{"id":2008,"date":"2026-02-13T08:41:11","date_gmt":"2026-02-13T08:41:11","guid":{"rendered":"https:\/\/masterib.es\/?p=2008"},"modified":"2026-02-13T08:41:13","modified_gmt":"2026-02-13T08:41:13","slug":"2026-02-18-14h-automatizando-la-estimacion-de-la-fraccion-de-eyeccion-mediante-aprendizaje-profundo-xabier-zubizarreta","status":"publish","type":"post","link":"https:\/\/masterib.es\/en\/2026-02-18-14h-automatizando-la-estimacion-de-la-fraccion-de-eyeccion-mediante-aprendizaje-profundo-xabier-zubizarreta\/","title":{"rendered":"2026\/02\/18 14h &#8211; Automatizando la estimaci\u00f3n de la fracci\u00f3n de eyecci\u00f3n mediante aprendizaje profundo &#8211; Xabier Zubizarreta"},"content":{"rendered":"<div id=\"pl-gb2008-69e40f8e2f572\"  class=\"panel-layout wp-block-siteorigin-panels-layout-block\" ><div id=\"pg-gb2008-69e40f8e2f572-0\"  class=\"panel-grid panel-has-style\" ><div class=\"panel-row-style panel-row-style-for-gb2008-69e40f8e2f572-0\" ><div id=\"pgc-gb2008-69e40f8e2f572-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-gb2008-69e40f8e2f572-0-0-0\" class=\"so-panel widget_sow-image panel-first-child panel-last-child\" data-index=\"0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-image so-widget-sow-image-default-8b5b6f678277-2008\"\n\t\t\t\n\t\t>\n<div class=\"sow-image-container\">\n\t\t<img \n\tsrc=\"https:\/\/masterib.es\/wp-content\/uploads\/2026\/02\/Xabier-Zubizarreta.jpg\" width=\"398\" height=\"398\" srcset=\"https:\/\/masterib.es\/wp-content\/uploads\/2026\/02\/Xabier-Zubizarreta.jpg 398w, https:\/\/masterib.es\/wp-content\/uploads\/2026\/02\/Xabier-Zubizarreta-300x300.jpg 300w, https:\/\/masterib.es\/wp-content\/uploads\/2026\/02\/Xabier-Zubizarreta-150x150.jpg 150w, https:\/\/masterib.es\/wp-content\/uploads\/2026\/02\/Xabier-Zubizarreta-12x12.jpg 12w\" sizes=\"(max-width: 398px) 100vw, 398px\" title=\"Xabier Zubizarreta\" alt=\"\" \t\tclass=\"so-widget-image\"\/>\n\t<\/div>\n\n<\/div><\/div><\/div><div id=\"pgc-gb2008-69e40f8e2f572-0-1\"  class=\"panel-grid-cell\" ><div id=\"panel-gb2008-69e40f8e2f572-0-1-0\" class=\"so-panel widget_sow-editor panel-first-child\" data-index=\"1\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<h3>Xabier Zubizarreta<\/h3>\n<h3>Investigador Postdoctoral INMA<\/h3>\n<p>Fecha:18<strong>-02-2026<\/strong><\/p>\n<p>Hora: <strong>14.00 &#8211; 15.00\u00a0\u00a0<\/strong><\/p>\n<p>Lugar: <strong>Aula A.06 del edificio Ada Byron<\/strong><\/p>\n<\/div>\n<\/div><\/div><div id=\"panel-gb2008-69e40f8e2f572-0-1-1\" class=\"so-panel widget_sow-button panel-last-child\" data-index=\"2\" ><div class=\"panel-widget-style panel-widget-style-for-gb2008-69e40f8e2f572-0-1-1\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-button so-widget-sow-button-atom-47a1d2dbf05f-2008\"\n\t\t\t\n\t\t><div class=\"ow-button-base ow-button-align-right\"\n>\n\t\t\t<a\n\t\t\t\t\thref=\"https:\/\/moodle.unizar.es\/add\/mod\/assign\/view.php?id=2256495\"\n\t\t\t\t\tclass=\"sowb-button ow-icon-placement-left ow-button-hover\" target=\"_blank\" rel=\"noopener noreferrer\" \t>\n\t\t<span>\n\t\t\t\n\t\t\tEnlace a Moodle\t\t<\/span>\n\t\t\t<\/a>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><div id=\"pg-gb2008-69e40f8e2f572-1\"  class=\"panel-grid panel-has-style\" ><div class=\"panel-row-style panel-row-style-for-gb2008-69e40f8e2f572-1\" ><div id=\"pgc-gb2008-69e40f8e2f572-1-0\"  class=\"panel-grid-cell\" ><div id=\"panel-gb2008-69e40f8e2f572-1-0-0\" class=\"so-panel