BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250419T204201Z UID:A201DFFA-A8BC-4FD0-B395-9C1E807202B0 DTSTART;TZID=America/New_York:20250416T130000 DTEND;TZID=America/New_York:20250416T140000 DESCRIPTION:Please join us for a technical seminar by Dr. Alycen Wiacek on Medical Acoustics for Global Health\, Imaging\, and Clinical Translation a t Wayne State University.\n\nAbstract:\n\nUltrasound and photoacoustic ima ging are two related medical imaging modalities that transmit sound and li ght\, respectively\, into the body and measure signals representing the ac oustic response from tissue. Due to their potential to be both noninvasive and portable\, these acoustic-based imaging modalities hold significant p romise for diagnosis in resource limited settings. However\, engineering q uantitative tools rather than requiring manual image interpretation is cri tical to aid the transition of these methods into the clinic. In this talk \, I will highlight the work being done in the Medical Acoustics for Globa l Health\, Imaging\, and Clinical Translation (MAGIC) Lab at Oakland Unive rsity\, developing quantitative tools to improve the quality and availabil ity of ultrasound and photoacoustic imaging. Specifically\, I will highlig ht three main innovations including: (1) leveraging physics-informed deep learning to diagnose breast cancer\, (2) quantifying portable ultrasound t o guide physical therapy treatment\, and (3) developing quantitative photo acoustic-based biomarkers to characterize thrombosis.\n\nBio:\n\n[Image pr eview]Alycen Wiacek is an Assistant Professor in the Departments of Electr ical & Computer Engineering and Bioengineering at Oakland University where she directs the Medical Acoustics for Global health Imaging and Clinical translation (MAGIC) lab. Her research focuses on leveraging signal process ing and artificial intelligence to improve the quality and availability of ultrasound and other medical imaging methods. Dr. Wiacek earned her BS fr om Wayne State University\, MS from Oakland University\, and PhD from John s Hopkins University all in Electrical and Computer Engineering. Her work is funded by the National Science Foundation\, the National Institutes of Health\, and the Michigan Space Grant Consortium. She has also received se veral awards for her work including the American Institute of Ultrasound i n Medicine (AIUM) New Investigator Award\, the Siebel Scholar Award\, and the Achievement Rewards for College Scientists (ARCS) Scholar Award.\n\nCo -sponsored by: Wayne State University\n\nBldg: Engineering Building\, 5050 Anthony Wayne Drive\, Detroit\, Michigan\, United States\, 48202\, Virtua l: https://events.vtools.ieee.org/m/477024 LOCATION:Bldg: Engineering Building\, 5050 Anthony Wayne Drive\, Detroit\, Michigan\, United States\, 48202\, Virtual: https://events.vtools.ieee.org /m/477024 ORGANIZER:unluturk@msu.edu SEQUENCE:16 SUMMARY:Seminar @Wayne State on Medical Acoustics for Global Health\, Imagi ng\, and Clinical Translation by Alycen Wiacek URL;VALUE=URI:https://events.vtools.ieee.org/m/477024 X-ALT-DESC:Description: <br /><p>Please join us for a technical seminar by Dr. Alycen Wiacek on Medical Acoustics for Global Health\, Imaging\, and C linical Translation at Wayne State University.