BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20181217T050734Z UID:D134E927-FBFF-42A8-9F44-4FDEF274C047 DTSTART;TZID=America/Chicago:20181116T173000 DTEND;TZID=America/Chicago:20181116T193000 DESCRIPTION:Join us for drinks and appetizers and to learn about "AI tools in healthcare" with Dr. KC Santosh from University of South Dakota (USD) a t Old Market Eatery in Brookings\, SD.\n\nThis event is free for IEEE memb ers and will include one drink and appetizers. Non-members are most welcom e as well and would be responsible for their own drinks.\n\nMore informati on about the presentation and speaker:\n\nABSTRACT: Image is worth a thous and words. Image analysis has several different applications\; healthcare\ , for instance. Fundamental image processing mechanics let us focus on how we can actually represent visual images to be processed by machine learni ng algorithms. More specifically\, the talk aims to provide how data scien tist (image) works with an emphasis on image processing and pattern recogn ition in the domain: healthcare.\n\nIn this context\, we will present an a utomatic chest X-rays screening system to detect pulmonary abnormalities u sing chest X-rays (CXR) in non-hospital settings. In particular\, the prim ary motivator of the project is the need for screening HIV+ populations in resource-constrained regions for the evidence of Tuberculosis (TB). The s ystem analyzes thoracic edge map\, shapes as well as symmetry that exist b etween the lung sections of the posteroanterior CXRs. For classification\, we have used several different classifiers\, such as support vector machi ne\, Bayesian network\, multilayer perceptron neural networks\, random for est and convolutional neural network. Using CXR benchmark collections made available by the National Institutes of Health (NIH) and National Institu te of Tuberculosis and Respiratory Diseases\, India\, the proposed method outperforms the previously reported state-of-the-art methods by more than 5% in terms of accuracy and 3% in terms of area under the ROC curve (AUC). \n\nOn the whole\, the talk will consider state-of-the-art works in image analysis\, pattern recognition and machine learning under the framework of healthcare and/or medical imaging. Having all these topics\, we will prov ide/summarize how AI and machine learning have helped healthcare more adva nced than it used to be.\n\nSPEAKER: KC Santosh (IEEE Senior member) has b een employed at the University of South Dakota (USD) as an Assistant Profe ssor since 2015. In addition\, he currently serves as the Graduate Program Coordinator (GPC) for the department of computer science. Before joining the USD\, Dr. Santosh worked as a research fellow at the U.S. National Lib rary of Medicine (NLM)\, National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre\, Univ. de Lorraine in direct collaboration with ITESOFT\, France (industrial partne r). He has received his PhD diploma in computer science from INRIA - Univ. de Lorraine (France)\, MS in Computer Science from Thammasat Univ. (Thail and). Dr. Santosh has demonstrated expertise in pattern recognition\, imag e processing\, computer vision\, artificial intelligence and machine learn ing with various applications in medical image analysis\, graphics recogni tion\, document information content exploitation and biometrics. He publis hed more than 110 peer-reviewed research articles\, two authored books (Sp ringer) and edited several books (Springer\, Elsevier and CRC press)\, jou rnal issues (Springer) and conference proceedings (Springer). Dr. Santosh serves as an associate editor of the international journal of machine lear ning & cybernetics (Springer).\n\nFor more information\, please visit: htt p://kc-santosh.org\n\nCo-sponsored by: IEEE Siouxland Section\n\nAgenda: \ n5:30pm-6:30pm: Social Hour with Appetizers and Drinks\n\n6:30pm-7:30pm: T alk and Questions\n\n424 5th Street\, Brookings\, South Dakota\, United St ates\, 57006 LOCATION:424 5th Street\, Brookings\, South Dakota\, United States\, 57006 ORGANIZER:timothy.hansen@sdstate.edu SEQUENCE:5 SUMMARY:IEEE Siouxland Section Speaker Event: AI tools in healthcare: can m achine read lung diseases in chest radiographs? URL;VALUE=URI:https://events.vtools.ieee.org/m/181440 X-ALT-DESC:Description: <br /><p><strong>Join us for drinks and appetizers and to learn about&nbsp\;"<em>AI tools in healthcare"</em> with Dr. KC San tosh from University of South Dakota (USD) at&nbsp\;Old Market Eatery in B rookings\, SD.</strong></p>\n<p><strong>This event is free for IEEE member s and will include one drink and appetizers. Non-members are most welcome as well and would be responsible for their own drinks.&nbsp\;</strong></p> \n<p><strong>More information about the presentation and speaker:</strong> </p>\n<p><strong>ABSTRACT:</strong> Image is worth a thousand words. Image analysis has several different applications\; healthcare\, for instance. Fundamental image processing mechanics let us focus on how we can actually represent visual images to be processed by machine learning algorithms. M ore specifically\, the talk aims to provide how data scientist (image) wor ks with an emphasis on image processing and pattern recognition in the dom ain: healthcare.</p>\n<p>In this context\, we will present an automatic ch est X-rays screening system to detect pulmonary abnormalities using chest X-rays (CXR) in non-hospital settings. In particular\, the primary motivat or of the project is the need for screening HIV+ populations in resource-c onstrained regions for the evidence of Tuberculosis (TB). The system analy zes thoracic edge map\, shapes as well as symmetry that exist between the lung sections of the posteroanterior CXRs. For classification\, we have us ed several different classifiers\, such as support vector machine\, Bayesi an network\, multilayer perceptron neural networks\, random forest and con volutional neural network. Using CXR benchmark collections made available by the National Institutes of Health (NIH) and National Institute of Tuber culosis and Respiratory Diseases\, India\, the proposed method outperforms the previously reported state-of-the-art methods by more than 5% in terms of accuracy and 3% in terms of area under the ROC curve (AUC).</p>\n<p>On the whole\, the talk will consider state-of-the-art works in image analys is\, pattern recognition and machine learning under the framework of healt hcare and/or medical imaging. Having all these topics\, we will provide/su mmarize how AI and machine learning have helped healthcare more advanced t han it used to be.</p>\n<p>&nbsp\;</p>\n<p><strong>SPEAKER:</strong> KC Sa ntosh (IEEE Senior member) has been employed at the University of South Da kota (USD) as an Assistant Professor since 2015. In addition\, he currentl y serves as the Graduate Program Coordinator (GPC) for the department of c omputer science. Before joining the USD\, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM)\, National Institut es of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre\, Univ. de Lorraine in direct collaboration with ITE SOFT\, France (industrial partner). He has received his PhD diploma in com puter science from INRIA - Univ. de Lorraine (France)\, MS in Computer Sci ence from Thammasat Univ. (Thailand). Dr. Santosh has demonstrated experti se in pattern recognition\, image processing\, computer vision\, artificia l intelligence and machine learning with various applications in medical i mage analysis\, graphics recognition\, document information content exploi tation and biometrics. He published more than 110 peer-reviewed research a rticles\, two authored books (Springer) and edited several books (Springer \, Elsevier and CRC press)\, journal issues (Springer) and conference proc eedings (Springer). Dr. Santosh serves as an associate editor of the inter national journal of machine learning &amp\; cybernetics (Springer).</p>\n< p>For more information\, please visit: <a href="http://kc-santosh.org">htt p://kc-santosh.org</a>&nbsp\;</p><br /><br />Agenda: <br /><p>5:30pm-6:30p m: Social Hour with Appetizers and Drinks</p>\n<p>6:30pm-7:30pm: Talk and Questions</p> END:VEVENT END:VCALENDAR