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<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Hi everyone!</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Tonight (3/2) in ARC 106 at 7 pm, ACM will be hosting Dr.Jundong Liu, who will be giving a talk on the current research involving
applying deep neural networks to medical image analysis. Although having a background in machine learning or deep learning will be helpful for the talk, it is not required. There will also be pizza!</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Here’s the full abstract:</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">In this talk, I will go through some of the deep neural networks (DNN) related research in the Medical Image Analysis Lab at Ohio
University. Our efforts started with the utilization of autoencoder to fuse multimodal neuroimage features for Alzheimer’s Disease (AD) diagnosis. In the past two years, we have focused on exploring different strategies to improve brain structure and lesions
segmentations from MR images. Built on fully convolutional networks (FCN), our solutions employ multi-view ensemble, FCN + RNN, and multi-size networks to achieve segmentation results with enhanced accuracy and consistency. Some ongoing developments in our
lab, including the utilization of advanced DNN models, such as GAN, Capsule Net, for optical flow estimation, MRI modality conversion, speech enhancement, street scene analysis, will also be briefly introduced.</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">I hope to see you there!</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Colton Smith</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:9.0pt;font-family:"Calibri",sans-serif;color:#222222">937-876-9044</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:9.0pt;font-family:"Calibri",sans-serif;color:#222222">Ohio University (Class of 2018)</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:9.0pt;font-family:"Calibri",sans-serif;color:#666666">Computer Science and Applied Mathematics Dual Major</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:black;background:white">President, Ohio University ACM</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Hi everyone!</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Tonight (3/2) in ARC 106 at 7 pm, ACM will be hosting Dr.Jundong Liu, who will be giving a talk on the current research involving
applying deep neural networks to medical image analysis. Although having a background in machine learning or deep learning will be helpful for the talk, it is not required. There will also be pizza!</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Here’s the full abstract:</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">In this talk, I will go through some of the deep neural networks (DNN) related research in the Medical Image Analysis Lab at Ohio
University. Our efforts started with the utilization of autoencoder to fuse multimodal neuroimage features for Alzheimer’s Disease (AD) diagnosis. In the past two years, we have focused on exploring different strategies to improve brain structure and lesions
segmentations from MR images. Built on fully convolutional networks (FCN), our solutions employ multi-view ensemble, FCN + RNN, and multi-size networks to achieve segmentation results with enhanced accuracy and consistency. Some ongoing developments in our
lab, including the utilization of advanced DNN models, such as GAN, Capsule Net, for optical flow estimation, MRI modality conversion, speech enhancement, street scene analysis, will also be briefly introduced.</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">I hope to see you there!</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black"> </span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-family:"Calibri",sans-serif;color:black">Colton Smith</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:9.0pt;font-family:"Calibri",sans-serif;color:#222222">937-876-9044</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:9.0pt;font-family:"Calibri",sans-serif;color:#222222">Ohio University (Class of 2018)</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;background:white"><span style="font-size:9.0pt;font-family:"Calibri",sans-serif;color:#666666">Computer Science and Applied Mathematics Dual Major</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:black;background:white">President, Ohio University ACM</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
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