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	<title>Amy Tai &#8211; VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP</title>
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		<title>Amy Tai</title>
		<link>https://vip.uwaterloo.ca/amy-tai/</link>
		
		<dc:creator><![CDATA[Amy Tai]]></dc:creator>
		<pubDate>Sun, 09 Feb 2025 01:06:08 +0000</pubDate>
				<category><![CDATA[Alexander Wong]]></category>
		<category><![CDATA[Biomedical Imaging]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Correlated Diffusion Imaging]]></category>
		<category><![CDATA[Current Students]]></category>
		<category><![CDATA[Image Segmentation/Classification]]></category>
		<category><![CDATA[Ph.D.]]></category>
		<category><![CDATA[Skin Cancer Detection]]></category>
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					<description><![CDATA[Amy Tai is a PhD student in the Vision and Image Processing Lab at the University of Waterloo. She is in the Computer Science program and supervised by Alexander Wong and Lukasz Golab. Her research focuses on the cancer domain with focus on medical imaging and computer vision. Previously, she completed her Master of Applied Sciences in the Systems Design Engineering program and her Bachelor of Applied Science in Management Engineering at the University of Waterloo. Outside of research, she enjoys playing squash, travelling, hiking, and swimming.]]></description>
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<p>Amy Tai is a PhD student in the Vision and Image Processing Lab at the University of Waterloo. She is in the Computer Science program and supervised by Alexander Wong and Lukasz Golab. Her research focuses on the cancer domain with focus on medical imaging and computer vision. Previously, she completed her Master of Applied Sciences in the Systems Design Engineering program and her Bachelor of Applied Science in Management Engineering at the University of Waterloo. Outside of research, she enjoys playing squash, travelling, hiking, and swimming. </p>



<p><strong>LinkedIn</strong>: <a href="https://ca.linkedin.com/in/amy-tai">https://ca.linkedin.com/in/amy-tai</a></p>


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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research interests</div>Amy&#8217;s research areas include medical image analysis, personalized nutrition intervention for the aging population, and improved rendering of 3D models. As a lead on the Cancer-Net initiatives, she is focused on providing open-sourced datasets and pre-trained models for the task of cancer diagnosis and prognosis, and nutritional intake estimation, respectively. In general, Amy is interested in medical research that leverages technological advancements to improve healthcare for all.</div>

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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research topics</div><a href=https://vip.uwaterloo.ca/biomedical-imaging/>Biomedical Imaging</a><br><a href=https://vip.uwaterloo.ca/computer-vision/>Computer Vision</a><br><a href=https://vip.uwaterloo.ca/image-segmentation-classification/>Image Segmentation/Classification</a><br><link rel='stylesheet' href='https://fonts.googleapis.com/css?family=Source+Serif+Pro'>
  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research demos</div><a href=https://vip.uwaterloo.ca/correlated-diffusion-imaging/>Correlated Diffusion Imaging</a><br><a href=https://vip.uwaterloo.ca/skin-cancer-detection/>Skin Cancer Detection</a><br></div>

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			</item>
		<item>
		<title>Chi-en (Amy) Tai</title>
		<link>https://vip.uwaterloo.ca/c-tai/</link>
		
		<dc:creator><![CDATA[Amy Tai]]></dc:creator>
		<pubDate>Sun, 07 May 2023 17:28:05 +0000</pubDate>
				<category><![CDATA[Alexander Wong]]></category>
		<category><![CDATA[Alumni]]></category>
		<category><![CDATA[Biomedical Imaging]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Correlated Diffusion Imaging]]></category>
		<category><![CDATA[Image Segmentation/Classification]]></category>
		<category><![CDATA[M.A.Sc.]]></category>
		<category><![CDATA[Skin Cancer Detection]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://vip.uwaterloo.ca/?p=3325</guid>

					<description><![CDATA[Chi-en (Amy) Tai is a Master of Applied Science student in Systems Design Engineering, supervised by Professor Alexander Wong. She is part of the Cancer-Net initiative focused on cancer diagnosis and prognosis using medical imaging and computer vision. She is also part of the NutritionVerse initiative centered around personalized nutrition intervention and intake estimation.]]></description>
										<content:encoded><![CDATA[
<p>Amy Tai is a Master of Applied Science student in the Vision and Image Processing Lab at the University of Waterloo. She is in the Systems Design Engineering program and supervised by Professor Alexander Wong. Her research focuses on cancer diagnosis and prognosis using medical imaging and computer vision. Previously, she completed her Bachelor of Applied Science in Management Engineering at the University of Waterloo. Outside of research, she enjoys hiking, travelling, rock climbing, playing squash, and swimming.</p>



