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Beatriz García Santa Cruz
Beatriz García Santa Cruz
Verified email at ext.uni.lu
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Cited by
Cited by
Year
The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease
A Noronha, J Modamio, Y Jarosz, E Guerard, N Sompairac, G Preciat, ...
Nucleic acids research 47 (D1), D614-D624, 2019
3482019
Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem
BG Santa Cruz, MN Bossa, J Sölter, AD Husch
Medical image analysis 74, 102225, 2021
952021
Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions
B Garcia Santa Cruz, A Husch, F Hertel
Frontiers in Aging Neuroscience 15, 1216163, 2023
162023
On the composition and limitations of publicly available covid-19 x-ray imaging datasets
BGS Cruz, J Sölter, MN Bossa, AD Husch
arXiv preprint arXiv:2008.11572, 2020
102020
The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions
BG Santa Cruz, C Vega, F Hertel
Proceedings of CIBB, 1, 2021
7*2021
Generalising from conventional pipelines using deep learning in high-throughput screening workflows
B Garcia Santa Cruz, J Slter, G Gomez-Giro, C Saraiva, S Sabate-Soler, ...
Scientific Reports 12 (1), 11465, 2022
32022
The importance of dataset choice lessons learned from COVID-19 X-ray imaging models
BGS Cruz, MN Bossa, J Soelter, F Hertel, A Husch
Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022
12022
Biomedical Image Analysis using Deep Learning: Towards Clinically Applicable Models.
B GARCIA SANTA CRUZ
Unilu-University of Luxembourg [Faculty of Science, Technology and Medicine …, 2023
2023
Design of an experimental platform of gait analysis with ActiSense and StereoPi
A Leer, B Garcia Santa Cruz, F Hertel, KP Koch, RP Bremm
Current Directions in Biomedical Engineering 8 (2), 572-575, 2022
2022
The effect of dataset confounding on predictions of deep neural networks for medical imaging
B Garcia Santa Cruz, A Husch, F Hertel
Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022, 8, 2022
2022
Towards Generalizable Machine Learning for Chest X-ray Diagnosis with Multi-task learning
S Ghamizi, B Garcia Santa Cruz, P Temple, M Cordy, G Perrouin, ...
2022
Leveraging state-of-the-art architectures by enriching training information-a case study
J Sölter, D Proverbio, M Baniasadi, MN Bossa, V Vlasov, ...
COVID 19-20 Lung CT Lesion Segmentation Grand Challenge Mini-symposium, 2021
2021
Model bias and its impact on computer-aided diagnosis: A data-centric approach
B Garcia Santa Cruz, MN Bossa, J Sölter, A Husch, F Hertel
2021
Automatic Detection of Nigrosome Degeneration in Susceptibility-Weighted MRI for Computer-Aided Diagnosis of Parkinson’s Disease Using Machine Learning
B Garcia Santa Cruz, A Husch, F Hertel
Movement Disorders, 2020
2020
From tech to bench: Deep Learning pipeline for image segmentation of high-throughput high-content microscopy data
B Garcia Santa Cruz, J Jarazo, C Saraiva, G Gomez Giro, ...
Advances in Computational Biology, 2019
2019
Deep Learning Quality Control for High-Throughput High-Content Screening Microscopy Images
B Garcia Santa Cruz, J Jarazo, JC Schwamborn, F Hertel, A Husch
EMBO| EMBL Symposia-Seeing is Believing-Imaging the Molecular Processes of Life, 2019
2019
Automated analysis of high-throughput screening high-content microscopy data with deep learning
B Garcia Santa Cruz
Unilu-University of Luxembourg, Luxembourg, 2019
2019
Leveraging Client-side Computation for Biomedical Machine Learning Inference with Open Neural Network Exchange
C Vega, BG Santa Cruz, F Hertel, V Satagopam
Northern Lights Deep Learning Conference Abstracts 2024, 0
MitoMap, a multi-layered mitochondrial map compiling several levels of molecular interaction
J Modamio, A Zâgare, N Sompairac, A Danielsdottir, L Wiltgen, M Krecke, ...
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