<div dir="ltr"><div dir="ltr"><div dir="ltr"><h1 style="margin:0cm 0cm 3.6pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:16pt;font-family:Arial,sans-serif;color:rgb(45,49,66);letter-spacing:-0.5pt">Special Issue on “Artificial Intelligence
in Pre-DICOM”<span></span></span></h1>
<p style="margin:0cm;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;max-width:100%"><em style="box-sizing:inherit;word-break:break-word;font-size:inherit;line-height:inherit;text-align:inherit;max-width:100%"><span style="font-family:Arial,sans-serif;color:rgb(45,49,66);border:1pt none windowtext;padding:0cm"><a href="https://www.embs.org/wp-content/uploads/2021/02/Artificial-Intelligence-in-Pre-DICOM.pdf" target="_blank" style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="color:rgb(59,135,179)">Download
Call for Papers (PDF)</span></a></span></em><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)"><span></span></span></p>
<p style="margin:0cm 0cm 12pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;max-width:100%"><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)">Artificial
intelligence (AI) for medical imaging is applied in three domains: pre-DICOM,
pre-processing and clinical applications. Clinical applications mainly cover
topics such as disease detection, classification, segmentation, registration.
Pre-processing components are mainly designed for facilitating applications
using image transformation such as image normalization, noise reduction, bias
correction in MR. AI in the pre-DICOM domain is expected to improve imaging
workflow, image protocol selection, imaging quality, imaging scanning time
before images are converted into DICOM format for radiologists to review. The
trends of AI publications in medical imaging have been gradually extended from
clinical applications to pre-processing and, to pre-DICOM. In this
special issue, we are looking for pre-DICOM innovations driven by AI.<span></span></span></p>
<p style="margin:0cm 0cm 12pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;max-width:100%"><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)">Topics
of interest of this special issue include, but are not limited to, the
following:<span></span></span></p>
<ul type="disc" style="box-sizing:inherit;word-break:break-word;line-height:inherit;margin:4rem 3rem;max-width:100%">
<li class="MsoNormal" style="color:rgb(45,49,66);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;font-size:inherit;margin-top:0.5rem;margin-left:2rem;text-align:inherit;max-width:100%"><span style="font-family:Arial,sans-serif">Pre-imaging:
leverage sensor information to guide the positioning of patients for
proper imaging/scanning<span></span></span></li>
<li class="MsoNormal" style="color:rgb(45,49,66);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;font-size:inherit;margin-top:0.5rem;margin-left:2rem;text-align:inherit;max-width:100%"><span style="font-family:Arial,sans-serif">Automated
protocol selection: based on clinical application and patient
characteristics, automatically select appropriate imaging protocols<span></span></span></li>
<li class="MsoNormal" style="color:rgb(45,49,66);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;font-size:inherit;margin-top:0.5rem;margin-left:2rem;text-align:inherit;max-width:100%"><span style="font-family:Arial,sans-serif">Automated
fine-imaging: based on low quality scan, identify region of interest for
high quality scanning<span></span></span></li>
<li class="MsoNormal" style="color:rgb(45,49,66);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;font-size:inherit;margin-top:0.5rem;margin-left:2rem;text-align:inherit;max-width:100%"><span style="font-family:Arial,sans-serif">Reconstruction:
reconstruct image (e.g. MRI, CT and ultrasound) from raw data acquisition<span></span></span></li>
<li class="MsoNormal" style="color:rgb(45,49,66);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;font-size:inherit;margin-top:0.5rem;margin-left:2rem;text-align:inherit;max-width:100%"><span style="font-family:Arial,sans-serif">Quality
improvement: improve image quality with better signal-to-noise ratio;
enhance the quality of low-cost machine image</span></li></ul><div><font color="#2d3142" face="Arial, sans-serif"><b>Guest Editors:</b></font></div><div><font color="#2d3142" face="Arial, sans-serif"><br></font></div>
<p style="margin:0cm 0cm 12pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><strong><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)">Tao Tan</span></strong><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)"><br style="box-sizing:inherit;word-break:break-word;max-width:100%">
GE Healthcare, the Netherlands<br style="box-sizing:inherit;word-break:break-word;max-width:100%">
<a href="mailto:tao.tan@ge.com" style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="color:rgb(59,135,179)">tao.tan@ge.com</span></a><span></span></span></p>
<p style="margin:0cm 0cm 12pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;max-width:100%"><strong style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)">Ravi Soni</span></strong><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)"><br style="box-sizing:inherit;word-break:break-word;max-width:100%">
GE Healthcare, the United States<br style="box-sizing:inherit;word-break:break-word;max-width:100%">
<a href="mailto:ravi.soni@ge.com" style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="color:rgb(59,135,179)">ravi.soni@ge.com</span></a><span></span></span></p>
<p style="margin:0cm 0cm 12pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;max-width:100%"><strong style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)">Jungong Han</span></strong><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)"><br style="box-sizing:inherit;word-break:break-word;max-width:100%">
Aberystwyth University, the United Kingdom<br style="box-sizing:inherit;word-break:break-word;max-width:100%">
<a href="mailto:jungong.han@aber.ac.uk" style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="color:rgb(59,135,179)">jungong.han@aber.ac.uk</span></a><span></span></span></p>
<p style="margin:0cm 0cm 12pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:inherit;word-break:break-word;max-width:100%"><strong style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)">Shuo Li</span></strong><span style="font-family:Arial,sans-serif;color:rgb(45,49,66)"><br style="box-sizing:inherit;word-break:break-word;max-width:100%">
University of Western Ontario, Canada<br style="box-sizing:inherit;word-break:break-word;max-width:100%">
<a href="mailto:slishuo@gmail.com" style="box-sizing:inherit;word-break:break-word;max-width:100%"><span style="color:rgb(59,135,179)">slishuo@gmail.com</span></a></span></p>
<p class="MsoNormal"><span><b> Key Dates:</b></span></p><p class="MsoNormal"><span><br></span></p>
<strong><span style="font-size:11pt;line-height:107%;font-family:Arial,sans-serif;color:rgb(45,49,66)">Submission deadline:</span></strong><span style="font-size:11pt;line-height:107%;font-family:Arial,sans-serif;color:rgb(45,49,66)"> 31 Aug, 2021<br style="box-sizing:inherit;word-break:break-word;max-width:100%">
<strong style="box-sizing:inherit;word-break:break-word;max-width:100%">First reviews due:</strong> 31
Oct, 2021<br style="box-sizing:inherit;word-break:break-word;max-width:100%">
<strong style="box-sizing:inherit;word-break:break-word;max-width:100%">Revised manuscript due:</strong> 31
Dec, 2021<br style="box-sizing:inherit;word-break:break-word;max-width:100%">
<strong style="box-sizing:inherit;word-break:break-word;max-width:100%">Final decision:</strong> 31
Jan, 2022</span><br><div dir="ltr"><h1 class="gmail-articleHeadingTitle gmail-titleFont" style="box-sizing:inherit;word-break:break-word;border:none;font-size:41px;line-height:1;padding:0px;font-feature-settings:"lnum";font-variant-numeric:lining-nums;letter-spacing:-0.0415625em;max-width:100%;color:rgb(45,49,66);font-family:le-monde-livre-std,serif"></h1></div></div></div></div>