{"id":12432,"date":"2025-09-01T11:35:32","date_gmt":"2025-09-01T09:35:32","guid":{"rendered":"https:\/\/www.uni.lu\/lcsb-en\/?post_type=research-groups&#038;p=12432"},"modified":"2025-09-01T11:38:49","modified_gmt":"2025-09-01T09:38:49","slug":"research","status":"publish","type":"research-groups","link":"https:\/\/www.uni.lu\/lcsb-en\/research-groups\/ai-biomedical-imaging\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<div class=\"section py-0 static\">\n<section class=\"py-0 wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><!-- SecondaryNavigationMirror --><div class=\"js-secondary-nav--sticky wp-block-unilux-blocks-secondary-navigation\" id=\"6bc66919-078e-4be4-8a56-a1589137e448\">\n    <nav id=\"secondary-navigation\" role=\"navigation\" aria-label=\"Secondary menu\" class=\"secondary-nav\">\n        <button class=\"secondary-nav__button btn btn-solid--primary w-full\" aria-expanded=\"false\" aria-controls=\"secondary-navigation__list\" title=\"The selected page is Research\" type=\"button\">\n            <span class=\"btn__name mr-auto\">Research<\/span>\n            <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--xs\">\n                <use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-down\" \/>\n            <\/svg>\n        <\/button>\n\n        <ul id=\"secondary-navigation__list\" class=\"secondary-nav__list\">\n            <li class=\"secondary-nav__item\">\n    <a href=\"https:\/\/www.uni.lu\/lcsb-en\/research-groups\/ai-biomedical-imaging\/\" target=\"\" rel=\"noreferrer noopener\" class=\"secondary-nav__link \">\n        <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--xs\">\n            <use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\" \/>\n        <\/svg>\n        <span class=\"secondary-nav__name\">Overview<\/span>\n    <\/a>\n<\/li>\n<li class=\"secondary-nav__item\">\n    <a href=\"https:\/\/www.uni.lu\/lcsb-en\/research-groups\/ai-biomedical-imaging\/research\/\" target=\"\" rel=\"noreferrer noopener\" class=\"secondary-nav__link isactived\" aria-current=\"page\">\n        <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--xs\">\n            <use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\" \/>\n        <\/svg>\n        <span class=\"secondary-nav__name\">Research<\/span>\n    <\/a>\n<\/li>\n<li class=\"secondary-nav__item\">\n    <a href=\"https:\/\/www.uni.lu\/lcsb-en\/research-groups\/ai-biomedical-imaging\/publications\/\" target=\"\" rel=\"noreferrer noopener\" class=\"secondary-nav__link \">\n        <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--xs\">\n            <use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\" \/>\n        <\/svg>\n        <span class=\"secondary-nav__name\">Publications<\/span>\n    <\/a>\n<\/li>\n<li class=\"secondary-nav__item\">\n    <a href=\"https:\/\/www.uni.lu\/lcsb-en\/research-groups\/ai-biomedical-imaging\/people\/\" target=\"\" rel=\"noreferrer noopener\" class=\"secondary-nav__link \">\n        <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--xs\">\n            <use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\" \/>\n        <\/svg>\n        <span class=\"secondary-nav__name\">People<\/span>\n    <\/a>\n<\/li>\n        <\/ul>\n    <\/nav>\n<\/div>\n<!-- end SecondaryNavigationMirror --><\/div><\/section>\n\n\n<section class=\"section  wp-block-unilux-blocks-content-card-full-width \">\n    <div class=\"container 2xl:max-w-screen-2xl\">\n        <div class=\"max-w-11\/12\">\n            <div class=\"content-card content-card--right content-card__overlay--hidden wp-block-unilux-blocks-content-card\">\n    \n<h2 class=\"content-card__heading has-text-align-left wp-block-unilux-blocks-heading\"        id=\"our-research\"\n    >\nOur Research<\/h2>\n<div class=\"content-card__visual wp-block-unilux-blocks-content-card-visual-area\">\n    \n<section class=\"wp-block-unilux-blocks-image-video-wrapper\">\n    <figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--cover\">\n    \n<img decoding=\"async\" class=\"wp-block-image unilux-custom-image-block\"\n                alt=\"\"\n            src=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/6\/2025\/08\/29112637\/AI-in-Biomedical-Imaging-group_research.png\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/6\/2025\/08\/29112637\/AI-in-Biomedical-Imaging-group_research-300x178.png 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/6\/2025\/08\/29112637\/AI-in-Biomedical-Imaging-group_research-1024x606.png 1024w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/6\/2025\/08\/29112637\/AI-in-Biomedical-Imaging-group_research-768x455.png 