[an error occurred while processing this directive]<meta name="keywords" content="Department of Computer Science, publications, by personal, Julia Camps"></meta><meta name="description" content="Publications, by personal, Department of Computer Science, Oxford, Julia Camps"></meta><title>Department of Computer Science, University of Oxford: Julia Camps : Publications
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			</style>[an error occurred while processing this directive]<div class="content-width"><ol class="breadcrumb text-uppercase"><li><a href="/">Home</a></li><li><a href="/aboutus/">About Us</a></li><li><a href="/people/">People</a></li><li><a href="/people/research.html">Research</a></li><li><a href="/people/Julia.Camps"><span itemprop="name">Julia Camps</span></a></li><li class="active">Publications</li></ol></div><!-- MOBILE NAVIGATION --><div class="content-width space-below mobile-menu-placeholder visible-xs visible-sm"></div><!-- COLUMNS --><div class="container-fluid content-width"><div class="row"><div class="col-xs-12 col-md-9 col-md-push-3" id="maincontent"><!-- CONTENT (Column 2) --><div class="page-title"><h1>Julia Camps : Publications
</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/people/publications/personal/Julia.Camps.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> Personal ordering</a><a href="/people/publications/bibtex/Julia.Camps.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><p></p><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation </strong> </p>
	    <p class="publicationAuthors"> <em> Julia Camps&#x201a; Zhinuo Jenny Wang&#x201a; Ruben Doste&#x201a; Maxx Holmes&#x201a; Brodie Lawson&#x201a; Jakub Tomek&#x201a; Kevin Burrage&#x201a; Alfonso Bueno&#x2212;Orovio and Blanca Rodriguez  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>arXiv</em>.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16197-abstract.html">
			Details <span class="sr-only" > about <em> Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation  </em></span> </a> |
			<a href="/publications/publication16197.bib">
			BibTeX  <span class="sr-only" > data for <em> Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/10.48550/arXiv.2401.10029">
		DOI (10.48550/arXiv.2401.10029)
		</a> 
					| <a href="https://github.com/juliacamps/Cardiac-Digital-Twin"> Link <span class="sr-only" > to <em> Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Digital Twinning of the Human Ventricular Activation Sequence to Clinical 12&#x2212;lead ECGs and Magnetic Resonance Imaging Using Realistic Purkinje Networks for in Silico Clinical Trials </strong> </p>
	    <p class="publicationAuthors"> <em> Julia Camps&#x201a; Lucas Arantes Berg&#x201a; Zhinuo Jenny Wang&#x201a; Rafael Sebastian&#x201a; Leto Luana Riebel&#x201a; Ruben Doste&#x201a; Xin Zhou&#x201a; Rafael Sachetto&#x201a; James Coleman&#x201a; Brodie Lawson&#x201a; Vicente Grau&#x201a; Kevin Burrage&#x201a; Alfonso Bueno&#x2212;Orovio&#x201a; Rodrigo Weber and Blanca Rodriguez  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>arXiv</em>.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16198-abstract.html">
			Details <span class="sr-only" > about <em> Digital Twinning of the Human Ventricular Activation Sequence to Clinical 12&#x2212;lead ECGs and Magnetic Resonance Imaging Using Realistic Purkinje Networks for in Silico Clinical Trials  </em></span> </a> |
			<a href="/publications/publication16198.bib">
			BibTeX  <span class="sr-only" > data for <em> Digital Twinning of the Human Ventricular Activation Sequence to Clinical 12&#x2212;lead ECGs and Magnetic Resonance Imaging Using Realistic Purkinje Networks for in Silico Clinical Trials  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/10.48550/arXiv.2306.13740">
		DOI (10.48550/arXiv.2306.13740)
		</a> 
					| <a href="https://github.com/juliacamps/Cardiac-Digital-Twin-Purkinje"> Link <span class="sr-only" > to <em> Digital Twinning of the Human Ventricular Activation Sequence to Clinical 12&#x2212;lead ECGs and Magnetic Resonance Imaging Using Realistic Purkinje Networks for in Silico Clinical Trials  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Inference of ventricular activation properties from non&#x2212;invasive electrocardiography </strong> </p>
	    <p class="publicationAuthors"> <em> Julia Camps&#x201a; Brodie Lawson&#x201a; Christopher Drovandi&#x201a; Ana Minchole&#x201a; Zhinuo Jenny Wang&#x201a; Vicente Grau&#x201a; Kevin Burrage and Blanca Rodriguez  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Medical Image Analysis</em>.
        
            Vol. 73.
        
                Pages 102143.
            October,
            2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14713-abstract.html">
			Details <span class="sr-only" > about <em> Inference of ventricular activation properties from non&#x2212;invasive electrocardiography  </em></span> </a> |
			<a href="/publications/publication14713.bib">
			BibTeX  <span class="sr-only" > data for <em> Inference of ventricular activation properties from non&#x2212;invasive electrocardiography  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/10.1016/j.media.2021.102143">
		DOI (10.1016/j.media.2021.102143)
		</a> 
					| <a href="https://github.com/juliacamps/Inference-of-healthy-ventricular-activation-properties"> Link <span class="sr-only" > to <em> Inference of ventricular activation properties from non&#x2212;invasive electrocardiography  </em></span> </a>
  				
		
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