{"id":1323,"date":"2020-04-18T15:35:15","date_gmt":"2020-04-18T19:35:15","guid":{"rendered":"https:\/\/sites.bu.edu\/tianlab\/?page_id=1323"},"modified":"2021-05-15T09:16:34","modified_gmt":"2021-05-15T13:16:34","slug":"talks-2","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/tianlab\/talks-2\/","title":{"rendered":"Talks"},"content":{"rendered":"<h4>Reliable deep learning for quantitative biomedical imaging<\/h4>\n<p><img loading=\"lazy\" src=\"\/tianlab\/files\/2019\/10\/reliableDL-636x342.png\" alt=\"\" width=\"636\" height=\"342\" class=\"alignnone size-medium wp-image-1149\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2019\/10\/reliableDL-636x342.png 636w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/10\/reliableDL-768x413.png 768w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/10\/reliableDL-1024x551.png 1024w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/10\/reliableDL.png 1452w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/embs.papercept.net\/proceedings\/ISBI20\/0825_VP.mp4\" target=\"_blank\" rel=\"noopener noreferrer\">Deep learning based phase imaging with uncertainty quantification<\/a><\/strong>, ISBI 2020<\/li>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11249\/1124912\/Towards-scalable-and-reliable-deep-learning-based-phase-microscopy-using\/10.1117\/12.2548615.full?webSyncID=1c39ddcc-c491-beab-41c9-9badae9276c5&amp;sessionGUID=d3097a34-7078-395b-9738-3cd0722c4da9&amp;spMailingID=5227995&amp;spUserID=NDIwNzEwNTMyNzAS1&amp;spJobID=1000719802&amp;spReportId=MTAwMDcxOTgwMgS2&amp;_ga=2.96914335.1482210015.1587238932-1642732384.1524842084&amp;SSO=1\"><strong>Towards scalable and reliable deep learning based phase microscopy using intensity-only measurements<\/strong><\/a>, SPIE BiOS 2020<\/span><\/li>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11250\/1125015\/Towards-reliable-deep-learning-based-phase-microscopy-Conference-Presentation\/10.1117\/12.2543061.full?webSyncID=1c39ddcc-c491-beab-41c9-9badae9276c5&amp;sessionGUID=d3097a34-7078-395b-9738-3cd0722c4da9&amp;spMailingID=5227995&amp;spUserID=NDIwNzEwNTMyNzAS1&amp;spJobID=1000719802&amp;spReportId=MTAwMDcxOTgwMgS2&amp;_ga=2.166513726.1482210015.1587238932-1642732384.1524842084\"><strong>Towards reliable deep learning based phase microscopy<\/strong><\/a>,\u00a0SPIE BiOS 2020<\/span><\/li>\n<li><strong><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10883\/108830G\/Learning-approach-to-computational-microscopy\/10.1117\/12.2515580.full?_ga=2.60196909.1482210015.1587238932-1642732384.1524842084\">Learning approach to computational microscopy<\/a>,<\/strong>\u00a0SPIE BiOS 2019<\/li>\n<li><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10887\/108870Y\/A-deep-learning-approach-to-high-space-bandwidth-product-phase\/10.1117\/12.2507006.full?_ga=2.60196909.1482210015.1587238932-1642732384.1524842084\"><strong>A deep learning approach to high space-bandwidth product phase microscopy with coded illumination<\/strong><\/a>,\u00a0<span>SPIE BiOS 2019<\/span><\/li>\n<\/ul>\n<h4><br style=\"clear: both;\" \/>Intensity diffraction tomography for multi-scale label-free imaging<\/h4>\n<p><img loading=\"lazy\" src=\"\/tianlab\/files\/2019\/12\/aIDT-636x462.png\" alt=\"\" width=\"636\" height=\"462\" class=\"alignnone size-medium wp-image-1191\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2019\/12\/aIDT-636x462.png 636w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/12\/aIDT-768x558.png 768w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/12\/aIDT-1024x745.png 1024w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/12\/aIDT.png 1543w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/www.youtube.com\/watch?v=wINjXlW_kS8\">Model and Learning Strategies for Computational 3D phase microscopy<\/a><\/strong>, IEEE SPACE Webinar 2021.<\/li>\n<li><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11249\/112490A\/Computational-illumination-for-high-throughput-intensity-diffraction-tomography-of-dynamic\/10.1117\/12.2545295.full?webSyncID=1c39ddcc-c491-beab-41c9-9badae9276c5&amp;sessionGUID=d3097a34-7078-395b-9738-3cd0722c4da9&amp;spMailingID=5227995&amp;spUserID=NDIwNzEwNTMyNzAS1&amp;spJobID=1000719802&amp;spReportId=MTAwMDcxOTgwMgS2&amp;_ga=2.58500010.1482210015.1587238932-1642732384.1524842084\"><strong>Computational illumination for high-throughput intensity diffraction tomography of dynamic biological samples<\/strong><\/a>, SPIE BiOS 2020<\/li>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10656\/106560R\/Computational-imaging-in-complex-media-Conference-Presentation\/10.1117\/12.2302593.full?