768w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/6\/2025\/08\/29112637\/AI-in-Biomedical-Imaging-group_research.png 1316w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: cover; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 3\/2; object-fit: cover; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure><\/section>\n<div class=\"wp-block-unilux-blocks-wrapper content-card__overlay\">\n<a class=\"wp-block-unilux-blocks-button-highlight-rounded bottom-left\" \n    href=\"#\"\n    target=\"_self\"\n>\n    \n<span class=\"btn-highlight-rounded__name wp-block-unilux-blocks-plain-text\"><\/span>    <span class=\"icon-rounded\">\n        <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-right icon--lg\"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\"><\/use><\/svg>    <\/span>\n<\/a><\/div>\n<\/div><div class=\"content-card__body  wp-block-unilux-blocks-content-card-free-area\">\n    \n<div class=\"wp-block-columns is-layout-flex wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>In recent years, foundation models have transformed the analysis of imaging data. Yet in biomedical settings, their adoption remains limited due to challenges such as data scarcity, sparse annotations, and inherent uncertainty, even among experts. Our group aims to develop novel and trustworthy AI methods that go beyond existing approaches, translating advances in machine learning into reliable tools for both biomedical research and clinical practice.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>A key part of our research vision is self-supervised representation learning, exploring innovative strategies to adapt foundation models to biomedical images for segmentation and classification with minimal supervision. We also aim to develop uncertainty-aware AI models that explicitly account for annotation ambiguity, leading to more calibrated and safer predictions. More broadly, our group is committed to advancing machine learning approaches that tackle fundamental challenges in biomedical image analysis. Through these efforts, we strive to create AI that is not only accurate but also robust and trustworthy.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>        <\/div>\n    <\/div>\n<\/section>\n\n\n<section class=\"py-0 wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<h2 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"our-research-projects\"\n    >\nOur research projects<\/h2>\n\n\n\n<p>This section introduces current projects of the AI in Biomedical Imaging group:<\/p>\n<\/div><\/section>\n\n\n\n<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<div class=\"wp-block-unilux-blocks-accordion accordion accordion--theme accordion-standard\" data-reference=\"90acaa8e-4de1-4bb1-b0d9-5f4d4e907b2e\" data-accordion-type=\"standard\"><div class=\"accordion__item  wp-block-unilux-blocks-accordion-item\">\n    <h3 class=\"accordion__header\"\n                    id=\"artificial-intelligence-for-dental-occlusion-assessment\"\n        >\n        <button\n            type=\"button\"\n            id=\"accordion-labelledby-db464538-a89b-4863-b5fe-d8022aa29de0\"\n            class=\"accordion__button collapsed\"\n            aria-expanded=\"false\"\n            aria-controls=\"accordion-panel-db464538-a89b-4863-b5fe-d8022aa29de0\"\n            data-bs-toggle=\"collapse\"\n            data-bs-target=\"#accordion-panel-db464538-a89b-4863-b5fe-d8022aa29de0\"\n        >\n            <span class=\"accordion__title\">\n                                Artificial Intelligence for Dental Occlusion Assessment            <\/span>\n\n            <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-down \"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-down\"><\/use><\/svg>        <\/button>\n    <\/h3>\n    <div id=\"accordion-panel-db464538-a89b-4863-b5fe-d8022aa29de0\"\n        class=\"accordion__collapse collapse\"\n        aria-labelledby=\"accordion-labelledby-db464538-a89b-4863-b5fe-d8022aa29de0\"\n        data-bs-parent=\"[data-reference=&quot;90acaa8e-4de1-4bb1-b0d9-5f4d4e907b2e&quot;]\"\n    >\n        <div class=\"accordion__body \">\n            \n<ul class=\"wp-block-unilux-blocks-highlighted-list list-highlighted list-highlighted--course\"><li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"duration\"\n    >\nDuration:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p>2025-2028<\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"funding-source\"\n    >\nFunding source:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p>Industrial Fellowship from the Luxembourg National Research Fund (FNR)<\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"researchers\"\n    >\nResearchers:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p><\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"partners\"\n    >\nPartners:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p>Becker Investment Research &amp; Development (BIRD) S. A.