{"id":1332,"date":"2022-03-31T17:51:50","date_gmt":"2022-03-31T15:51:50","guid":{"rendered":"https:\/\/portale.unime.it\/modelloricerca\/?p=1332"},"modified":"2025-10-13T23:37:32","modified_gmt":"2025-10-13T21:37:32","slug":"notizia-3-2","status":"publish","type":"post","link":"https:\/\/portale2.unime.it\/ai-healthlab\/notizia-3-2\/","title":{"rendered":"Ri-Identificazione di MRI Cerebrali"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1332\" class=\"elementor elementor-1332\">\n\t\t\t\t<div class=\"elementor-element elementor-element-584050f0 e-flex e-con-boxed e-con e-parent\" data-id=\"584050f0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3aec96c3 elementor-widget elementor-widget-text-editor\" data-id=\"3aec96c3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\tDeepBrainPrint \u00e8 un framework di deep learning contrastivo per la ri-identificazione di soggetti tramite MRI cerebrali, accettato alla conferenza <b>Medical Imaging with Deep Learning (MIDL) 2023<\/b>. Nel panorama del brain fingerprinting, DeepBrainPrint rappresenta il primo approccio semi-auto-supervisionato, capace di estrarre una \u201cimpronta numerica\u201d dalla morfologia cerebrale che consente il recupero efficace di tutte le scansioni relative allo stesso soggetto da grandi dataset di imaging medico.\n\n&nbsp;\n\n<strong>Motivazioni &amp; Obiettivi<\/strong>\n<ul>\n \t<li>Consentire la ri-identificazione automatica di pazienti (brain re-identification) all\u2019interno di database di MRI sempre pi\u00f9 estesi, semplificando la gestione longitudinale delle acquisizioni cliniche.<\/li>\n \t<li>Migliorare la robustezza dell\u2019identificazione, superando le limitazioni dei metodi precedenti in presenza di variazioni dovute ad invecchiamento, progressione di malattia, differenze di scanner e sequenza di acquisizione.<\/li>\n \t<li>Gettare le basi per <b>nuovi sistemi di retrieval morfologico<\/b>, utili anche per la ricerca di pazienti simili in ambito clinico e ricerca comparativa.<\/li>\n<\/ul>\n&nbsp;\n\n<strong>Metodi<\/strong>\n<ul>\n \t<li>Pipeline contrastiva semi-auto-supervisionata, che combina apprendimento self-supervisionato e supervisione debole per creare rappresentazioni numeriche (fingerprint) robuste della morfologia cerebrale.<\/li>\n \t<li>Innovazioni principali:\n<ul>\n \t<li>Funzione di loss adattiva per guidare meglio la convergenza del modello.<\/li>\n \t<li>Nuove trasformazioni di immagine per aumentare la robustezza rispetto a differenze di intensit\u00e0 (contrasti), aging e patologia.<\/li>\n<\/ul>\n<\/li>\n \t<li>Test estesi su T1-weighted MRI (ADNI) e dataset sintetici multimodali.<\/li>\n<\/ul>\n&nbsp;\n\n<strong>Risultati &amp; Applicazione<\/strong>\n<ul>\n \t<li>DeepBrainPrint supera tecniche di deep metric learning all\u2019avanguardia (InfoNCE, SoftTriple, SimCLR, BarlowTwins) sia in accuratezza, sia in efficienza computazionale e capacit\u00e0 di generalizzazione su soggetti diversi.<\/li>\n \t<li>Il modello si presta oltre alla ri-identificazione anche alla ricerca automatica di scansioni con caratteristiche morfologiche simili (ad es. per shape, lesioni, atrofie), utile anche tra pazienti diversi.<\/li>\n \t<li>Soluzione scalabile, pronta per essere adottata in grandi biobanche e reti sanitarie.<\/li>\n<\/ul>\n&nbsp;\n<h3><b>Articoli Scientifici Correlati<\/b><\/h3>\n<ul>\n \t<li>DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification\n<a href=\"https:\/\/arxiv.org\/abs\/2302.13057\" target=\"_blank\" rel=\"noopener\">arXiv preprint arXiv:2302.13057 (2023)<\/a> \u2013\n<a href=\"https:\/\/proceedings.mlr.press\/v227\/puglisi24a.html\" target=\"_blank\" rel=\"noopener\">MIDL Proceedings<\/a>\n<strong>Autori:<\/strong> Lemuel Puglisi, Frederik Barkhof, Daniel C. Alexander, Geoffrey JM Parker, Arman Eshaghi, Daniele Rav\u00ec<\/li>\n<\/ul>\n&nbsp;\n\n&nbsp;\n<h3><b>Team &amp; Autori<\/b><\/h3>\n<div style=\"border: 1px solid #ccc;padding: 12px\">\n<ul>\n \t<li><a href=\"https:\/\/github.com\/LemuelPuglisi\" target=\"_blank\" rel=\"noopener\">Lemuel Puglisi<\/a> (Primo autore, sviluppo metodologico)<\/li>\n \t<li><a href=\"https:\/\/github.com\/daniravi\" target=\"_blank\" rel=\"noopener\">Daniele Rav\u00ec<\/a> (Coautore, supervisione scientifica)<\/li>\n \t<li>Frederik Barkhof, Daniel C. Alexander, Geoffrey JM Parker, Arman Eshaghi (Coautori, supervisione, supporto dati)<\/li>\n<\/ul>\nAccettato a MIDL 2023.