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Profil

GARCIA SANTA CRUZ Beatriz

University of Luxembourg

Main Referenced Co-authors
HUSCH, Andreas  (10)
HERTEL, Frank  (9)
BOSSA, Matias Nicolas  (4)
JARAZO, Javier  (3)
SCHWAMBORN, Jens Christian  (3)
Main Referenced Keywords
Deep Learning (3); COVID-19 (2); Machine Learning (2); machine learning (2); Applied Artificial Intelligence (1);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Interventional Neuroscience (Hertel Group) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Interventional Neuroscience (Hertel Group), Developmental and Cellular Biology (Schwamborn Group) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Systems Control (Goncalves Group) (1)
Main Referenced Disciplines
Engineering, computing & technology: Multidisciplinary, general & others (6)
Life sciences: Multidisciplinary, general & others (6)
Computer science (5)
Human health sciences: Multidisciplinary, general & others (2)
Biotechnology (2)

Publications (total 15)

The most downloaded
403 downloads
Garcia Santa Cruz, B., Bossa, M. N., Sölter, J., & Husch, A. (December 2021). Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem. Medical Image Analysis, 74. doi:10.1016/j.media.2021.102225 https://hdl.handle.net/10993/46439

The most cited

213 citations (Scopus®)

Noronha, A., Modamio Chamarro, J., Jarosz, Y., Guerard, E., Sompairac, N., Preciat Gonzalez, G. A., Danielsdottir, A. D., Krecke, M., Merten, D., Haraldsdottir, H., Heinken, A. K., Heirendt, L., Magnusdottir, S., Ravcheev, D., Sahoo, S., Gawron, P., Friscioni, L., Garcia Santa Cruz, B., Prendergast, M., ... Thiele, I. (2018). The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease. Nucleic Acids Research. doi:10.1093/nar/gky992 https://hdl.handle.net/10993/37074

GARCIA SANTA CRUZ, B. (2023). Biomedical Image Analysis using Deep Learning: Towards Clinically Applicable Models [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58331

Garcia Santa Cruz, B., Husch, A., & Hertel, F. (2023). Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions. Frontiers in Aging Neuroscience, 15. doi:10.3389/fnagi.2023.1216163
Peer reviewed

Garcia Santa Cruz, B., Sölter, J., Gomez Giro, G., Saraiva, C., Sabaté Soler, S., Modamio Chamarro, J., Barmpa, K., Schwamborn, J. C., Hertel, F., Jarazo, J., & Husch, A. (2022). Generalising from conventional pipelines using deep learning in high‑throughput screening workfows. Scientific Reports. doi:10.1038/s41598-022-15623-7
Peer Reviewed verified by ORBi

Garcia Santa Cruz, B., Husch, A., & Hertel, F. (2022). The effect of dataset confounding on predictions of deep neural networks for medical imaging. In Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022 (pp. 8). doi:10.7557/18.6302
Peer reviewed

Garcia Santa Cruz, B., Bossa, M. N., Soelter, J., Hertel, F., & Husch, A. (2022). Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. In Bildverarbeitung für die Medizin 2022. Informatik aktuell. Springer Vieweg, Wiesbaden (pp. 114). doi:10.1007/978-3-658-36932-3_24
Peer reviewed

Ghamizi, S., Garcia Santa Cruz, B., Temple, P., Cordy, M., Perrouin, G., Papadakis, M., & Le Traon, Y. (2022). Towards Generalizable Machine Learning for Chest X-ray Diagnosis with Multi-task learning. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50815.

Garcia Santa Cruz, B., Bossa, M. N., Sölter, J., & Husch, A. (December 2021). Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem. Medical Image Analysis, 74. doi:10.1016/j.media.2021.102225
Peer Reviewed verified by ORBi

Garcia Santa Cruz, B., Vega Moreno, C. G., & Hertel, F. (16 November 2021). The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions [Paper presentation]. Computational Intelligence Methods for Bioinformatics and Biostatistics 2021. doi:10.5281/zenodo.5729350

Garcia Santa Cruz, B., Bossa, M. N., Sölter, J., Husch, A., & Hertel, F. (August 2021). Model bias and its impact on computer-aided diagnosis: A data-centric approach [Poster presentation]. 2021 MLSS. doi:10.5281/zenodo.5205671

Garcia Santa Cruz, B., Husch, A., & Hertel, F. (2020). Automatic Detection of Nigrosome Degeneration in Susceptibility-Weighted MRI for Computer-Aided Diagnosis of Parkinson’s Disease Using Machine Learning. Movement Disorders. doi:10.1002/mds.28267
Peer reviewed

Garcia Santa Cruz, B., Sölter, J., Bossa, M. N., & Husch, A. (2020). On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. (1). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/44138.

Garcia Santa Cruz, B., Jarazo, J., Saraiva, C., Gomez Giro, G., Modamio Chamarro, J., Sabaté Soler, S., Kyriaki, B., Antony, P., Schwamborn, J. C., Hertel, F., & Husch, A. (29 November 2019). From tech to bench: Deep Learning pipeline for image segmentation of high-throughput high-content microscopy data [Poster presentation]. Advances in Computational Biology, Barcelona, Spain.

Garcia Santa Cruz, B., Jarazo, J., Schwamborn, J. C., Hertel, F., & Husch, A. (10 October 2019). Deep Learning Quality Control for High-Throughput High-Content Screening Microscopy Images [Poster presentation]. EMBO|EMBL Symposia - Seeing is Believing - Imaging the Molecular Processes of Life, Heidelberg, Germany.

Garcia Santa Cruz, B. (2019). Automated analysis of high-throughput screening high-content microscopy data with deep learning [Bachelor/master dissertation, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/47877

Noronha, A., Modamio Chamarro, J., Jarosz, Y., Guerard, E., Sompairac, N., Preciat Gonzalez, G. A., Danielsdottir, A. D., Krecke, M., Merten, D., Haraldsdottir, H., Heinken, A. K., Heirendt, L., Magnusdottir, S., Ravcheev, D., Sahoo, S., Gawron, P., Friscioni, L., Garcia Santa Cruz, B., Prendergast, M., ... Thiele, I. (2018). The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease. Nucleic Acids Research. doi:10.1093/nar/gky992
Peer Reviewed verified by ORBi

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