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Automatic identification of neurodegenerative diseases with 3D point cloud-based analysis using geometric deep learning in OCT retinal images
Álvarez-Rodríguez, L., Pueyo, A., de Moura, J., Prego, I. G., Vilades, E., Garcia-Martin, E., Sánchez, C. I., Novo, J. & Ortega, M., 1 Feb 2026, In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 112, 108555.Research output: Contribution to journal › Article › Academic › peer-review
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Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study
Volleberg, R. H. J. A., Luttikholt, T. J., van der Waerden, R. G. A., Cancian, P., van der Zande, J. L., Gu, X., Mol, J.-Q., Roleder, T., Prokop, M., Sánchez, C. I., van Ginneken, B., Išgum, I., Saitta, S., Thannhauser, J. & van Royen, N., 8 Dec 2025, In: European Heart journal. 46, 46, p. 5032-5041Research output: Contribution to journal › Article › Academic › peer-review
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Validation of a deep learning model for the automated detection and quantification of cystoid macular oedema on optical coherence tomography in patients with retinitis pigmentosa
Almushattat, H., Hensman, J., el Allali, Y., de Vente, C., Sánchez, C. I. & Boon, C. J. F., Nov 2025, In: Acta Ophthalmologica. 103, 7, p. e524-e531Research output: Contribution to journal › Article › Academic › peer-review
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