widget_sow-editor panel-first-child\" data-index=\"3\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<h4>Abstract<\/h4>\n<p>The world is becoming unprecedentedly connected thanks to emerging media and cloud-based technologies. The holy grail of metaverse requires recreating a remotely shared world as a digital twin of the physical planet. In this world, the human is probably the most complex mechanical, physical, and biological system. Unlike computers, it is remarkably challenging to model and engineer how humans perceive and react in a virtual environment. By leveraging computational advancements such as machine learning and biometric sensors, this talk will share some recent research on altering and optimizing the human visual and behavioral perception toward creating the ultimate metaverse.<\/p>\n<\/div>\n<\/div><\/div><div id=\"panel-gb2008-69e40f8e2f572-1-0-1\" class=\"so-panel widget_sow-editor panel-last-child\" data-index=\"4\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<h4>Bio<\/h4>\n<p>Qi Sun is an assistant professor at New York University, Tandon School of Engineering (joint with Dept. of Computer Science and Engineering and Center for Urban Science and Progress). Before joining NYU, he was a research scientist at Adobe Research and a research intern at NVIDIA Research. He received his Ph.D. at Stony Brook University. His research interests lie in computer graphics, VR\/AR, vision science, machine learning, and human-computer interaction. He is a recipient of the IEEE Virtual Reality Best Dissertation Award.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Xabier Zubizarreta Investigador Postdoctoral INMA Fecha:18-02-2026 Hora: 14.00 &#8211; 15.00\u00a0\u00a0 Lugar: Aula A.06 del edificio Ada Byron Abstract The world is becoming unprecedentedly connected thanks to emerging media and cloud-based technologies. The holy grail of metaverse requires recreating a remotely shared world as a digital twin of the physical planet. In this world, the human &#8230; <a title=\"2026\/02\/18 14h &#8211; Automatizando la estimaci\u00f3n de la fracci\u00f3n de eyecci\u00f3n mediante aprendizaje profundo &#8211; Xabier Zubizarreta\" class=\"read-more\" href=\"https:\/\/masterib.es\/en\/2026-02-18-14h-automatizando-la-estimacion-de-la-fraccion-de-eyeccion-mediante-aprendizaje-profundo-xabier-zubizarreta\/\" aria-label=\"Read more about 2026\/02\/18 14h &#8211; Automatizando la estimaci\u00f3n de la fracci\u00f3n de eyecci\u00f3n mediante aprendizaje profundo &#8211; Xabier Zubizarreta\">Read more<\/a><\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[22,4],"tags":[],"class_list":["post-2008","post","type-post","status-publish","format-standard","hentry","category-curso-2025-26-primavera-bimestre-1","category-seminarios"],"_links":{"self":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts\/2008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/comments?post=2008"}],"version-history":[{"count":3,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts\/2008\/revisions"}],"predecessor-version":[{"id":2012,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts\/2008\/revisions\/2012"}],"wp:attachment":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/media?parent=2008"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/categories?post=2008"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/tags?post=2008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}