_ga=2.60196909.1482210015.1587238932-1642732384.1524842084\"><strong>Computational imaging in complex media<\/strong><\/a>,\u00a0 SPIE Commercial + Scientific Sensing and Imaging, 2018<\/span><\/li>\n<\/ul>\n<h4><br style=\"clear: both;\" \/>Reflection-mode intensity diffraction tomography<\/h4>\n<p><img loading=\"lazy\" src=\"\/tianlab\/files\/2020\/01\/Figure5-611x636.png\" alt=\"\" width=\"611\" height=\"636\" class=\"alignnone size-medium wp-image-1205\" \/><\/p>\n<ul>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10887\/108870L\/Intensity-only-reflection-quantitative-phase-imaging-for-biological-sample-characterization\/10.1117\/12.2508564.full?_ga=2.60196909.1482210015.1587238932-1642732384.1524842084\"><strong>Intensity-only reflection quantitative phase imaging for biological sample characterization<\/strong><\/a>,\u00a0SPIE BiOS 2019<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h4>Imaging in\u00a0Scattering Media<\/h4>\n<p><img loading=\"lazy\" src=\"\/tianlab\/files\/2016\/08\/intro-636x443.png\" alt=\"\" width=\"636\" height=\"443\" class=\"alignnone size-medium wp-image-854\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2016\/08\/intro-636x443.png 636w, https:\/\/sites.bu.edu\/tianlab\/files\/2016\/08\/intro-768x535.png 768w, https:\/\/sites.bu.edu\/tianlab\/files\/2016\/08\/intro-1024x713.png 1024w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=cVfR23R_0q8\"><strong>Imaging through diffusers with extended depth of field using a deep neural network<\/strong><\/a>, ICCP 2020<\/li>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11248\/112480A\/Deep-learning-based-computational-microscopy-in-scattering-media-Conference-Presentation\/10.1117\/12.2550412.full?webSyncID=1c39ddcc-c491-beab-41c9-9badae9276c5&amp;sessionGUID=d3097a34-7078-395b-9738-3cd0722c4da9&amp;spMailingID=5227995&amp;spUserID=NDIwNzEwNTMyNzAS1&amp;spJobID=1000719802&amp;spReportId=MTAwMDcxOTgwMgS2&amp;_ga=2.166513726.1482210015.1587238932-1642732384.1524842084\"><strong>Deep learning based computational microscopy in scattering media<\/strong><\/a>, SPIE BiOS 2020<\/span><\/li>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10990\/1099002\/Learning-speckle-correlations-for-imaging-through-scattering--Conference-Presentation\/10.1117\/12.2520081.full?_ga=2.66940078.1482210015.1587238932-1642732384.1524842084\"><strong>Learning speckle correlations for imaging through scattering<\/strong><\/a>,\u00a0SPIE Defense + Commercial Sensing, 2019<\/span><\/li>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10886\/108860X\/A-one-for-all-deep-learning-approach-for-imaging-through\/10.1117\/12.2507276.full?_ga=2.60196909.1482210015.1587238932-1642732384.1524842084\"><strong>A one-for-all deep learning approach for imaging through diffusers<\/strong><\/a>,\u00a0SPIE BiOS 2019<\/span><\/li>\n<\/ul>\n<h4><br style=\"clear: both;\" \/>Deep learning for neurophotonics<\/h4>\n<p><img loading=\"lazy\" src=\"\/tianlab\/files\/2019\/09\/3DSeg-636x214.png\" alt=\"\" width=\"636\" height=\"214\" class=\"alignnone size-medium wp-image-1131\" srcset=\"https:\/\/sites.bu.edu\/tianlab\/files\/2019\/09\/3DSeg-636x214.png 636w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/09\/3DSeg-768x258.png 768w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/09\/3DSeg-1024x344.png 1024w, https:\/\/sites.bu.edu\/tianlab\/files\/2019\/09\/3DSeg.png 1591w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><\/p>\n<ul>\n<li><span><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11226\/1122611\/A-generalizable-deep-learning-approach-to-anatomical-modeling-of-brain\/10.1117\/12.2543864.full?_ga=2.66940078.1482210015.1587238932-1642732384.1524842084\"><strong>A generalizable deep-learning approach to anatomical modeling of brain vasculature<\/strong><\/a>,\u00a0SPIE BiOS, 2020.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Reliable deep learning for quantitative biomedical imaging Deep learning based phase imaging with uncertainty quantification, ISBI 2020 Towards scalable and reliable deep learning based phase microscopy using intensity-only measurements, SPIE BiOS 2020 Towards reliable deep learning based phase microscopy,\u00a0SPIE BiOS 2020 Learning approach to computational microscopy,\u00a0SPIE BiOS 2019 A deep learning approach to high space-bandwidth [&hellip;]<\/p>\n","protected":false},"author":12228,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages\/1323"}],"collection":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/users\/12228"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/comments?post=1323"}],"version-history":[{"count":26,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages\/1323\/revisions"}],"predecessor-version":[{"id":1660,"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/pages\/1323\/revisions\/1660"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/tianlab\/wp-json\/wp\/v2\/media?parent=1323"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}