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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Dear Colleagues,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">A reminder for the upcoming deadline on May 1<sup>st</sup>, for the JMI Special Issue on “Radiomics and Deep Learning”.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">We anticipate that this will be a highly cited issue, and very much encourage related submissions.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D">Thank you,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#17365D">Despina<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">From:</span></b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif""> Journal of Medical Imaging
<a href="mailto:[mailto:Journal-of-Medical-Imaging@reply.spie.org]">[mailto:Journal-of-Medical-Imaging@reply.spie.org]</a>
<br>
<b>Sent:</b> Friday, February 24, 2017 12:27 PM<br>
<b>To:</b> Kontos, Despina<br>
<b>Subject:</b> Seeking submissions for a special section on Radiomics and Deep Learning<o:p></o:p></span></p>
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:7.5pt;font-family:"Verdana","sans-serif";color:#444444"><a href="http://click.reply.spie.org/?qs=08b3ba540f1fa2d56e90b6a4ba65b0e646188e6b3800c0a972a837c49f6239f6d4bb77a18a3fe5d45a50cb5efd069195dcbee99b9e21d3f0">View
 as web page</a> </span><o:p></o:p></p>
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<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center"><span style="font-size:10.0pt;font-family:"Verdana","sans-serif""><a href="http://click.reply.spie.org/?qs=08b3ba540f1fa2d5ad389587807e57e1cef2d6a644e342b92a7e8a0c60b9ab3f98d41942aba1d2d70cadad0d13df899ca93f3cd3160b917a" title="Journal of Medical Imaging"><span style="text-decoration:none"><img border="0" width="600" height="90" id="image-placeholder" src="http://image.reply.spie.org/lib/fef81c73776101/m/3/jmi-call-email-hdr.jpg" alt="Journal of Medical Imaging"></span></a><o:p></o:p></span></p>
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<p><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Dear Despina Kontos,
<o:p></o:p></span></p>
<p><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">The <em><span style="font-family:"Verdana","sans-serif";color:black">Journal of Medical Imaging </span></em>is seeking submissions for a
<a href="http://click.reply.spie.org/?qs=08b3ba540f1fa2d5d51f99dc18b5724720937815efc6130b6a610a9c147ee0865b021af25cfcc259485925fd95eec22b66d1c480104349d3" title="Radiomics and Deep Learning">
Special Section on Radiomics and Deep Learning</a>, guest edited by Despina Kontos (The University of Pennsylvania), Ronald M. Summers (National Institutes of Health), and Maryellen Giger (The University of Chicago). <o:p></o:p></span></p>
<p><strong><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">The submission deadline is 1 May 2017.</span></strong><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">
<o:p></o:p></span></p>
<p><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Over the past decades, advances in imaging analytics from computer-aided diagnosis and quantitative imaging have provided the ability to extract clinically useful quantitative measures from
 medical imaging data with the goal to augment diagnostic interpretation. These imaging analytics, fueled by additional technological advances in computational resources, are now offering an unprecedented opportunity to rapidly extract and process vast amounts
 of information (i.e., radiomics) from medical images. Such information, especially when coupled with other biomedical data and high-dimensional machine learning tools, can not only yield methods for ultimate use in clinical decision making, but also contribute
 to discovery, offering new insights into genetic traits and molecular subtyping of disease, particularly in cancer, that can be used as precision medicine imaging biomarkers of disease prognosis and response to treatment.<o:p></o:p></span></p>
<p><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">This special section of the
<em><span style="font-family:"Verdana","sans-serif"">Journal of Medical Imaging</span></em> seeks contributions in the form of research articles on the subject of radiomics and deep learning that highlight a wide spectrum of research areas including, but not
 limited to:<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">quantitative image analysis<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">high-dimensional feature extraction<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">convolutional neural networks and deep learning<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">computer-assisted diagnosis and prognosis<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">machine learning and classification<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">imaging genomics (radiogenomics).<o:p></o:p></span></li></ul>
<p><span style="font-size:10.0pt;font-family:"Verdana","sans-serif""><a href="http://click.reply.spie.org/?qs=08b3ba540f1fa2d57c83ebc15a5cd70c5cd9d18c46960c7123d3d80d50d914d4c8312029043aef63187e4792a2d908e0f9b40b5dcba3ba30" title="See the full call for papers">See
 the full call for papers</a> <o:p></o:p></span></p>
<p><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Manuscripts should be submitted to SPIE according to the
<a href="http://click.reply.spie.org/?qs=08b3ba540f1fa2d5d00761a2909b04c8773eb34c4db4e358910111068f9b723a33ca41ed218437edfb3cb69b40aa06f1a49019987483b132" title="journal guidelines">
journal guidelines</a> with a cover letter indicating that the submission is intended for this special section. SPIE publication policy permits manuscripts based partly or entirely on scientific content previously reported in SPIE proceedings to be submitted.
 In most cases, it is anticipated that the journal submission will represent a substantively expanded, refined, or otherwise revised manuscript to fully satisfy the journal's standards of significance, originality, and presentation quality, which will be assessed
 by a formal peer review process. <o:p></o:p></span></p>
<p><span style="font-size:10.0pt;font-family:"Verdana","sans-serif";color:black">The
<em><span style="font-family:"Verdana","sans-serif"">Journal of Medical Imaging</span></em> is published in the SPIE Digital Library, with freely searchable abstracts and tables of contents; articles are available via subscription or pay-per-view. Articles
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