{"id":2404,"date":"2024-03-30T22:42:55","date_gmt":"2024-03-30T22:42:55","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/jacob-lamframboise\/"},"modified":"2024-03-30T22:42:55","modified_gmt":"2024-03-30T22:42:55","slug":"jacob-lamframboise","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/jacob-lamframboise\/","title":{"rendered":"Jacob Lamframboise"},"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>Jacob Lamframboise<\/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>2018<\/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\tJacob started with us as high school intern, and later was as undergraduate researcher at the Perk Lab. Jacob is studying Computing with a Focus in Artificial Intelligence and a Minor in Mathematics in the School of Computing. he was also the lab&#8217;s Outreach Manager.<br \/>\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\"> Barr, Keiran;  Laframboise, Jacob;  Ungi, Tamas;  Hookey, Lawrence;  Fichtinger, Gabor<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1117\/12.2549749\" title=\"Automated segmentation of computed tomography colonography images using a 3D U-Net\" target=\"blank\">Automated segmentation of computed tomography colonography images using a 3D U-Net<\/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_46\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('46','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_46\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('46','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_46\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{KBarr2020,<br \/>\r\ntitle = {Automated segmentation of computed tomography colonography images using a 3D U-Net},<br \/>\r\nauthor = {Keiran Barr and Jacob Laframboise and Tamas Ungi and Lawrence Hookey and Gabor Fichtinger},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1117\/12.2549749},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-03-01},<br \/>\r\nurldate = {2020-03-01},<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('46','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_46\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1117\/12.2549749\" title=\"Follow DOI:https:\/\/doi.org\/10.1117\/12.2549749\" target=\"_blank\">doi:https:\/\/doi.org\/10.1117\/12.2549749<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('46','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\"> Laframboise, Jacob;  Ungi, Tamas;  Sunderland, Kyle R.;  Zevin, Boris;  Fichtinger, Gabor<\/p><p class=\"tp_pub_title\">Open source platform for automated collection of training data to support video-based feedback in surgical simulators <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_publisher\">SPIE, <\/span><span class=\"tp_pub_additional_address\">Houston, United States, <\/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_51\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('51','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_51\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('51','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_51\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Laframboise2020a,<br \/>\r\ntitle = {Open source platform for automated collection of training data to support video-based feedback in surgical simulators},<br \/>\r\nauthor = {Jacob Laframboise and Tamas Ungi and Kyle R. Sunderland and Boris Zevin and Gabor Fichtinger},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nurldate = {2020-01-01},<br \/>\r\nbooktitle = {SPIE Medical Imaging},<br \/>\r\npublisher = {SPIE},<br \/>\r\naddress = {Houston, United States},<br \/>\r\nabstract = {&lt;p&gt;&lt;strong&gt;Purpose:&lt;\/strong&gt; Surgical training could be improved by automatic detection of workflow steps. A platform to collect and organize tracking and video data would enable rapid development of deep learning solutions for surgical training. The purpose of this research is to demonstrate 3D Slicer \/ PLUS Toolkit as a platform for video annotation by identifying and annotating tools interacting with tissues in simulated hernia repair. &lt;strong&gt;Methods:&lt;\/strong&gt; Tracking data from an optical tracker and video data from a camera are collected by PLUS and 3D Slicer. To demonstrate the platform in use, we identify tissues during a surgical procedure using a neural network. The tracking data is used to identify what tool is in use. The solution is deployed with a custom Slicer module. &lt;strong&gt;Results:&lt;\/strong&gt; This platform allowed the collection and storage of enough tracked video data for training a convolutional neural network (CNN) to detect interactions with tissues and tools. The CNN was trained on this data and applied to new data with a testing accuracy of 98%. The model\u2019s predictions can be weighted over several frames with a custom Slicer module to improve accuracy. &lt;strong&gt;Conclusion:&lt;\/strong&gt; We found the 3D Slicer and PLUS Toolkit platform to be a viable platform for training and deploying a solution that combines automatic video processing and optical tool tracking. We designed a proof of concept model to identify tissues with a trained CNN in real time along with tracking of surgical tools.