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le=3D"font-size: 36px; color: rgb(0, 123, 168); font-weight: bold; font-fam= ily: Calibri, Helvetica, Arial, sans-serif;">Don't miss these upcoming webi= nars organized by the IEEE Engineering in Medicine and Biology (EMB) Societ= y Technical Communities!
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le=3D"font-size: 24px; color: rgb(0, 66, 131); font-family: Calibri, Helvet= ica, Arial, sans-serif;">Trustworthy AI for Imaging-Based Diagnoses<= /div> |
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s-serif; font-weight: bold;">9 June 2021px; font-family: Calibri, Helvetica, Arial, sans-serif;"> | 10:00 AM E= ST (US and Canada)
s-serif;">ri, Helvetica, Arial, sans-serif; font-style: italic;">9:00 AM Central Dayl= ight Timetica, Arial, sans-serif;"> (Chicago, GMT-05:00)
s-serif; font-style: italic;">10:00 PM China Time t-size: 16px; font-family: Calibri, Helvetica, Arial, sans-serif;">(Beijing= , GMT+08:00)
s-serif; font-style: italic;">4:00 PM ; font-family: Calibri, Helvetica, Arial, sans-serif;">Europe Summer Time (= Amsterdam, GMT+02:00)
rgb(0, 0, 0); font-family: Calibri, Helvetica, Arial, sans-serif;">This ta= lk will focus on failures of deep learning / AI algorithms and propose seve= ral approaches to increase the robustness of AI-powered medical imaging sys= tems.
rgb(0, 0, 0); font-family: Calibri, Helvetica, Arial, sans-serif;">Roadmap= s to such trustworthy systems will be analyzed including algorithmic robust= ness, interpretable/explainable machine learning systems, and human in-the-= loop machine learning systems.
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e: 14px; color: rgb(113, 122, 128); font-family: Calibri, Helvetica, Arial,= sans-serif; font-weight: bold;">Ulas Bagci, Ph.D. e: 12px; color: rgb(113, 122, 128); font-family: Calibri, Helvetica, Arial,= sans-serif;">Associate Professor ibri, Helvetica, Arial, sans-serif; font-weight: bold;">Northwestern Univer= sityfamily: Calibri, Helvetica, Arial, sans-serif;">, Radiology and Biomedical = Engineering Department at Chicago, Courtesy Professor, Center for Research = in Computer Vision (CRCV), Department of Computer Science,e=3D"font-size: 12px; color: rgb(113, 122, 128); font-family: Calibri, Helv= etica, Arial, sans-serif; font-weight: bold;"> University of Central Florid= a (UCF)
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8); padding-bottom: 0px; border-bottom-style: none; height: 1px; line-heigh= t: 1px;" bgcolor=3D"007BA8">
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le=3D"font-size: 24px; color: rgb(0, 66, 131); font-family: Calibri, Helvet= ica, Arial, sans-serif;">Towards More Reliable and Smarter Implantable Devi= ces Using Microtechnology
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ly: Verdana, Geneva, sans-serif; font-size: 14px; color: #36495F; text-alig= n: left; display: block; word-wrap: break-word; line-height: 1.2; padding: = 10px 10px 10px 20px;">
lvetica, Arial, sans-serif;">16 July 2021 ize: 18px; font-family: Calibri, Helvetica, Arial, sans-serif;">| 10:00 AM = EST (US and Canada)
rgb(35, 35, 51); font-family: Calibri, Helvetica, Arial, sans-serif;">This= talk will discuss our latest efforts to utilize nano and microscale transd= ucers to fabricate self-clearing implantable medical devices including sens= ors and actuators. We utilize both passive and active anti-biofouling appro= aches to improve the reliability and functionality of these implantable dev= ices.
rgb(35, 35, 51); font-family: Calibri, Helvetica, Arial, sans-serif;">As a= proof of concept, the efforts to create chronically implantable self-clear= ing catheters, electrochemical biosensor arrays, and high-performance neuro= stimulation interfaces will be shared.
gb(54, 138, 156); font-weight: bold; font-family: Calibri, Helvetica, Arial= , sans-serif; font-style: italic;">Organized by the IEEE Engineering in Med= icine and Biology (EMB) Society Technical Committee on Bionanotechnology an= d BioMEMS
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e: 14px; color: rgb(122, 122, 122); font-weight: bold; font-family: Calibri= , Helvetica, Arial, sans-serif;">Hyowon “Hugh” Leev> ibri, Helvetica, Arial, sans-serif;">Weldon School of Biomedical Engineerin= g mily: Calibri, Helvetica, Arial, sans-serif; font-weight: bold;">Purdue Uni= versitt-family: Calibri, Helvetica, Arial, sans-serif; font-weight: bold;">yn>
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