&nbsp\;</p>\n<p>Abstract:</p >\n<p>Ultrasound and photoacoustic imaging are two related medical imaging modalities that transmit sound and light\, respectively\, into the body a nd measure signals representing the acoustic response from tissue. Due to their potential to be both noninvasive and portable\, these acoustic-based imaging modalities hold significant promise for diagnosis in resource lim ited settings. However\, engineering quantitative tools rather than requir ing manual image interpretation is critical to aid the transition of these methods into the clinic. In this talk\, I will highlight the work being d one in the Medical Acoustics for Global Health\, Imaging\, and Clinical Tr anslation (MAGIC) Lab at Oakland University\, developing quantitative tool s to improve the quality and availability of ultrasound and photoacoustic imaging. Specifically\, I will highlight three main innovations including: (1) leveraging physics-informed deep learning to diagnose breast cancer\, (2) quantifying portable ultrasound to guide physical therapy treatment\, and (3) developing quantitative photoacoustic-based biomarkers to charact erize thrombosis.</p>\n<p>Bio:</p>\n<p><img src="https://attachments.offic e.net/owa/unluturk%40msu.edu/service.svc/s/GetAttachmentThumbnail?id=AAMkA GUxOGIxOGVhLTNiOWItNDI1ZS05ZGFlLTc3YWQ3ODJkZDUwMgBGAAAAAAAXOVZdj2SRSIKp72I FiBt3BwC%2BTMEvWWVBSajV85xsUvX8AAAAAAEMAAC%2BTMEvWWVBSajV85xsUvX8AARH31oFA AABEgAQAG2kzF%2BEOj1HoSswaMZSt5M%3D&amp\;thumbnailType=2&amp\;token=eyJhbG ciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6InBnYkNBNHNWdEVxUmc5QmoyMnpSaHhFd2FR RT0iLCJ4NXQiOiJwZ2JDQTRzVnRFcVJnOUJqMjJ6Umh4RXdhUUU9Iiwibm9uY2UiOiJXQ2ZUNV doMEdwT2dMU2JmQ0hnbjNnMXpVb1MxZEM5aEFQdmxJS2dtWldPT0E4TVBDNDhPTmV5NUpWT0NS RW9vajBLdmxrVWpBVGR5ZUJLTVVzSWNKbWtRN2YtNjNzQmJPbkhGRmtjWlI0cUNaVzhScF84cm VlajdBSVpPTXY5UVJlREdKd3RaV0xQaEJvYmdkUk55TGVhRHJJdUF5YzFpNHhhYjZ1VmJfamsi LCJpc3Nsb2MiOiJQSDdQUjEyTUI1ODc4Iiwic3JzbiI6NjM4NzgwNDA2MzI1NTcxMTUwfQ.eyJ zYXAtdmVyc2lvbiI6IjMxIiwiYXBwaWQiOiJhZjNlYmJiYS1jMjNmLTQ5MmEtYWE5My04MzQyM TY5NmVjNGIiLCJpc3NyaW5nIjoiV1ciLCJhcHBpZGFjciI6IjIiLCJhcHBfZGlzcGxheW5hbWU iOiIiLCJ1dGkiOiI5NDQwODJhZS1mODY3LTQzMDQtYjc2Zi1jZmQ5MWY0ZWMyYTkiLCJpYXQiO jE3NDI1NzQyMTEsInZlciI6IlNUSS5Vc2VyLkNhbGxiYWNrVG9rZW4uVjEiLCJ0aWQiOiIyMjE 3NzEzMDY0MmY0MWQ5OTIxMTc0MjM3YWQ1Njg3ZCIsInRydXN0ZWRmb3JkZWxlZ2F0aW9uIjoiZ mFsc2UiLCJ0b3BvbG9neSI6IntcIlR5cGVcIjpcIk1hY2hpbmVcIixcIlZhbHVlXCI6XCJQSDd QUjEyTUI1ODc4Lm5hbXByZDEyLnByb2Qub3V0bG9vay5jb21cIn0iLCJyZXF1ZXN0b3JfYXBwa WQiOiIxNTdjZGZiZi03Mzk4LTRhNTYtOTZjMy1lOTNlOWFiMzA5YjUiLCJyZXF1ZXN0b3JfYXB wX2Rpc3BsYXluYW1lIjoiT2ZmaWNlIDM2NSBFeGNoYW5nZSBNaWNyb3NlcnZpY2UiLCJzY3AiO iJPd2FBdHRhY2htZW50cy5SZWFkIiwib2lkIjoiMDc0YTQyOGYtOTc2MC00YjVjLWEzM2QtZmE 1YzdhMmExZDlhIiwicHVpZCI6IjEwMDMyMDAwREQ3MzIxRTAiLCJzbXRwIjoidW5sdXR1cmtAb