\n\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\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>DeepBrainPrint \u00e8 un framework di deep learning contrastivo per la ri-identificazione di soggetti tramite MRI cerebrali, accettato alla conferenza Medical Imaging with Deep Learning (MIDL) 2023. Nel panorama del brain fingerprinting, DeepBrainPrint rappresenta il primo approccio semi-auto-supervisionato, capace di estrarre una \u201cimpronta numerica\u201d dalla morfologia cerebrale che consente il recupero efficace di tutte le scansioni&hellip; <a class=\"more-link\" href=\"https:\/\/portale2.unime.it\/ai-healthlab\/notizia-3-2\/\">Continua a leggere <span class=\"screen-reader-text\">Ri-Identificazione di MRI Cerebrali<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":2335,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1332","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-it","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ri-Identificazione di MRI Cerebrali - AI-HealthLab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/portale2.unime.it\/ai-healthlab\/notizia-3-2\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ri-Identificazione di MRI Cerebrali - AI-HealthLab\" \/>\n<meta property=\"og:description\" content=\"DeepBrainPrint \u00e8 un framework di deep learning contrastivo per la ri-identificazione di soggetti tramite MRI cerebrali, accettato alla conferenza Medical Imaging with Deep Learning (MIDL) 2023. Nel panorama del brain fingerprinting, DeepBrainPrint rappresenta il primo approccio semi-auto-supervisionato, capace di estrarre una \u201cimpronta numerica\u201d dalla morfologia cerebrale che consente il recupero efficace di tutte le scansioni&hellip; Continua a leggere Ri-Identificazione di MRI Cerebrali\" \/>\n<meta property=\"og:url\" content=\"https:\/\/portale2.unime.it\/ai-healthlab\/notizia-3-2\/\" \/>\n<meta property=\"og:site_name\" content=\"AI-HealthLab\" \/>\n<meta property=\"article:published_time\" content=\"2022-03-31T15:51:50+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-13T21:37:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/portale2.unime.it\/ai-healthlab\/wp-content\/uploads\/sites\/94\/2022\/03\/image_edited-e1760275548120.png\" \/>\n\t<meta property=\"og:image:width\" content=\"610\" \/>\n\t<meta property=\"og:image:height\" content=\"413\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"robertam\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"robertam\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-3-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-3-2\\\/\"},\"author\":{\"name\":\"robertam\",\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/#\\\/schema\\\/person\\\/52269e7b1f938c4c4f745090dfe43160\"},\"headline\":\"Ri-Identificazione di MRI Cerebrali\",\"datePublished\":\"2022-03-31T15:51:50+00:00\",\"dateModified\":\"2025-10-13T21:37:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-3-2\\\/\"},\"wordCount\":345,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-3-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/wp-content\\\/uploads\\\/sites\\\/94\\\/2022\\\/03\\\/image_edited-e1760275548120.png\",\"articleSection\":[\"NEWS\"],\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-3-2\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-3-2\\\/\",\"url\":\"https:\\\/\\\/portale2.unime.it\\\/ai-healthlab\\\/notizia-3-2\\\/\",\"name\":\"Ri-Identificazione di MRI Cerebrali - 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