{"id":2450,"date":"2024-05-03T19:28:48","date_gmt":"2024-05-03T19:28:48","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/abigael-schoewille\/"},"modified":"2024-05-03T19:28:48","modified_gmt":"2024-05-03T19:28:48","slug":"abigael-schoewille","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/abigael-schoewille\/","title":{"rendered":"Abigael Schoewille"},"content":{"rendered":"<div class=\"wp-block-columns is-layout-flex wp-block-columns-is-layout-flex qsc-member-single-core-info-container\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow qsc-member-single-photo-column\">\n\t\t<img decoding=\"async\" src=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/plugins\/qsc-members\/\/images\/missing-image-placeholder.png\" class=\"qsc-member-single-photo\"\/>\n\t<\/div>\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow qsc-member-single-info-column\">\n<div class=\"qsc-member-name\">\n<h1>Abigael Schoewille<\/h1>\n<\/div>\n<div class=\"qsc-member-position\">Undergraduate Student<\/div>\n<div class=\"qsc-member-department\">School of Computing<\/div>\n<div class=\"qsc-member-organization\">Queen&#8217;s University<\/div>\n<div class=\"qsc-member-date-range\">Member from <em>2019<\/em> to <em>present<\/em><\/div>\n<div class=\"qsc-member-contact\">\n<div class=\"qsc-member-socials\">\n\t\t\t<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<div class=\"qsc-member-bio\">\n<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Wu, Victoria;  Ungi, Tamas;  Sunderland, Kyle R.;  Pigeau, Grace;  Schonewille, Abigael;  Fichtinger, Gabor<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" href=\"https:\/\/dx.doi.org\/10.1117\/12.2549584\" title=\"Automatic segmentation of spinal ultrasound landmarks with U-net using multiple consecutive images for input\" target=\"blank\">Automatic segmentation of spinal ultrasound landmarks with U-net using multiple consecutive images for input<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">SPIE Medical Imaging, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_47\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('47','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_47\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('47','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_47\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Wu2020a,<br \/>\r\ntitle = {Automatic segmentation of spinal ultrasound landmarks with U-net using multiple consecutive images for input},<br \/>\r\nauthor = {Victoria Wu and Tamas Ungi and Kyle R. Sunderland and Grace Pigeau and Abigael Schonewille and Gabor Fichtinger},<br \/>\r\nurl = {https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/CWu2020a-manuscript.pdf},<br \/>\r\ndoi = {10.1117\/12.2549584},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nurldate = {2020-01-01},<br \/>\r\nbooktitle = {SPIE Medical Imaging},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('47','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_47\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/CWu2020a-manuscript.pdf\" title=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/CWu2020a-m[...]\" target=\"_blank\">https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/CWu2020a-m[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1117\/12.2549584\" title=\"Follow DOI:10.1117\/12.2549584\" target=\"_blank\">doi:10.1117\/12.2549584<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('47','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Wu, Victoria;  Ungi, Tamas;  Sunderland, Kyle R.;  Pigeau, Grace;  Schonewille, Abigael;  Fichtinger, Gabor<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" href=\"https:\/\/www.imno.ca\/sites\/default\/files\/ImNO2020Proceedings.pdf\" title=\"https:\/\/www.imno.ca\/sites\/default\/files\/ImNO2020Proceedings.pdf\" target=\"blank\">Using multiple frame U-net for automated segmentation of spinal ultrasound images<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">18th Annual Imaging Network Ontario (ImNO) Symposium, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_59\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('59','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_59\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('59','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_59\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Wu2020b,<br \/>\r\ntitle = {Using multiple frame U-net for automated segmentation of spinal ultrasound images},<br \/>\r\nauthor = {Victoria Wu and Tamas Ungi and Kyle R. Sunderland and Grace Pigeau and Abigael Schonewille and Gabor Fichtinger},<br \/>\r\nurl = {https:\/\/www.imno.ca\/sites\/default\/files\/ImNO2020Proceedings.pdf<br \/>\r\nhttps:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Wu2020b.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nurldate = {2020-01-01},<br \/>\r\nbooktitle = {18th Annual Imaging Network Ontario (ImNO) Symposium},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('59','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_59\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.imno.ca\/sites\/default\/files\/ImNO2020Proceedings.pdf\" title=\"https:\/\/www.imno.ca\/sites\/default\/files\/ImNO2020Proceedings.pdf\" target=\"_blank\">https:\/\/www.imno.ca\/sites\/default\/files\/ImNO2020Proceedings.pdf<\/a><\/li><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Wu2020b.pdf\" title=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Wu2020b.pd[...]