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Beatriz Garcia Santa Cruz
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2020 – today
- 2023
- [b1]Beatriz Garcia Santa Cruz:
Biomedical Image Analysis using Deep Learning: Towards Clinically Applicable Models. University of Luxembourg, Luxembourg City, Luxembourg, 2023 - 2022
- [c3]Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch:
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. Bildverarbeitung für die Medizin 2022: 114 - [c2]Beatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel:
The effect of dataset confounding on predictions of deep neural networks for medical imaging. NLDL 2022 - 2021
- [j2]Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Andreas Dominik Husch:
Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem. Medical Image Anal. 74: 102225 (2021) - [c1]Beatriz Garcia Santa Cruz, Carlos Vega, Frank Hertel:
The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions. CIBB 2021: 200-216 - 2020
- [i1]Beatriz Garcia Santa Cruz, Jan Sölter, Matías Nicolás Bossa, Andreas Dominik Husch:
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. CoRR abs/2008.11572 (2020)
2010 – 2019
- 2019
- [j1]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, Stefanía Magnúsdóttir, Dmitry A. Ravcheev, Swagatika Sahoo, Piotr Gawron, Lucia Friscioni, Beatriz Garcia Santa Cruz, Mabel Prendergast, Alberto Puente, Mariana Rodrigues, Akansha Roy, Mouss Rouquaya, Luca Wiltgen, Alise Zagare, Elisabeth John, Maren Krueger, Inna Kuperstein, Andrei Yu. Zinovyev, Reinhard Schneider, Ronan M. T. Fleming, Ines Thiele:
The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease. Nucleic Acids Res. 47(Database-Issue): D614-D624 (2019)
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