{"id":16,"date":"2024-01-11T16:56:10","date_gmt":"2024-01-11T15:56:10","guid":{"rendered":"https:\/\/medimint.unibs.it\/?page_id=16"},"modified":"2026-07-29T11:40:01","modified_gmt":"2026-07-29T09:40:01","slug":"research","status":"publish","type":"page","link":"https:\/\/medimint.unibs.it\/index.php\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\"Chest\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t
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Chest X-Ray analysis<\/a><\/h3>\t\t\t\t\t\t\t
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\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<\/p>\n\t\t<\/div>\n\t\t\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\n\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t

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\n\t\t\t\t\t\"Brain\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t
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Brain MRI processing<\/a><\/h3>\t\t\t\t\t\t\t
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End-to-end Convolutional Neural Network (CNN) architectures that allow for the segmentation and morphometric analysis of MRI brain volumes, while fighting the scanner effects.<\/p>\n\t\t<\/div>\n\t\t\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\n\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t

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\n\t\t\t\t\t\"AI\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t
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AI for Digital Microbiology<\/a><\/h3>\t\t\t\t\t\t\t
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Full Laboratory Automation is revolutionizing work habits in an increasing number of clinical microbiology facilities worldwide, generating huge streams of digital images for interpretation. Here is the work we did<\/p>\n\t\t<\/div>\n\t\t\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\n\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t

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ECG signal analysis<\/a><\/h3>\t\t\t\t\t\t\t
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We combine deep learning and transformers to automate and improve heart condition diagnoses from ECG. Transformers are particularly able to tackle long-range patterns crucial for comprehensive analysis, potentially leading to<\/p>\n\t\t<\/div>\n\t\t\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\n\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Funded Projects<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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  • FISR 2020: ResponsiX: Responsible and clinically deployable AI-driven evaluation of COVID-19 disease severity on Chest X-rays (PI Prof. Alberto Signoroni)<\/li>
  • PRIN 2022: QT-Seed: Quality-of-life Technological and Societal Exploitation of ECG Diagnostics (PI prof. Riccardo Bernardini UniUD, vice-PI prof. Alberto Signoroni)

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    Collaborations with institustions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    • Institute of Neuroscience and Psychology, University of Glasgow, UK<\/li>
    • Sagol Brain Institute, Tel Aviv Sourasky Medical Center, IL<\/li>
    • Vivantes Klinikum, Berlin, DE<\/li>
    • University Medical Center of Leiden, NL<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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      Collaboration with corps<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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      Copan Italia s.p.a. (microbiologia clinica), El.Co. s.r.l. (sistemi informativi medicali), S.P.E. Sistemi e Progetti Elettronici s.a.s. (sistemi informativi medicali, data center), Yonder s.r.l.(spin-off UniBS), Antares Vision s.p.a., Gexcel s.r.l. (spin-off UniBS)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\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":"

      Chest X-Ray analysis \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 Brain MRI processing End-to-end Convolutional Neural Network (CNN) architectures that allow for the segmentation and morphometric analysis of MRI brain volumes, while […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-16","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"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=16"}],"version-history":[{"count":47,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":335,"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/pages\/16\/revisions\/335"}],"wp:attachment":[{"href":"https:\/\/medimint.unibs.it\/index.php\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}