Prof. dr. ir. C.I. (Clarisa) Sánchez Gutiérrez

Faculteit der Natuurwetenschappen, Wiskunde en Informatica

Informatics Institute

Bezoekadres

Science Park 900
Kamernummer: L4.29

Postadres

Postbus 94323
1090 GH Amsterdam

Contactgegevens

c.i.sanchezgutierrez@uva.nl

Publicaties
2025

Noteboom, S. H., Kho, E., Galanty, M., Sánchez, C. I., ten Bookum, F. C. P., Veelo, D. P., Vlaar, A. P. J., & van der Ster, B. J. P. (2025). From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision support. eBioMedicine, 111, 105529. https://doi.org/10.1016/j.ebiom.2024.105529

2024

De Vente, C., Valmaggia, P., Hoyng, C. B., Holz, F. G., Islam, M. M., Klaver, C. C. W., Boon, C. J. F., Schmitz-Valckenberg, S., Tufail, A., Saßmannshausen, M., & Sánchez, C. I. (2024). Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report: Translational Vision Science & Technology. Translational vision science & technology, 13(9). https://doi.org/10.1167/tvst.13.9.11

Galanty, M., Luitse, D., Noteboom, S. H., Croon, P., Vlaar, A. P., Poell, T., Sánchez Gutiérrez, C. I., Blanke, T., & Išgum, I. (2024). Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool. Scientific Reports, 14, Article 31846. https://doi.org/10.1038/s41598-024-83218-5 [details]
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Assessing the documentation of publicly available medical image and signal datasets
Supplementary files
Supplementary Material

Magg, C., ter Wee, M. A., Buijs, G. S., Kievit, A. J., Krap, D. A., Dobbe, J. G. G., Streekstra, G. J., Blankevoort, L., & Sánchez, C. I. (2024). Towards automation in non-invasive measurement of knee implant displacement. In S. M. Astley, & W. Chen (Eds.), Medical Imaging 2024: Computer-Aided Diagnosis Article 129270R (Proceedings of the SPIE; Vol. 12927). SPIE. https://doi.org/10.1117/12.3008090

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., Riegler, M. A., Wiesenfarth, M., Kavur, A. E., Sudre, C. H., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Rädsch, T., ... Jäger, P. F. (2024). Metrics reloaded: recommendations for image analysis validation. Nature Methods, 21(2), 195–212. https://doi.org/10.1038/s41592-023-02151-z

Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M. J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B. A., ... Maier-Hein, L. (2024). Understanding metric-related pitfalls in image analysis validation. Nature Methods, 21(2), 182–194. https://doi.org/10.1038/s41592-023-02150-0

Sogancioglu, E., Ginneken, B. V., Behrendt, F., Bengs, M., Schlaefer, A., Radu, M., Xu, D., Sheng, K., Scalzo, F., Marcus, E., Papa, S., Teuwen, J., Scholten, E. T., Schalekamp, S., Hendrix, N., Jacobs, C., Hendrix, W., Sánchez, C. I., & Murphy, K. (2024). Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Transactions on Medical Imaging, 43(8), 2839–2853. https://doi.org/10.1109/tmi.2024.3382042

Yiasemis, G., Sánchez, C. I., Sonke, J.-J., & Teuwen, J. (2024). On retrospective k-space subsampling schemes for deep MRI reconstruction. Magnetic resonance imaging, 107, 33–46. https://doi.org/10.1016/j.mri.2023.12.012

de Vente, C., van Ginneken, B., Hoyng, C. B., Klaver, C. C. W., & SÃ¡nchez, C. I. (2024). Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography. Medical Image Analysis, 97, 103259. https://doi.org/10.1016/j.media.2024.103259

Álvarez-Rodríguez, L., Prego, I. G., de Moura, J., Pueyo, A., Vilades, E., Garcia-Martin, E., Sánchez, C. I., Novo, J., & Ortega, M. (2024). 3D Point Cloud Analysis via Transformer-Based Graph Learning for Multiple Sclerosis Screening in OCT Images. Procedia Computer Science, 246, 1080–1089. https://doi.org/10.1016/j.procs.2024.09.527

2022

González-Gonzalo, C., Thee, E. F., Klaver, C. C. W., Lee, A. Y., Schlingemann, R. O., Tufail, A., Verbraak, F., & Sánchez, C. I. (2022). Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice. Progress in Retinal and Eye Research, 90, Article 101034. Advance online publication. https://doi.org/10.1016/j.preteyeres.2021.101034 [details]
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2021

Bortsova, G., González-Gonzalo, C., Wetstein, S. C., Dubost, F., Katramados, I., Hogeweg, L., Liefers, B., van Ginneken, B., Pluim, J. P. W., Veta, M., Sánchez, C. I., & de Bruijne, M. (2021). Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Analysis, 73, Article 102141. Advance online publication. https://doi.org/10.1016/j.media.2021.102141 [details]
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1-s2.0-S1361841521001870-main
Supplementary files
1-s2.0-S1361841521001870-mmc1

2020

González-Gonzalo, C., Liefers, B., van Ginneken, B., & Sánchez, C. I. (2020). Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images. IEEE Transactions on Medical Imaging, 39(11), 3499-3511. Advance online publication. https://doi.org/10.1109/TMI.2020.2994463 [details]
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2025

de Vente, C. W. (2025). Towards robust deep learning for medical imaging: Applications in ophthalmology and radiology. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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2024

Płotka, S. S. (2024). Enhancing prenatal care through deep learning. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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Thesis (complete)
Front matter
1: Introduction
2: Deep learning matches human observers in fetal ultrasound biometric measurements
3: Fetal birth weight prediction on fetal ultrasound video scans
4: Fetal birth weight prediction on fetal multimodal data
5: Estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound
6: Real-time placental vessel segmentation in fetoscopic laser surgery for twin-to-twin transfusion syndrome
7: Discussion
Bibliography; Summary; Samenvatting; Complete list of publications; Biography; Acknowledgements
2022

de Vente, C. & Sá‎nchez, C. I. (2022). Rotterdam EyePACS AIROGS Lite development set. Zenodo. https://doi.org/10.5281/zenodo.7056954

de Vente, C. & Sá‎nchez, C. I. (2022). Rotterdam EyePACS AIROGS Lite development and test set. Zenodo. https://doi.org/10.5281/zenodo.7178671

2021

de Vente, C., Vermeer, K. A., Jaccard, N., van Ginneken, B., Lemij, H. G. & Sá‎nchez, C. I. (2021). Rotterdam EyePACS AIROGS train set - Part 2/2. Zenodo. https://doi.org/10.5281/zenodo.5745834

de Vente, C., Vermeer, K. A., Jaccard, N., van Ginneken, B., Lemij, H. G. & Sá‎nchez, C. I. (2021). Rotterdam EyePACS AIROGS train set. Zenodo. https://doi.org/10.5281/zenodo.5793241
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Prof. dr. ir. C.I. (Clarisa) Sánchez Gutiérrez

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