171614 20260527123126.0 doi 10.1109/IJCNN64981.2025.11229335 sideral 149394 ART-2025-149394 eng Álvarez-Rodríguez, Lorena Geometric Deep Learning for Essential Tremor Screening Using OCT-Derived 3D Point Clouds 2025 Essential tremor (ET) is a prevalent movement disorder characterized by motor and non-motor symptoms, often associated with neurodegeneration. Optical coherence tomography (OCT) has emerged as a valuable tool to identify retinal biomarkers in ET patients. This study presents a novel methodology for ET detection using 3D point clouds derived from retinal OCT layers. Leveraging advanced geometric deep learning (GDL) architectures, including PointTransformer, PointCNN, PointNet++ and SplineCNN, we evaluated the diagnostic potential of individual retinal layers, including the Retinal Nerve Fiber Layer (RNFL), Ganglion Cell Layer (GCL) and Bruch’s Membrane (BM), as well as their combined representation. Our approach achieved state-of-the-art results, with PointTransformer obtaining an F1-score of 0.85 using only BM retinal surface, while requiring just 2% of the original point cloud size. These findings underscore the diagnostic value of OCT-derived 3D data and demonstrate the potential of GDL for computational biomarker extraction in neurodegenerative disorders, offering a scalable and efficient framework for ET diagnosis. info:eu-repo/grantAgreement/ES/AEI/TED2021-131201B-I00 info:eu-repo/grantAgreement/ES/DGA/B23-23R info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101189689/EU/Human-Centred Machine Learning: Lighter, Clearer, Safer/ACHILLES info:eu-repo/grantAgreement/ES/ISCIII/FORT23-00010 info:eu-repo/grantAgreement/ES/ISCIII/PI20-00437 info:eu-repo/grantAgreement/ES/ISCIII/PI23-00935 info:eu-repo/grantAgreement/ES/ISCIII/RD21-0002-0050 info:eu-repo/grantAgreement/ES/MICINN/PDC2022-133132-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2023-148913OB-I00 info:eu-repo/grantAgreement/ES/MINECO-AEI/DPI2017-01726 info:eu-repo/semantics/closedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion de Moura, Joaquim Vilades, Elisa Universidad de Zaragoza (orcid)0000-0001-9411-5834 Garcia-Martin, Elena Universidad de Zaragoza (orcid)0000-0001-6258-2489 Novo, Jorge Ortega, Marcos 1013 646 Universidad de Zaragoza Dpto. Cirugía Área Oftalmología (2025), [8 pp.] Proc. Int. Jt. Conf. Neural Netw. Proceedings of ... International Joint Conference on Neural Networks 2161-4393 1267750 http://zaguan.unizar.es/record/171614/files/texto_completo.pdf Versión publicada 3377558 http://zaguan.unizar.es/record/171614/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:171614 articulos driver 2026-05-27-11:24:57 ARTICLE