{"id":35,"date":"2023-03-07T19:21:06","date_gmt":"2023-03-07T19:21:06","guid":{"rendered":"http:\/\/softlungx.bioirc.ac.rs\/?page_id=35"},"modified":"2025-01-17T15:57:16","modified_gmt":"2025-01-17T15:57:16","slug":"publications","status":"publish","type":"page","link":"http:\/\/softlungx.bioirc.ac.rs\/?page_id=35","title":{"rendered":"PUBLICATIONS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"35\" class=\"elementor elementor-35\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5e11202 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5e11202\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e9637ea\" data-id=\"e9637ea\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-65e558c elementor-widget elementor-widget-spacer\" data-id=\"65e558c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.11.5 - 14-03-2023 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a41d76 elementor-widget elementor-widget-heading\" data-id=\"7a41d76\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.11.5 - 14-03-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-large\">Publications<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfaf875 elementor-widget elementor-widget-text-editor\" data-id=\"cfaf875\" 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 - v3.11.5 - 14-03-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#818a91;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#818a91;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<p><strong>Conference papers:<\/strong><\/p><ul><li><p>Tijana Geroski, Ognjen Pavi\u0107, Lazar Da\u0161i\u0107, Marina Petrovi\u0107, Dragan Milovanovi\u0107, Nenad Filipovi\u0107, (2023), \u201c<em>Machine learning in\u00a0 medical image processing \u2013 from medical images to automated diagnosis<\/em>\u201d. International Scientific Conference Contemporary Materials \u2013 Banja Luka (September 8th, 2023)<\/p><\/li><\/ul><p>\u00a0<\/p><ul><li><p>Lazar Da\u0161i\u0107, Ognjen Pavi\u0107, Tijana Geroski, Dragan Milovanovi\u0107, Marina Petrovi\u0107, Nenad Filipovi\u0107, (2023), \u201c<em>Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-ray Images<\/em>\u201d. The 23rd IEEE International Conference on Bioinformatics and Bioengineering (BIBE) (Virtual) (December, 4-6th). <a href=\"https:\/\/doi.org\/10.1109\/BIBE60311.2023.00035\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1109\/BIBE60311.2023.00035<\/a><\/p><\/li><\/ul><p>\u00a0<\/p><ul><li><p>Lazar Da\u0161i\u0107, Ognjen Pavi\u0107, Tijana Geroski, Mina Vaskovi\u0107 Jovanovi\u0107, Nenad Filipovi\u0107, (2024), \u201c<em>Comparison of Different Convolutional Neural Networks Utilizing Transfer Learning for Pneumothorax Segmentation from Whole Chest X-Ray Images and Extracted Patches <\/em>\u201d. 14th International Conference on Information Society and Technology (Kopaonik, Serbia, March 10-13). <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-71419-1_15\" target=\"_blank\" rel=\"noopener\">https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-71419-1_15<\/a><\/p><\/li><\/ul><p>\u00a0<\/p><p><strong>Journal papers:<\/strong><\/p><ul><li id=\"chat-messages-1320752811985862666-1329497267836555266\" class=\"messageListItem_d5deea\" aria-setsize=\"-1\"><div class=\"message_d5deea cozyMessage_d5deea wrapper_f9f2ca cozy_f9f2ca zalgo_f9f2ca\" tabindex=\"-1\" role=\"article\" data-list-item-id=\"chat-messages___chat-messages-1320752811985862666-1329497267836555266\" aria-setsize=\"-1\" aria-roledescription=\"Message\" aria-labelledby=\"message-username-1329497167932428350 uid_1 message-content-1329497267836555266 uid_2 message-timestamp-1329497267836555266\"><div class=\"contents_f9f2ca\"><div id=\"message-content-1329497267836555266\" class=\"markup_f8f345 messageContent_f9f2ca\">Tijana Geroski, Vesna Rankovi\u0107, Ognjen Pavi\u0107, Lazar Da\u0161i\u0107, Marina Petrovi\u0107, Dragan Milovanovi\u0107, Nenad Filipovi\u0107, (2024). &#8220;<em>Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes&#8221;. <\/em>Biomedical Signal Processing and Control, 100, 107103. <a class=\"anchor_af404b anchorUnderlineOnHover_af404b\" tabindex=\"0\" title=\"https:\/\/doi.org\/10.1016\/j.bspc.2024.107103\" role=\"button\" href=\"https:\/\/doi.org\/10.1016\/j.bspc.2024.107103\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1016\/j.bspc.2024.107103<\/a><\/div><\/div><div>\u00a0<\/div><\/div><\/li><\/ul><ul><li>Tijana Geroski, Ognjen Pavi\u0107, Lazar Da\u0161i\u0107, Dragan Milovanovi\u0107, Marina Petrovi\u0107, Nenad Filipovi\u0107 (2024). <em>&#8220;SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images&#8221;<\/em>. Journal of Big Data, 11(1), 146. <a class=\"anchor_af404b anchorUnderlineOnHover_af404b\" tabindex=\"0\" title=\"https:\/\/doi.org\/10.1186\/s40537-024-01018-0\" role=\"button\" href=\"https:\/\/doi.org\/10.1186\/s40537-024-01018-0\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1186\/s40537-024-01018-0<\/a><\/li><\/ul><p>\u00a0<\/p><p><strong>Book chapters:<\/strong><\/p><ul><li>Lazar Da\u0161i\u0107, Nenad Filipovi\u0107 (2024). <em>&#8220;Use Case: Application of Deep Learning Methods in Diagnosis of Lung Diseases from Medical Imaging Data&#8221;<\/em>. In In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach (pp. 399-424). Cham: Springer Nature Switzerland. <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-60044-9_14\" target=\"_blank\" rel=\"noopener\">https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-60044-9_14<\/a><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5c19ef elementor-widget elementor-widget-spacer\" data-id=\"a5c19ef\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Publications Conference papers: Tijana Geroski, Ognjen Pavi\u0107, Lazar Da\u0161i\u0107, Marina Petrovi\u0107, Dragan Milovanovi\u0107, Nenad Filipovi\u0107, (2023), \u201cMachine learning in\u00a0 medical image processing \u2013 from medical images to automated diagnosis\u201d. International Scientific Conference Contemporary Materials \u2013 Banja Luka (September 8th, 2023) \u00a0 Lazar Da\u0161i\u0107, Ognjen Pavi\u0107, Tijana Geroski, Dragan Milovanovi\u0107, Marina Petrovi\u0107, Nenad Filipovi\u0107, (2023), \u201cTransfer [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-35","page","type-page","status-publish","hentry"],"guten_post_layout_featured_media_urls":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"guten_post_layout_landscape_large":false,"guten_post_layout_portrait_large":false,"guten_post_layout_square_large":false,"guten_post_layout_landscape":false,"guten_post_layout_portrait":false,"guten_post_layout_square":false},"_links":{"self":[{"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=\/wp\/v2\/pages\/35","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=35"}],"version-history":[{"count":70,"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=\/wp\/v2\/pages\/35\/revisions"}],"predecessor-version":[{"id":934,"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=\/wp\/v2\/pages\/35\/revisions\/934"}],"wp:attachment":[{"href":"http:\/\/softlungx.bioirc.ac.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=35"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}