&lt;\/p&gt;},<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('51','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_51\" style=\"display:none;\"><div class=\"tp_abstract_entry\">&lt;p&gt;&lt;strong&gt;Purpose:&lt;\/strong&gt; Surgical training could be improved by automatic detection of workflow steps. A platform to collect and organize tracking and video data would enable rapid development of deep learning solutions for surgical training. The purpose of this research is to demonstrate 3D Slicer \/ PLUS Toolkit as a platform for video annotation by identifying and annotating tools interacting with tissues in simulated hernia repair. &lt;strong&gt;Methods:&lt;\/strong&gt; Tracking data from an optical tracker and video data from a camera are collected by PLUS and 3D Slicer. To demonstrate the platform in use, we identify tissues during a surgical procedure using a neural network. The tracking data is used to identify what tool is in use. The solution is deployed with a custom Slicer module. &lt;strong&gt;Results:&lt;\/strong&gt; This platform allowed the collection and storage of enough tracked video data for training a convolutional neural network (CNN) to detect interactions with tissues and tools. The CNN was trained on this data and applied to new data with a testing accuracy of 98%. The model\u2019s predictions can be weighted over several frames with a custom Slicer module to improve accuracy. &lt;strong&gt;Conclusion:&lt;\/strong&gt; We found the 3D Slicer and PLUS Toolkit platform to be a viable platform for training and deploying a solution that combines automatic video processing and optical tool tracking. We designed a proof of concept model to identify tissues with a trained CNN in real time along with tracking of surgical tools.&lt;\/p&gt;<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('51','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Laframboise, Jacob;  Ungi, Tamas;  Sunderland, Kyle;  Zevin, Boris;  Fichtinger, Gabor<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131517\/Open-source-platform-for-automated-collection-of-training-data-to\/10.1117\/12.2549878.short\" title=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131517\/Open-source-platform-for-automated-collection-of-training-data-to\/10.1117\/12.2549878.short\" target=\"blank\">Open-source platform for automated collection of training data to support video-based feedback in surgical simulators<\/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. 317-323, <\/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_953\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('953','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_953\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('953','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_953\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('953','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_953\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{fichtinger2020p,<br \/>\r\ntitle = {Open-source platform for automated collection of training data to support video-based feedback in surgical simulators},<br \/>\r\nauthor = {Jacob Laframboise and Tamas Ungi and Kyle Sunderland and Boris Zevin and Gabor Fichtinger},<br \/>\r\nurl = {https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131517\/Open-source-platform-for-automated-collection-of-training-data-to\/10.1117\/12.2549878.short},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nvolume = {11315},<br \/>\r\npages = {317-323},<br \/>\r\npublisher = {SPIE},<br \/>\r\nabstract = {Purpose <br \/>\r\nSurgical training could be improved by automatic detection of workflow steps, and similar applications of image processing. A platform to collect and organize tracking and video data would enable rapid development of image processing solutions for surgical training. The purpose of this research is to demonstrate 3D Slicer \/ PLUS Toolkit as a platform for automatic labelled data collection and model deployment. <br \/>\r\nMethods <br \/>\r\nWe use PLUS and 3D Slicer to collect a labelled dataset of tools interacting with tissues in simulated hernia repair, comprised of optical tracking data and video data from a camera. To demonstrate the platform, we train a neural network on this data to automatically identify tissues, and the tracking data is used to identify what tool is in use. The solution is deployed with a custom Slicer module. <br \/>\r\nResults <br \/>\r\nThis platform allowed the collection of 128,548 labelled frames, with 98.5% correctly \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('953','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_953\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Purpose <br \/>\r\nSurgical training could be improved by automatic detection of workflow steps, and similar applications of image processing. A platform to collect and organize tracking and video data would enable rapid development of image processing solutions for surgical training. The purpose of this research is to demonstrate 3D Slicer \/ PLUS Toolkit as a platform for automatic labelled data collection and model deployment. <br \/>\r\nMethods <br \/>\r\nWe use PLUS and 3D Slicer to collect a labelled dataset of tools interacting with tissues in simulated hernia repair, comprised of optical tracking data and video data from a camera. To demonstrate the platform, we train a neural network on this data to automatically identify tissues, and the tracking data is used to identify what tool is in use. The solution is deployed with a custom Slicer module. <br \/>\r\nResults <br \/>\r\nThis platform allowed the collection of 128,548 labelled frames, with 98.5% correctly \u2026<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('953','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_953\" 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\/1131517\/Open-source-platform-for-automated-collection-of-training-data-to\/10.1117\/12.2549878.short\" title=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131517\/[...]