<div dir="ltr"><div class="gmail_quote"><br><br><div dir="ltr"><p class="m_-1494380288942050784separator" style="text-align:center;clear:both"><a href="https://lh3.googleusercontent.com/-ZPFNPh16sR0/Wt39FrXUP-I/AAAAAAAAAaw/3wQunGe20lUopmV_ggfPaDwE9cVAgVzxgCLcBGAs/s1600/image001.jpg" style="margin-left:1em;margin-right:1em" target="_blank"><img src="https://lh3.googleusercontent.com/-ZPFNPh16sR0/Wt39FrXUP-I/AAAAAAAAAaw/3wQunGe20lUopmV_ggfPaDwE9cVAgVzxgCLcBGAs/s1600/image001.jpg" border="0"></a></p><br>
<p class="MsoNormal" style="text-align:center" align="center"><span style="font-family:"Verdana",sans-serif;color:black">DATE:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><span style="font-size:13.5pt;font-family:"Verdana",sans-serif;color:black"> </span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">Friday,
April 27, 2018</span></b></p>
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<p class="MsoNormal" style="text-align:center" align="center"><span style="font-family:"Verdana",sans-serif;color:black">TITLE:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><span class="m_-1494380288942050784event-description"><b><span style="font-size:20.0pt;font-family:"Verdana",sans-serif">Re-Discovering Neuroanatomy by Machine Learning</span></b></span><b><span style="font-size:20.0pt;font-family:"Verdana",sans-serif"></span></b></p>
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<p class="MsoNormal" style="text-align:center" align="center"><span style="font-family:"Verdana",sans-serif;color:black">TIME:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> </span><span style="font-size:13.5pt;font-family:"Verdana",sans-serif;color:black"> </span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">3<span style="color:black">:30PM</span></span></b></p>
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<p class="MsoNormal" style="text-align:center" align="center"><span style="font-family:"Verdana",sans-serif;color:black">LOCATION:</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> <b> </b></span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">GMCS 314</span></b></p>
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<p class="MsoNormal" style="text-align:center" align="center"><span style="font-family:"Verdana",sans-serif;color:black">SPEAKER:</span><span style="font-size:13.5pt;font-family:"Verdana",sans-serif;color:black"> </span><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">Frithjof Kruggel, M.D., Ph.D.</span></b><b><span style="font-size:18.0pt;font-family:"Verdana",sans-serif">,
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Department of Biomedical Engineering, University of California, Irvine<br></span></b></p>
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<p class="MsoNormal"><span style="font-family:"Verdana",sans-serif;color:black">ABSTRACT:</span></p>
<h2><span class="m_-1494380288942050784event-description">The advance of modern neuroimaging technology is intertwined with the development of image processing methods, leading to an enormous increase of knowledge in neurobiology. Digital brain atlases play a huge role in this context: they serve as a reference framework for communicating knowledge and help relating brain structures to functions. However, current atlases are constructed from a small number of subjects, and do not adequately represent the individual formation of a human brain. We will present a data-driven approach to analyze macro- structural properties of the human brain that will provide a symbolic description of an individual brain. Focus is given on the description of image processing and machine learning methods, and on the current challenges of dealing with big data in neuroscience. <br></span></h2><h2><br></h2><h2><span class="m_-1494380288942050784event-description">Biosketch: <br></span></h2><h2><span class="m_-1494380288942050784event-description">Frithjof Kruggel joined the Department of Biomedical Engineering at UC Irvine as a Professor in 2005. His research focuses on developing Computer Vision algorithms to extract meaningful, quantitative information from neuroimaging data to understand the relation between structure and function of the human brain, and to support clinical diagnosis and therapeutic decisions.
Frithjof received his M.S. in Chemistry from Ruhr-University, Bochum (Germany) in 1983, and his M.D. and Ph.D. from Ludwig Maximilian University, Munich (Germany) in 1989. Following his training in Clinical Neurology, he assisted in building up the Max-Planck-Institute of Cognitive Neuroscience, where he headed the Workgroup on Signal and Image Analysis from 1995-2004. From 2002-2004, he served as a Professor for Image Analysis and Computer Graphics in the Department of Computer Science at the University of Leipzig (Germany). <br></span></h2><h2><br></h2><h2><span class="m_-1494380288942050784event-description">Lab homepage: <a href="https://sip.eng" target="_blank">https://sip.eng</a>.<a href="http://uci.edu" target="_blank">uci.edu</a></span><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;font-weight:normal"><span class="m_-1494380288942050784event-description"></span></span><span class="m_-1494380288942050784event-description"><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;font-weight:normal"></span></span></h2>
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<h2><span style="font-size:11.0pt;font-family:"Verdana",sans-serif;color:black;font-weight:normal">HOST:</span><span style="font-family:"Verdana",sans-serif;color:#1f497d"> </span><span class="m_-1494380288942050784event-description"><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;font-weight:normal">Jose Castillo</span></span><span></span></h2>
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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Verdana",sans-serif;color:black">Dr. Jose
E. Castillo<br>
Director/Professor<br>
Computational Science Research Center<br>
<a href="https://maps.google.com/?q=5500+Campanile+Drive+%0D%0ASan+Diego&entry=gmail&source=g">5500 Campanile Drive</a><br>
San Diego State University<br>
San Diego, CA 92182-1245<br>
(619) 59407205/3430, FAX </span><a href="tel:%28619%29%20594-2459" target="_blank"><span style="font-size:9.5pt;font-family:"Verdana",sans-serif">(619)
594-2459</span></a></p><span class="HOEnZb"><font color="#888888">
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