<\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"description\"\n    >\nDescription:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p>Having healthy teeth is not the same as having aligned teeth. While the public often equates dental health with an attractive smile, orthodontic specialist focuses on functional aspects (medical), i.e., how the dental arches fit together. Various methods exist for orthodontic assessment, including ICON, OGS, KIG, and the PAR Index. Among these, the PAR Index is widely trusted for providing a standardized measure of treatment quality by comparing pre- and post-treatment scores.<\/p>\n\n<p>Advances in digital dentistry and AI have shown promise for improving orthodontic practice, yet automated PAR assessment from intra-oral images remains challenging and largely manual. This project hypothesizes that AI can enhance orthodontic planning by automatically categorizing patients according to the PAR Index using standardized intra-oral photographs. Such AI could improve efficiency, consistency, and precision, while also serving as a training tool for junior practitioners and a platform for self-improvement or knowledge sharing among orthodontists. We aim to leverage a uniquely large and diverse dataset of intra-oral images collected by BIRD S.A. across multiple clinical sites. This dataset surpasses any previously published collection used for orthodontic AI, offering a rich foundation to develop robust and clinically relevant models.<\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"project-details-pdf\"\n    >\nProject details (PDF):<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p><\/p>\n<\/div><\/div><\/li><\/ul>\n        <\/div>\n    <\/div>\n<\/div>\n\n<div class=\"accordion__item  wp-block-unilux-blocks-accordion-item\">\n    <h3 class=\"accordion__header\"\n                    id=\"tracking-dynamic-objects-in-2d-and-3d-biomedical-imaging\"\n        >\n        <button\n            type=\"button\"\n            id=\"accordion-labelledby-832d6f91-063c-468b-966b-8f98629de60b\"\n            class=\"accordion__button collapsed\"\n            aria-expanded=\"false\"\n            aria-controls=\"accordion-panel-832d6f91-063c-468b-966b-8f98629de60b\"\n            data-bs-toggle=\"collapse\"\n            data-bs-target=\"#accordion-panel-832d6f91-063c-468b-966b-8f98629de60b\"\n        >\n            <span class=\"accordion__title\">\n                                Tracking Dynamic Objects in 2D and 3D Biomedical Imaging            <\/span>\n\n            <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-down \"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-down\"><\/use><\/svg>        <\/button>\n    <\/h3>\n    <div id=\"accordion-panel-832d6f91-063c-468b-966b-8f98629de60b\"\n        class=\"accordion__collapse collapse\"\n        aria-labelledby=\"accordion-labelledby-832d6f91-063c-468b-966b-8f98629de60b\"\n        data-bs-parent=\"[data-reference=&quot;90acaa8e-4de1-4bb1-b0d9-5f4d4e907b2e&quot;]\"\n    >\n        <div class=\"accordion__body \">\n            \n<ul class=\"wp-block-unilux-blocks-highlighted-list list-highlighted list-highlighted--course\"><li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"duration\"\n    >\nDuration:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p><\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"funding-source\"\n    >\nFunding source:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p>LCSB<\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"researchers\"\n    >\nResearchers:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p><\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"partners\"\n    >\nPartners:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p>This project is a collaboration with two internal teams within LCSB: the Neuroinflammation group, which defined the research need, and the AI Modelling and Prediction group, whose PhD student carries out the implementation.<\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"description\"\n    >\nDescription:<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p>A major challenge in biomedical imaging is understanding how individual cells, molecular deposits, or other biological structures change or behave over time. This is especially difficult when objects change shape or when imaging data is affected by shifts in the camera or by deformable tissues.