{"id":546,"date":"2025-08-29T19:10:10","date_gmt":"2025-08-29T19:10:10","guid":{"rendered":"https:\/\/geiselmed.dartmouth.edu\/roas\/?p=546"},"modified":"2025-08-29T19:10:10","modified_gmt":"2025-08-29T19:10:10","slug":"bruza-labs-work-selected-as-medical-physics-editors-choice","status":"publish","type":"post","link":"https:\/\/geiselmed.dartmouth.edu\/roas\/2025\/08\/29\/bruza-labs-work-selected-as-medical-physics-editors-choice\/","title":{"rendered":"Bruza Lab&#8217;s Work Selected as Medical Physics Editor\u2019s Choice"},"content":{"rendered":"<p data-start=\"301\" data-end=\"802\">Congratulations to Shiru Wang, and Yao Chen, whose recent publication was selected as an Editor\u2019s Choice article in Medical Physics.<\/p>\n<p data-start=\"301\" data-end=\"802\">Their paper, <em data-start=\"314\" data-end=\"443\">\u201cRobust real-time segmentation of bio-morphological features in human Cherenkov imaging during radiotherapy via deep learning\"<\/em> highlights innovative work advancing the use of artificial intelligence to improve imaging during radiation therapy. This research demonstrates the potential of deep learning to achieve accurate, real-time segmentation of biological features captured through Cherenkov imaging\u2014a technique that visualizes light produced by radiation interactions in tissue.<\/p>\n<p data-start=\"804\" data-end=\"1019\">Being chosen as an <em data-start=\"823\" data-end=\"840\">Editor\u2019s Choice<\/em> reflects the significance and impact of this contribution to the field of medical physics and its potential to inform future clinical applications in image-guided radiotherapy.<\/p>\n<p data-start=\"1021\" data-end=\"1144\">Read the full article here: <a class=\"decorated-link cursor-pointer\" target=\"_new\" rel=\"noopener\" data-start=\"1049\" data-end=\"1142\">Medical Physics \u2013 Wiley Online Library<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Congratulations to Shiru Wang, and Yao Chen, whose recent publication was selected as an Editor\u2019s Choice article in Medical Physics. Their paper, \u201cRobust real-time segmentation of bio-morphological features in human Cherenkov imaging during radiotherapy via deep learning&#8221; highlights innovative work advancing the use of artificial intelligence to improve imaging during [\u2026] <\/p>\n<div class=\"clear\"><\/div>\n<p><a class=\"more_link clearfix\" href=\"https:\/\/geiselmed.dartmouth.edu\/roas\/2025\/08\/29\/bruza-labs-work-selected-as-medical-physics-editors-choice\/\" rel=\"nofollow\">Read More<\/a><\/p>\n","protected":false},"author":323,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-546","post","type-post","status-publish","format-standard","hentry","category-uncategorized","author-323"],"_links":{"self":[{"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/posts\/546","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/users\/323"}],"replies":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/comments?post=546"}],"version-history":[{"count":1,"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/posts\/546\/revisions"}],"predecessor-version":[{"id":547,"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/posts\/546\/revisions\/547"}],"wp:attachment":[{"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/media?parent=546"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/categories?post=546"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/roas\/wp-json\/wp\/v2\/tags?post=546"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}