| 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 | 308 | 2019 |
| 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 | 84 | 2021 |
| 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 | 10 | 2020 |
| 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 | 7 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| 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, 2023 | | 2023 |
| 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, ... | | 2021 |
| Public Covid-19 X-ray datasets and their impact on model bias-a systematic review of a significant problem (preprint) BG Santa Cruz, MN Bossa, J Sölter, AD Husch | | 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 | | 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 |
| MitoMap, a multi-layered mitochondrial map compiling several levels of molecular interaction J Modamio, A Zâgare, N Sompairac, A Danielsdottir, L Wiltgen, M Krecke, ... | | |