<p><strong>LinkedIn</strong>: <a href="https://ca.linkedin.com/in/amy-tai">https://ca.linkedin.com/in/amy-tai</a></p>


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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Supervisors</div><a href=https://vip.uwaterloo.ca/a-wong/>Alexander Wong</a></div>

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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research interests</div>Amy&#8217;s research areas include medical image analysis, personalized nutrition intervention for the aging population, and improved rendering of 3D models. As a collaborator on the Cancer-Net and NutritionVerse initiatives, she is focused on providing open-sourced datasets and pre-trained models for the task of cancer diagnosis and prognosis, and nutritional intake estimation, respectively. In general, Amy is interested in medical research that leverages technological advancements to improve healthcare for all.</div>

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  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research topics</div><a href=https://vip.uwaterloo.ca/biomedical-imaging/>Biomedical Imaging</a><br><a href=https://vip.uwaterloo.ca/computer-vision/>Computer Vision</a><br><a href=https://vip.uwaterloo.ca/image-segmentation-classification/>Image Segmentation/Classification</a><br><link rel='stylesheet' href='https://fonts.googleapis.com/css?family=Source+Serif+Pro'>
  <div style='margin-bottom: 0.6rem; font-family: Source Serif Pro, Georgia, Times New Roman, serif; font-size: 3rem; font-weight: bold;'>Research demos</div><a href=https://vip.uwaterloo.ca/correlated-diffusion-imaging/>Correlated Diffusion Imaging</a><br><a href=https://vip.uwaterloo.ca/skin-cancer-detection/>Skin Cancer Detection</a><br></div>

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                                    let authorLink = "";
                                    let authorsLC = authors[j].toLowerCase();
                                    if(j == lastIndex)
                                    {
                                        if(authorsLC.includes("."))
                                        {  
                                            authorLink += authorsLC.charAt(authorsLC.indexOf(".") - 1);
                                            authorLink += "-";
                                            authorLink += authorsLC.slice(0, authorsLC.indexOf(" "));
                                        }
                                        else
                                        {
                                            authorLink += authorsLC.charAt(authorsLC.length - 1);
                                            authorLink += "-";
                                            authorLink += authorsLC.slice(0, authorsLC.indexOf(" "));
                                        }
                                        
                                    }
                                    else
                                    {
                                        authorLink += authorsLC.charAt(authorsLC.indexOf(".") - 1);
                                        authorLink += "-";
                                        authorLink += authorsLC.slice(0, authorsLC.indexOf(" "));
                                        
                                    }
                                    authorLink = 'https://vip.uwaterloo.ca/' + authorLink;
                                    if(j != lastIndex)
                                    {
                                        publication += `<a href='${authorLink}' target='_blank'>${authors[j]}</a>` + ", ";
                                    }
                                    else 
                                    {
                                        publication += "and " + `<a href='${authorLink}' target='_blank'>${authors[j]}</a>`;
                                    }
                                }

                                publication += ', "';
                                
                                publication += value.rows[i].title;
                                
                                publication += '", ';
                                publication += value.rows[i].pub_name;
                                if (!isConference(value.rows[i]))
                                {
                                    publication += ", vol. ";
                                    publication += value.rows[i].volume;
                                    publication += ", ";
                                }
                                if (value.rows[i].page_range != "" && !isConference(value.rows[i]))
                                {
                                    publication += "pp. ";
                                    publication += value.rows[i].page_range;
                                    publication += ", ";
                                }
                                else if(isConference(value.rows[i]))
                                {
                                    publication += ", ";
                                }
                                publication += value.rows[i].year;
                                publication += ". ";
                                publication += `<a href="#" onclick="generateLink(this, '${value.rows[i].title}');event.preventDefault();">Get it here.</a>`;
                                
                                publication += "\n\n";
                                if (isConference(value.rows[i]))
                                {
                                    pubListConference += publication;
                                }
                                else
                                {
                                      pubListJournals += publication;
                                }
                                }
                            }
                document.getElementById('pubDataJournals').innerHTML = pubListJournals;
                document.getElementById('pubDataConference').innerHTML = pubListConference;
                if(pubListConference == "")
                {
                   document.getElementById('conferencePapers').style.display = "none";
                }
                if(pubListJournals == "")
                {
                  document.getElementById('journalArticles').style.display = "none";
                }
            },
            function(error) {document.getElementById('pubDataJournals').innerHTML = "Error retrieving data.";}
        )
    }

   
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