<\/p>\n\n<p>This project explores the development of robust computational methods to track these dynamic objects in both 2D and 3D imaging data. By combining techniques that correct for movement and advanced algorithms that can handle morphological changes, we aim to maintain consistent identification of objects over time.<\/p>\n\n<p>This research has broad potential applications. In neuroscience, tracking beta-amyloid plaques in live tissue could improve understanding of Alzheimer\u2019s disease progression. In cell biology, following individual cells within 3D tissue cultures may reveal new insights into cellular behavior and proliferation. In medical imaging, monitoring tumor progression over time could provide valuable information on cancer development and treatment response.<\/p>\n\n<p>Through this project, we aim to create tools that make long-term tracking of dynamic biological systems more accurate, efficient, and accessible enabling translational applications in biomedicine.<\/p>\n<\/div><\/div><\/li>\n\n<li class=\"list-highlighted__item  items-start wp-block-unilux-blocks-highlighted-list-item\">\n    <header class=\"list-highlighted__header wp-block-unilux-blocks-highlighted-list-item-header\">\n    \n<h4 class=\"title text-18 font-bold has-text-align-left wp-block-unilux-blocks-heading\"        id=\"project-details-pdf\"\n    >\nProject details (PDF):<\/h4>\n<div class=\"wp-block-unilux-blocks-bigtext\">\n    <span>\n        \n    <\/span>\n<\/div><\/header><div class=\"list-highlighted__body wp-block-unilux-blocks-highlighted-list-item-body\">\n    <div class=\"wp-block-unilux-blocks-highlighted-list-item-free-content-area\">\n    \n<p><\/p>\n<\/div><\/div><\/li><\/ul>\n        <\/div>\n    <\/div>\n<\/div><\/div>\n<\/div><\/section>\n\n\n<section class=\"section section wp-block-unilux-blocks-quick-link-discover-section\">\n    <div class=\"container xl:max-w-screen-xl\">\n        \n<h2 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"discover-more\"\n    >\nDiscover more<\/h2>\n\n<ul class=\"wp-block-unilux-blocks-quick-link-discover quick-link-list\">\n<li class=\"wp-block-unilux-blocks-quick-link-discover-item\">\n    <a\n                    href=\"https:\/\/www.uni.lu\/lcsb-en\/research\/\"\n                    class=\"quick-link\"\n            target=\"\"\n    >\n            <span class=\"quick-link__container\">\n                <span class=\"quick-link__text\">\n                    Research at the LCSB                 <\/span>\n                <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-right \"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\"><\/use><\/svg>            <\/span>\n    <\/a>\n<\/li>\n\n\n\n<li class=\"wp-block-unilux-blocks-quick-link-discover-item\">\n    <a\n                    href=\"https:\/\/www.uni.lu\/lcsb-en\/join-us\/\"\n                    class=\"quick-link\"\n            target=\"\"\n    >\n            <span class=\"quick-link__container\">\n                <span class=\"quick-link__text\">\n                    Join us                <\/span>\n                <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-right \"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\"><\/use><\/svg>            <\/span>\n    <\/a>\n<\/li>\n\n\n\n<li class=\"wp-block-unilux-blocks-quick-link-discover-item\">\n    <a\n                    href=\"https:\/\/www.uni.lu\/lcsb-en\/contact\/\"\n                    class=\"quick-link\"\n            target=\"\"\n    >\n            <span class=\"quick-link__container\">\n                <span class=\"quick-link__text\">\n                    Contact us                 <\/span>\n                <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-right \"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\"><\/use><\/svg>            <\/span>\n    <\/a>\n<\/li>\n<\/ul>\n    <\/div>\n<\/section><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":56,"featured_media":0,"parent":12421,"menu_order":0,"template":"","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"AI in Biomedical Imaging","uluxPrePostTitle":"Research Group","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false},"field-of-interest":[281,287,290],"organisation":[202],"authorship":[56],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Research AI in Biomedical Imaging - LCSB research group I University of Luxembourg<\/title>\n<meta name=\"description\" content=\"In recent years, foundation models have transformed the analysis of imaging data. 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