{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T04:20:23Z","timestamp":1727756423150},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685434","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T00:00:00Z","timestamp":1727222400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,25]]},"abstract":"<jats:p>As shape alterations in three-dimensional biological structures are associated 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 \u2013 originally developed for facial landmarking\u2013 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.<\/jats:p>","DOI":"10.3233\/faia240438","type":"book-chapter","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:37Z","timestamp":1727689717000},"source":"Crossref","is-referenced-by-count":0,"title":["Landmark Anything: Multi-View Consensus Convolutional Networks Applied to the 3D Landmarking of Anatomical Structures"],"prefix":"10.3233","author":[{"given":"\u00c1lvaro","family":"Heredia-Lid\u00f3n","sequence":"first","affiliation":[{"name":"HER - Human-Environment Research Group, La Salle - Universitat Ramon Llull, Barcelona, Spain"}]},{"given":"Christian","family":"Garc\u00eda-Mascarell","sequence":"additional","affiliation":[{"name":"HER - Human-Environment Research Group, La Salle - Universitat Ramon Llull, Barcelona, Spain"}]},{"given":"Luis Miguel","family":"Echeverry-Quiceno","sequence":"additional","affiliation":[{"name":"Departament de Biologia Evolutiva, Ecologia i Ci\u00e8ncies Ambientals (BEECA). Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain"}]},{"given":"Daniel","family":"Herrera-Escart\u00edn","sequence":"additional","affiliation":[{"name":"Departament de Biologia Evolutiva, Ecologia i Ci\u00e8ncies Ambientals (BEECA). Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain"}]},{"given":"Juan","family":"Fortea","sequence":"additional","affiliation":[{"name":"Sant Pau Memory Unit, Hospital de Sant Pau i la Santa Creu, Barcelona, Spain"}]},{"given":"Edith","family":"Pomarol-Clotet","sequence":"additional","affiliation":[{"name":"FIDMAG, Sisters Hospitallers Research Foundation, Barcelona, Spain"},{"name":"CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain"}]},{"given":"Mar","family":"Fatj\u00f3-Vilas","sequence":"additional","affiliation":[{"name":"FIDMAG, Sisters Hospitallers Research Foundation, Barcelona, Spain"},{"name":"CIBERSAM (Biomedical Research Network in Mental Health, Instituto de Salud Carlos III), Madrid, Spain"}]},{"given":"Neus","family":"Mart\u00ednez-Abad\u00edas","sequence":"additional","affiliation":[{"name":"Departament de Biologia Evolutiva, Ecologia i Ci\u00e8ncies Ambientals (BEECA). Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain"}]},{"given":"Xavier","family":"Sevillano","sequence":"additional","affiliation":[{"name":"HER - Human-Environment Research Group, La Salle - Universitat Ramon Llull, Barcelona, Spain"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:38Z","timestamp":1727689718000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240438"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,25]]},"ISBN":["9781643685434"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240438","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,25]]}}}