{"id":110330,"date":"2025-04-16T13:50:13","date_gmt":"2025-04-16T13:50:13","guid":{"rendered":"https:\/\/lassonde.yorku.ca\/ical\/?page_id=110330"},"modified":"2025-04-16T13:50:59","modified_gmt":"2025-04-16T13:50:59","slug":"featured-papers","status":"publish","type":"page","link":"https:\/\/lassonde.yorku.ca\/ical\/featured-papers\/","title":{"rendered":"Featured Papers"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\"><strong><a href=\"https:\/\/www.mdpi.com\/2313-433X\/11\/4\/109\">Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer<\/a><\/strong><\/h3>\n\n\n\n<p>Grigorescu, S., Mocanu, B., &amp; Dascalu, A. (2025). Real-Time Anomaly Detection in Video Surveillance: A Deep Learning Perspective. <em>Journal of Imaging, 11<\/em>(4), 109. <a class=\"\">https:\/\/doi.org\/10.3390\/jimaging11040109<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong><a href=\"https:\/\/www.eecs.yorku.ca\/~wangsong\/papers\/cain25.pdf\">LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?<\/a><\/strong><\/h3>\n\n\n\n<p>Odu, O., Belle, A. B., &amp; Wang, S. (2025). LLM-based safety case generation for Baidu Apollo: Are we there yet? <em>Proceedings of the 4th International Conference on AI Engineering \u2013 Software Engineering for AI (CAIN 2025)<\/em>.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/scholar.google.com\/scholar?cluster=10734863835209422991&amp;hl=en&amp;oi=scholarr\">Examining ownership models in software teams<\/a><\/h3>\n\n\n\n<p>Koana, U. A., Le, Q. H., Raman, S., Carlson, C., Chew, F., &amp; Nayebi, M. (2025). Examining ownership models in software teams (Vol 29, 155, 2024).&nbsp;<em>EMPIRICAL SOFTWARE ENGINEERING<\/em>,&nbsp;<em>30<\/em>(1).<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0956566324010868\">Integrating advanced Microfluidic lateral flow systems with a finger-prick blood collection cartridge to create an all-in-one platform for point-of-care diagnostics<\/a><\/h3>\n\n\n\n<p>Salahandish, R., Wang, S., &amp; Wheeler, A. R. (2025). Integrating advanced microfluidic lateral flow systems with a finger-prick blood collection cartridge to create an all-in-one platform for point-of-care diagnostics. <em>Biosensors and Bioelectronics, 271<\/em>, 117079. <a class=\"\">https:\/\/doi.org\/10.1016\/j.bios.2024.117079<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Grigorescu, S., Mocanu, B., &amp; Dascalu, A. (2025). Real-Time Anomaly Detection in Video Surveillance: A Deep Learning Perspective. Journal of Imaging, 11(4), 109. https:\/\/doi.org\/10.3390\/jimaging11040109 LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet? Odu,&#8230;<\/p>\n","protected":false},"author":255,"featured_media":110068,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[],"tags":[],"class_list":["post-110330","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Featured Papers - Centre for Innovation in Computing at Lassonde<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lassonde.yorku.ca\/ical\/featured-papers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Featured Papers - Centre for Innovation in Computing at Lassonde\" \/>\n<meta property=\"og:description\" content=\"Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Grigorescu, S., Mocanu, B., &amp; Dascalu, A. 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