{"id":51,"date":"2019-10-14T20:49:11","date_gmt":"2019-10-14T20:49:11","guid":{"rendered":"http:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/?page_id=51"},"modified":"2022-10-24T09:38:01","modified_gmt":"2022-10-24T09:38:01","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<ul class=\"wp-block-categories wp-block-categories-list\"><li class=\"cat-item-none\">No categories<\/li><\/ul>\n\n\n<ul><li><strong>Moroz-Dubenco, C., Diosan, L., Andreica, A.<\/strong>, <em>Mammography Lesion Detection Using an Improved GrowCut Algorithm<\/em>, International Conference on Knowledge-Based and Intelligent Information &amp; Engineering Systems (KES 2021), Procedia Computer Science, vol. 192, pp. 308-317 (2021)<\/li><li><strong>Bajcsi, A., Andreica, A., Chira, C.<\/strong>, <em>Towards feature selection for digital mammogram classification<\/em>, International Conference on Knowledge-Based and Intelligent Information &amp; Engineering Systems (KES 2021), Procedia Computer Science, vol. 192, pp. 632-641 (2021)<\/li><li><strong>Mester, A.,<\/strong> Pop, A., Mursa, B.-E.-M., Grebl\u0103, H., <strong>Dio\u015fan, L., Chira, C.<\/strong> <em>Network Analysis Based on Important Node Selection and Community Detection<\/em>, Mathematics, 9(18):2294 (2021)<\/li><li><strong>Moroz-Dubenco, C.<\/strong>, <em>Comparison of Gradient-Based Edge Detectors Applied on Mammograms<\/em>, Studia Universitatis Babe\u015f-Bolyai, Informatica series, Vol. LXV, No. 2, pp. 5-18 (2021)<\/li><li><strong>Bajcsi, A.<\/strong>, <em>Towards a Support System for Digital Mammogram Classification<\/em>, Studia Universitatis Babe\u015f-Bolyai, Informatica series, Vol. LXV, No. 2, pp. 19-34 (2021)<\/li><li>Czibula, G., Albu, A.-I., Bocicor,\u00a0M.I., <strong>Chira, C.,<\/strong>\u00a0<em>AutoPPI: An Ensemble of Deep Autoencoders for Protein\u2013Protein Interaction Prediction<\/em>, Entropy, 23(6): 643, (2021)<\/li><li>Iancu, S., Cozan, R.G., Stefancu, A., David, M., Moisoiu, T., <strong>Moroz-Dubenco, C., Bajcsi, A., Chira, C., Andreica, A.<\/strong>, Leopold, L., Eniu, D., Staicu, A., Goidescu, I., Socaciu, C., Eniu, D., <strong>Diosan, L.<\/strong>, Leopold, N., <em>SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine?<\/em>, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy (2022)<\/li><li><strong>Diosan, L., Andreica, A.<\/strong>, Voiculescu, I., <em>On the use of multi\u2013objective evolutionary classifiers for breast cancer detection<\/em>, PLoS ONE, 17(7) (2022)<\/li><li><strong>Moroz-Dubenco, C., Bajcsi, A., Andreica, A., Chira, C.<\/strong>, <em>An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection<\/em>, International Conference on Knowledge-Based and Intelligent Information &amp; Engineering Systems (KES 2022), Procedia Computer Science, vol. 207, pp. 2096-2105 (2022)<\/li><li><strong>Bajcsi, A., Chira, C., Andreica, A.,<\/strong><em>Extended mammogram classification from textural features<\/em>, Studia Universitatatis Babe\u0219-Bolyai Informatica (2022), <em>accepted<\/em><\/li><li><strong>Moroz-Dubenco, C., Diosan, L., Andreica, A.<\/strong>, <em>Towards An Unsupervised Improved Growcut Algorithm For Mammography Lesion Detection<\/em>, International Journal of Medical Informatics (2022), <em>submitted<\/em><\/li><li><strong>Moroz-Dubenco, C., Diosan, L., Andreica, A.<\/strong>, <em>Towards An Unsupervised Improved Growcut Algorithm For Mammography Lesion Detection<\/em>, International Journal of Medical Informatics (2022), <em>submitted<\/em><\/li><li><strong>Moroz-Dubenco, C., Diosan, L., Andreica, A.<\/strong>, <em>Mammography Lesion Detection Using an Improved GrowCut Algorithm Applied on DDSM<\/em>, The Visual Computer (2022), <em>submitted<\/em><\/li><li>Loghin, M.A.,<strong> Andreica, A., <\/strong><em>Image reconstruction using Cellular Automata and Neural Networks<\/em>, Expert Systems (2022), <em>submitted<\/em><\/li><li><strong>Mester, A., Andreica, A., <\/strong><em>Network optimization problem applicable for breast cancer screening cost minimization, <\/em>14th Joint Conference on Mathematics and Computer Science (MACS 2022), <em>submitted<\/em><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Moroz-Dubenco, C., Diosan, L., Andreica, A., Mammography Lesion Detection Using an Improved GrowCut Algorithm, International Conference on Knowledge-Based and Intelligent Information &amp; Engineering Systems (KES 2021), Procedia Computer Science, vol. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/pages\/51"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/comments?post=51"}],"version-history":[{"count":9,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/pages\/51\/revisions"}],"predecessor-version":[{"id":351,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/pages\/51\/revisions\/351"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/ped2607\/wp-json\/wp\/v2\/media?parent=51"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}