{"id":249,"date":"2024-02-06T14:10:58","date_gmt":"2024-02-06T13:10:58","guid":{"rendered":"https:\/\/medimint.unibs.it\/?p=249"},"modified":"2024-02-06T16:19:51","modified_gmt":"2024-02-06T15:19:51","slug":"chest-x-ray-analysis","status":"publish","type":"post","link":"https:\/\/medimint.unibs.it\/index.php\/2024\/02\/06\/chest-x-ray-analysis\/","title":{"rendered":"Chest X-Ray analysis"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"249\" class=\"elementor elementor-249\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a611d93 e-con-full e-flex e-con e-parent\" data-id=\"4a611d93\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6ba4028c elementor-widget elementor-widget-text-editor\" data-id=\"6ba4028c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 05-02-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<!-- wp:paragraph -->\n<p>\u00a0<\/p>\n<p>Unveiling the Lungs through Deep Learning: A Peek into Chest X-ray Analysis Projects<\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p>These projects highlight the multifaceted applications of deep learning in chest X-ray analysis, offering promising advancements in various areas of healthcare.<\/p>\n<!-- \/wp:paragraph --><!-- wp:media-text -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\">\n<figure class=\"wp-block-media-text__media\"><\/figure>\n<div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S136184152100092X\">BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset<\/a><\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p>Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina<\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p><em>Publication date: 2021\/7\/1<br \/>Journal: Medical Image Analysis<\/em><\/p>\n<!-- \/wp:paragraph --><\/div>\n<\/div>\n<!-- \/wp:media-text --><!-- wp:media-text -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\">\n<figure class=\"wp-block-media-text__media\"><\/figure>\n<div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/academic.oup.com\/eurheartj\/article-abstract\/43\/Supplement_2\/ehac544.1186\/6744384\">Deep learning to detect significant coronary artery disease from plain chest radiographs<\/a><\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p>G D&#8217;Ancona, M Massussi, M Savardi, A Signoroni, L Di Bacco, D Farina, M Metra, R Maroldi, C Muneretto, H Ince, F Marinoni, G Chizzola, S Curello, S Benussi<\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p><em>Publication date: 2023\/1\/1<br \/>Journal: International Journal of Cardiology<\/em><\/p>\n<!-- \/wp:paragraph --><\/div>\n<\/div>\n<!-- \/wp:media-text --><!-- wp:media-text -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\">\n<figure class=\"wp-block-media-text__media\"><\/figure>\n<div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9845195\/\">Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients<\/a><\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p>Mattia Savardi, Alberto Signoroni, Roberto V Zicari, et Al.<\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p><em>Publication date: 2022\/7\/29<br \/>Journal: IEEE transactions on technology and society<\/em><\/p>\n<!-- \/wp:paragraph --><\/div>\n<\/div>\n<!-- \/wp:media-text --><!-- wp:media-text -->\n<div class=\"wp-block-media-text is-stacked-on-mobile\">\n<figure class=\"wp-block-media-text__media\"><\/figure>\n<div class=\"wp-block-media-text__content\"><!-- wp:paragraph -->\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167527322016655\">Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD<\/a><\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p>Giuseppe D&#8217;Ancona, Mauro Massussi, Mattia Savardi, Alberto Signoroni, Lorenzo Di Bacco, Davide Farina, Marco Metra, Roberto Maroldi, Claudio Muneretto, H\u00fcseyin Ince, Davide Costabile, Monica Murero, Giuliano Chizzola, Salvatore Curello, Stefano Benussi<\/p>\n<!-- \/wp:paragraph --><!-- wp:paragraph -->\n<p><em>Publication date: 2023\/1\/1<\/em><br \/><em>Journal: International Journal of Cardiolog<\/em>y<\/p>\n<!-- \/wp:paragraph --><\/div>\n<\/div>\n<!-- \/wp:media-text -->\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u00a0 Unveiling the Lungs through Deep Learning: A Peek into Chest X-ray Analysis Projects These projects highlight the multifaceted applications of deep learning in chest X-ray analysis, offering promising advancements in various areas of healthcare. BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":250,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-249","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects"],"_links":{"self":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/posts\/249","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/comments?post=249"}],"version-history":[{"count":7,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/posts\/249\/revisions"}],"predecessor-version":[{"id":314,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/posts\/249\/revisions\/314"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/media\/250"}],"wp:attachment":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/media?parent=249"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/categories?post=249"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/tags?post=249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}