The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease. - Alberto Noronha; Jennifer Modamio; Yohan Jarosz; Elisabeth Guerard; Nicolas Sompairac; German A. Preciat Gonzalez; Anna Dröfn Daníelsdóttir; Max Krecke; Diane Merten; Hulda S. Haraldsdóttir; Almut Heinken; Laurent Heirendt; et al. (Nucleic Acids Res., 2019)

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. - Beatriz Garcia Santa Cruz; Jan Sölter; Matías Nicolás Bossa; Andreas Dominik Husch (CoRR, 2020)

The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions. - Beatriz Garcia Santa Cruz; Carlos Vega; Frank Hertel (CIBB, 2021)

Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem. - Beatriz Garcia Santa Cruz; Matías Nicolás Bossa; Jan Sölter; Andreas Dominik Husch (Medical Image Anal., 2021)

Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. - Beatriz Garcia Santa Cruz; Matías Nicolás Bossa; Jan Sölter; Frank Hertel; Andreas Husch (Bildverarbeitung für die Medizin, 2022)

The effect of dataset confounding on predictions of deep neural networks for medical imaging. - Beatriz Garcia Santa Cruz; Andreas Husch; Frank Hertel (NLDL, 2022)

Biomedical Image Analysis using Deep Learning: Towards Clinically Applicable Models. - Beatriz Garcia Santa Cruz (2023)