{"id":21406,"date":"2025-11-18T10:42:48","date_gmt":"2025-11-18T10:42:48","guid":{"rendered":"https:\/\/iit.ac.rs\/?page_id=21406"},"modified":"2026-03-04T13:36:47","modified_gmt":"2026-03-04T13:36:47","slug":"lazar-dasic","status":"publish","type":"page","link":"https:\/\/iit.ac.rs\/en\/lazar-dasic\/","title":{"rendered":"Lazar Da\u0161i\u0107"},"content":{"rendered":"
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\r\n \"\u041b\u0430\u0437\u0430\u0440\r\n <\/div>\r\n\r\n \r\n
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Lazar Da\u0161i\u0107<\/h2>\r\n\r\n
\r\n Junior research\nassistant<\/span>\r\n Master of Electrical and Computer Engineering<\/span>\r\n <\/div>\r\n\r\n
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Laboratory:<\/b> Bioengineering<\/div>\r\n
Address:<\/b> Institute of Information Technologies Kragujevac, Liceja Kne\u017eevine Srbije 1A, 34000 Kragujevac.<\/div>\r\n
Email:<\/b> lazar.dasic@kg.ac.rs<\/div>\r\n <\/div>\r\n\r\n \r\n
\r\n\r\n \r\n \"eNauka\"\r\n <\/a>\r\n\r\n \r\n \"SCIDAR\"\r\n <\/a>\r\n\r\n \r\n \"ORCID\"\r\n <\/a>\r\n\r\n \r\n \"LinkedIn\"\r\n <\/a>\r\n\r\n <\/div>\r\n\r\n \r\n
\r\n \r\n \ud83d\udcc4<\/span> CV - Serbian\r\n <\/a>\r\n\r\n \r\n \ud83d\udcc4<\/span> CV \u2013 English\r\n <\/a>\r\n <\/div>\r\n\r\n <\/div>\r\n\r\n \r\n
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\r\n Brief description of the research<\/summary>\r\n
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\r\n The main focus of Lazar Da\u0161i\u0107's research is the application of artificial intelligence and deep learning methods to biomedical data, primarily medical images.\r\n <\/p>\r\n\r\n

\r\n Research includes solving the problem of classification and segmentation of medical images, as well as the application of computer vision in the development of intraoperative tools to support surgeons during liver tumor removal operations.\r\n <\/p>\r\n\r\n <\/div>\r\n <\/details>\r\n\r\n \r\n

\r\n Selected references<\/summary>\r\n
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  • \r\n Da\u0161i\u0107 L., Radovanovi\u0107 N., \u0160u\u0161ter\u0161i\u010d T., Blagojevi\u0107 A., Benoli\u0107 L. and Filipovi\u0107 N. (2022).\r\n Patch-based Convolutional Neural Network for Atherosclerotic Carotid Plaque Semantic Segmentation<\/i>,\r\n IPSI Transactions on Internet Research, Vol.18(1), 58\u201363.\r\n <\/li>\r\n\r\n
  • \r\n Da\u0161i\u0107 L. and Filipovi\u0107 N. (2022).\r\n Liver Tracking for Intraoperative Augmented Reality Navigation System<\/i>,\r\n First Serbian International Conference on Applied Artificial Intelligence, \u041a\u0440\u0430\u0433\u0443\u0458\u0435\u0432\u0430\u0446.\r\n <\/li>\r\n\r\n
  • \r\n Da\u0161i\u0107 L., Blagojevi\u0107 A., \u0160u\u0161ter\u0161i\u010d T. and Filipovi\u0107 N. (2022).\r\n Comparative Analysis of Patch-based and Full Image Methodology of Carotid Artery Plaque Semantic Segmentation in Ultrasound Images<\/i>,\r\n IEEE-EMBS BHI Conference, \u0408\u043e\u0430\u043d\u0438\u043d\u0430, \u0413\u0440\u0447\u043a\u0430.\r\n <\/li>\r\n\r\n <\/ul>\r\n <\/div>\r\n <\/details>\r\n\r\n <\/div>\r\n <\/div>\r\n\r\n<\/div>\r\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>","protected":false},"excerpt":{"rendered":"

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