\" target=\"_blank\">https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Wu2020b.pd[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('59','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Pigeau, Grace;  Elbatarny, Lydia;  Wu, Victoria;  Schonewille, Abigael;  Fichtinger, Gabor;  Ungi, Tamas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131508\/Ultrasound-image-simulation-with-generative-adversarial-network\/10.1117\/12.2549592.short\" title=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131508\/Ultrasound-image-simulation-with-generative-adversarial-network\/10.1117\/12.2549592.short\" target=\"blank\">Ultrasound image simulation with generative adversarial network<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_volume\">vol. 11315, <\/span><span class=\"tp_pub_additional_pages\">pp. 54-60, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_857\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('857','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_857\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('857','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_857\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('857','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_857\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{fichtinger2020g,<br \/>\r\ntitle = {Ultrasound image simulation with generative adversarial network},<br \/>\r\nauthor = {Grace Pigeau and Lydia Elbatarny and Victoria Wu and Abigael Schonewille and Gabor Fichtinger and Tamas Ungi},<br \/>\r\nurl = {https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131508\/Ultrasound-image-simulation-with-generative-adversarial-network\/10.1117\/12.2549592.short},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nvolume = {11315},<br \/>\r\npages = {54-60},<br \/>\r\npublisher = {SPIE},<br \/>\r\nabstract = {PURPOSE <br \/>\r\nIt is difficult to simulate realistic ultrasound images due to the complexity of acoustic artifacts that contribute to a real ultrasound image. We propose to evaluate the realism of ultrasound images simulated using a generative adversarial network. <br \/>\r\nMETHODS <br \/>\r\nTo achieve our goal, kidney ultrasounds were collected, and relevant anatomy was segmented to create anatomical label-maps using 3D Slicer. Adversarial networks were trained to generate ultrasound images from these labelmaps. Finally, a two-part survey of 4 participants with sonography experience was conducted to assess the realism of the generated images. The first part of the survey consisted of 50 kidney ultrasound images; half of which were real while the other half were simulated. Participants were asked to label each of the 50 ultrasound images as either real or simulated. In the second part of the survey, the participants were presented \u2026},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('857','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_857\" style=\"display:none;\"><div class=\"tp_abstract_entry\">PURPOSE <br \/>\r\nIt is difficult to simulate realistic ultrasound images due to the complexity of acoustic artifacts that contribute to a real ultrasound image. We propose to evaluate the realism of ultrasound images simulated using a generative adversarial network. <br \/>\r\nMETHODS <br \/>\r\nTo achieve our goal, kidney ultrasounds were collected, and relevant anatomy was segmented to create anatomical label-maps using 3D Slicer. Adversarial networks were trained to generate ultrasound images from these labelmaps. Finally, a two-part survey of 4 participants with sonography experience was conducted to assess the realism of the generated images. The first part of the survey consisted of 50 kidney ultrasound images; half of which were real while the other half were simulated. Participants were asked to label each of the 50 ultrasound images as either real or simulated. In the second part of the survey, the participants were presented \u2026<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('857','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_857\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131508\/Ultrasound-image-simulation-with-generative-adversarial-network\/10.1117\/12.2549592.short\" title=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131508\/[...]\" target=\"_blank\">https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131508\/[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('857','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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Queen&#8217;s University Member from 2019 to present Wu, Victoria; Ungi, Tamas; Sunderland, Kyle R.; Pigeau, Grace; Schonewille, Abigael; Fichtinger, GaborAutomatic segmentation of spinal ultrasound landmarks with U-net using multiple consecutive images for input Conference SPIE Medical Imaging, 2020.Links | BibTeX@conference{Wu2020a, title = {Automatic segmentation of spinal ultrasound landmarks&hellip;","_links":{"self":[{"href":"https:\/\/labs.cs.queensu.ca\/perklab\/wp-json\/wp\/v2\/qsc_member\/2450","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.cs.queensu.ca\/perklab\/wp-json\/wp\/v2\/qsc_member"}],"about":[{"href":"https:\/\/labs.cs.queensu.ca\/perklab\/wp-json\/wp\/v2\/types\/qsc_member"}],"version-history":[{"count":0,"href":"https:\/\/labs.cs.queensu.ca\/perklab\/wp-json\/wp\/v2\/qsc_member\/2450\/revisions"}],"wp:attachment":[{"href":"https:\/\/labs.cs.queensu.ca\/perklab\/wp-json\/wp\/v2\/media?parent=2450"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}