58331).

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The effect of dataset confounding on predictions of deep neural networks for medical imaging., , и . NLDL, Septentrio Academic Publishing, (2022)Biomedical Image Analysis using Deep Learning: Towards Clinically Applicable Models.. University of Luxembourg, Luxembourg City, Luxembourg, (2023)base-search.net (ftunivluxembourg:oai:orbilu.uni.lu:10993/58331).Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models., , , , и . Bildverarbeitung für die Medizin, стр. 114. Springer, (2022)The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions., , и . CIBB, том 13483 из Lecture Notes in Computer Science, стр. 200-216. Springer, (2021)