{"id":9959,"date":"2022-11-01T14:11:25","date_gmt":"2022-11-01T19:11:25","guid":{"rendered":"https:\/\/www.vanderbilt.edu\/vise\/?p=9959"},"modified":"2022-11-01T14:12:15","modified_gmt":"2022-11-01T19:12:15","slug":"vise-fall-seminar-herve-lombaert-phd-11-17-22","status":"publish","type":"post","link":"https:\/\/www.vanderbilt.edu\/vise\/vise-fall-seminar-herve-lombaert-phd-11-17-22\/","title":{"rendered":"VISE Fall Seminar Herv\u00e9 Lombaert, PhD 11.17.22"},"content":{"rendered":"
VISE Fall Seminar
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Date:<\/strong> Thursday, November 17, 2022 Title<\/strong>: Geometric deep learning – Examples on brain surfaces<\/p>\n Abstract:<\/strong><\/span><\/p>\n How to analyze the shapes of complex organs, such as the highly folded surface of the brain?\u00a0 This talk will show how spectral shape analysis can benefit general problems where data fundamentally lives on surfaces.\u00a0 We exploit spectral coordinates derived from the Laplacian eigenfunctions of shapes.\u00a0 Spectral coordinates have the advantage over Euclidean coordinates, to be geometry aware, invariant to isometric deformations, and to parameterize surfaces explicitly.\u00a0 This change of paradigm, from Euclidean to spectral representations, enables a classifier to be applied *directly* on surface data, via spectral coordinates.\u00a0 Brain matching and learning of surface data will be shown as examples.\u00a0 The talk will focus, first, on the spectral representations of shapes, with an example on brain surface matching; second, on the basics of geometric deep learning; and finally, on the learning of surface data, with an example on automatic brain surface parcellation.<\/span><\/p>\n Biography:<\/strong><\/span><\/p>\n Herv\u00e9 Lombaert is an Associate Professor at ETS Montreal, Canada, where he holds a Canada Research Chair in Shape Analysis in Medical Imaging. His research focuses on the statistics and analysis of shapes in the context of machine learning and medical imaging. His work on graph analysis has impacted the performance of several applications in medical imaging, from the early image segmentation techniques with graph cuts, to recent surface analysis with spectral graph theory and graph convolutional networks. Herv\u00e9 has authored over 70 papers and 5 patents. He had the chance to work in multiple centers, including Inria Sophia-Antipolis (France), Microsoft Research (Cambridge, UK), Siemens Corporate Research (Princeton, NJ), McGill University (Canada), and the University of Montreal (Canada).<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" VISE Fall Seminar to be led by Herv\u00e9 Lombaert, PhD Associate Professor Canada Research Chair in Shape Analysis in Medical Imaging ETS Montreal, Canada Date: Thursday, November 17, 2022 Time:\u00a011:45 a.m. Lunch, 12:00 p.m. start Location:\u00a0Stevenson 5326 Title: Geometric deep learning – Examples on brain surfaces Abstract: How…<\/p>\n","protected":false},"author":670,"featured_media":9960,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"_links_to":"","_links_to_target":""},"categories":[12],"tags":[],"acf":[],"jetpack_featured_media_url":"https:\/\/cdn.vanderbilt.edu\/vu-URL\/wp-content\/uploads\/sites\/193\/2022\/11\/19203126\/Herve-Lombaert-2022.png","jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p98pzF-2AD","_links":{"self":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/9959"}],"collection":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/users\/670"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/comments?post=9959"}],"version-history":[{"count":2,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/9959\/revisions"}],"predecessor-version":[{"id":9962,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/9959\/revisions\/9962"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/media\/9960"}],"wp:attachment":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/media?parent=9959"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/categories?post=9959"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/tags?post=9959"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nTime:\u00a0<\/strong>11:45 a.m. Lunch, 12:00 p.m. start
\nLocation:<\/strong>\u00a0Stevenson 5326<\/p>\n