2026-04-14T03:33:15Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2194422025-12-05T09:43:11Zcom_2072_1057col_2072_478778col_2072_478917

Landmark anything: multi-view consensus convolutional networks applied to the 3D landmarking of Anatomical Structures Heredia Lidón, Álvaro García Mascarel, Christian Echeverry, Luis Miguel Herrera Escartín, Daniel Fortea Ormaechea, Juan Pomarol-Clotet, Edith Fatjó-Vilas Mestre, Mar Martínez Abadías, Neus, 1978- Sevillano, Xavier Intel·ligència artificial Marcadors bioquímics Artificial intelligence Biochemical markers As shape alterations in three-dimensional biological structures are as- sociated to numerous pathological processes, quantitative shape analysis for obtaining phenotypic biomarkers of diagnostic potential has become a prominent research area. In this context, the automatic detection of landmarks on 3D anatomical structures is crucial for developing high-throughput phenotyping tools. This study evaluates the performance of multi-view consensus convolutional networks -originally developed for facial landmarking– in automatically detecting landmarks on three different 3D anatomical structures: the face, the upper respiratory airways and the brain hippocampi. Leveraging magnetic resonance imaging datasets, we trained multiple models and assessed their accuracy against manual annotations, while analyzing the impact of different network hyperparameters on the results. 2025-03-04T15:23:11Z 2025-03-04T15:23:11Z 2024 info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion https://hdl.handle.net/2445/219442 eng Reproducció del document publicat a: https://doi.org/10.3233/FAIA240438 Capítol del llibre: Alsinet, Teresa, Vilasís, Xavier , García, Daniel, Álvarez, Elena (eds.), Proceedings of the 26th International Conference of the Catalan Association for Artificial Intelligence, IOS Press, 2024, [ISBN 9781643685434], pp. 209-212 https://doi.org/10.3233/FAIA240438 cc by-nc (c) Heredia Lidón, Álvaro et al, 2024 http://creativecommons.org/licenses/by-nc/3.0/es/ info:eu-repo/semantics/openAccess 4 p. application/pdf IOS Press Llibres / Capítols de llibre (Biologia Evolutiva, Ecologia i Ciències Ambientals)