\" target=\"_blank\">https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/11315\/1131517\/[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('953','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\"> Laframboise, Jacob;  Ungi, Tamas;  Lasso, Andras;  Asselin, Mark;  Holden, M.;  Tan, Pearl;  Hookey, Lawrence;  Fichtinger, Gabor<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" href=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframboise2019a.pdf\" title=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframboise2019a.pdf\" target=\"blank\">Analyzing the curvature of the colon in different patient positions<\/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 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, <\/span><span class=\"tp_pub_additional_volume\">vol. 10951, <\/span><span class=\"tp_pub_additional_address\">San Diego, California, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_61\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('61','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_61\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('61','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_61\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Laframboise2019a,<br \/>\r\ntitle = {Analyzing the curvature of the colon in different patient positions},<br \/>\r\nauthor = {Jacob Laframboise and Tamas Ungi and Andras Lasso and Mark Asselin and M. Holden and Pearl Tan and Lawrence Hookey and Gabor Fichtinger},<br \/>\r\nurl = {https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframboise2019a.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-03-01},<br \/>\r\nurldate = {2019-03-01},<br \/>\r\nbooktitle = {SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling},<br \/>\r\nvolume = {10951},<br \/>\r\naddress = {San Diego, California},<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('61','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_61\" 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\/Laframboise2019a.pdf\" title=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframbois[...]\" target=\"_blank\">https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframbois[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('61','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\"> Laframboise, Jacob;  Ungi, Tamas;  Lasso, Andras;  Asselin, Mark;  Holden, M.;  Tan, Pearl;  Hookey, Lawrence;  Fichtinger, Gabor<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" href=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframboise2019b.pdf\" title=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframboise2019b.pdf\" target=\"blank\">Quantifying the effect of patient position on the curvature of colons<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">17th Annual Imaging Network Ontario Symposium (ImNO), <\/span><span class=\"tp_pub_additional_publisher\">Imaging Network Ontario (ImNO), <\/span><span class=\"tp_pub_additional_address\">London, Ontario, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_77\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('77','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_77\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('77','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_77\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Laframboise2019b,<br \/>\r\ntitle = {Quantifying the effect of patient position on the curvature of colons},<br \/>\r\nauthor = {Jacob Laframboise and Tamas Ungi and Andras Lasso and Mark Asselin and M. Holden and Pearl Tan and Lawrence Hookey and Gabor Fichtinger},<br \/>\r\nurl = {https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframboise2019b.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\nurldate = {2019-01-01},<br \/>\r\nbooktitle = {17th Annual Imaging Network Ontario Symposium (ImNO)},<br \/>\r\npublisher = {Imaging Network Ontario (ImNO)},<br \/>\r\naddress = {London, Ontario},<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('77','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_77\" 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\/Laframboise2019b.pdf\" title=\"https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframbois[...]\" target=\"_blank\">https:\/\/labs.cs.queensu.ca\/perklab\/wp-content\/uploads\/sites\/3\/2024\/02\/Laframbois[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('77','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div>\n<\/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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