XN1LmVkdSIsInVwbiI6InVubHV0dXJrQG1zdS5lZHUiLCJ1c2VyY2FsbGJhY2t1c2VyY29udGV 4dGlkIjoiNzI3ZmRiMzJmZDJhNGI5YjlmNWQxZDZjZjU1ODkwOTAiLCJzaWduaW5fc3RhdGUiO lsiaW5rbm93bm50d2siLCJrbXNpIl0sImVwayI6IntcImt0eVwiOlwiUlNBXCIsXCJuXCI6XCI xZDA1cjhIQ3JtX0NMTUV4MHNKZWV5QTE4emViaWhIQ29NcGV3S3FvTm5TOUJXQ1lVdGF1Q3ZMS nhSTVV0VHZlS0ZMQXg3QUVhUzRZa1FIcGphOEJvdFZPZWRCTGJDRktpakdkTzVXeDItRXE3WHk wY1JxZ0xvWlpKSkNXSGNoUU11WWNFYlFnMlNrWk1qNnJPVEpqeXdvTFJ3Mm9zdC0zYmhrRlZMV VZkWHhUTkFOWWlRTXlwdlVRWk95Ny1XLWZQU1YxbjRzSVhubDFHcW1VaEtKWnV1TWc3MC1LSVl qQjY1N0t2Ny1kRjlZWF9iaEJ6aFFOTzVHc29wQVpiX183SEtVUVJaNDRwdl9MNy1wRklwdnZUQ jRZNGJwaXA1LXZobnVkcnltejBMZ1lvZ2xNbHJsY3FYbmJoemR5YlJva3U5clIwamphLVN3dGF yZ19udnNXS1FcIixcImVcIjpcIkFRQUJcIixcImFsZ1wiOlwiUlMyNTZcIixcImV4cFwiOlwiM Tc0MjY2MzQ3N1wiLFwiZXhwX2RpZmZcIjpcIjg2NDAwXCIsXCJraWRcIjpcIlk3bFowU2NmLXZ vNjhoYnpCOTVRUHNnUGsySVwifS5PU1ZWM0lCbyt3dDBjdExkY2s4RzVabXp4eUpSSnVUZXN3S 2VnVFB3ZkpXVTFOWTVHeW1oaEJuVEM4TUk0ZVNyZFNwMnR4MFlvWU5BYzdpUlRrUXYwbEhsUlZ uOUpMMko2WkVSWHcvV0F3eHFtN3dlOGUrSzdqOTFLZTRYRFFXS2VTdlFhVWFWd3owZG5CVGV3M WRSREF4YTI5dHlNZWhiZ1pYSzNHbS8xa2dMYjdSeUJmV0FnSmVHNGlEbFZtUStMZE9xL0ErcmV idFZHWGJINjVoY09kbVhGMHRlb2JFTWU4cE5UOWNmQ0ZYOXpCWmxFR2pHQ2JpcmVBbnFwZkwvV DVqV3hsMExSWG54NStoMzdXcnR5enBmN1dUdnpxOVVRd1IvVnVRaTgzYmd0Z3orQm1sVndiY0J iMkxHT0xGUmQyME0va2pNZHNsWkxQd05naDUwc0E9PSIsIm5iZiI6MTc0MjU3NDIxMSwiZXhwI joxNzQyNTc0NTExLCJpc3MiOiJodHRwczovL3N1YnN0cmF0ZS5vZmZpY2UuY29tL3N0cy8iLCJ hdWQiOiJodHRwczovL291dGxvb2sub2ZmaWNlLmNvbSIsInNzZWMiOiJFN1o0TUJ6OE1PWmF3T C9GIn0.Q63pfctEng4Zt_9mFaem8BrGZPZldT6LJLBGwi6qAztoCLEucA5IbA8oF-jEJ_qJV7e A6TQMe2FvYmpEAMhf-CMmVI6oc659esPEV22_DuVYH4gTkYPaQteIPYSL2_GeO4Wxb9Vcumane 0p68BOUjHKh12I-iz3IeCTQExtEw5BYwH6E1mGrtzM3V9sjtyUmwL8Mtfluxyrqu705TwLi0da UpY6O2epuGKqcMUNLpCKf-JUlM7gPHAG0amq_so0w4LklNMO7rwXOOHR3Hij_YrY3JwM-A5GYg XhGtfEBy2hQpWGB-nvSrPYXAftnyFS5T9pKq7zmECi85tmQxQKttQ&amp\;X-OWA-CANARY=wT Q4TbxbarkAAAAAAAAAALDeK8SVaN0YZr6Od1I5jXc8EajNjx6Jhzqi_6VGE4k0d_LfR8NOLxA. &amp\;owa=outlook.office.com&amp\;scriptVer=20250307002.12&amp\;clientId=C 99FB3319F8D4851ABC411797409CB2A&amp\;animation=true" alt="Image preview" w idth="178" height="170">Alycen Wiacek is an Assistant Professor in the Dep artments of Electrical &amp\; Computer Engineering and Bioengineering at O akland University where she directs the Medical Acoustics for Global healt h Imaging and Clinical translation (MAGIC) lab. Her research focuses on le veraging signal processing and artificial intelligence to improve the qual ity and availability of ultrasound and other medical imaging methods. Dr. Wiacek earned her BS from Wayne State University\, MS&nbsp\;from Oakland U niversity\, and PhD from Johns Hopkins University all in Electrical and Co mputer Engineering. Her work is funded by the National Science Foundation\ , the National Institutes of Health\, and the Michigan Space Grant Consort ium. She has also received several awards for her work including the Ameri can Institute of Ultrasound in Medicine (AIUM) New Investigator Award\, th e Siebel Scholar Award\, and the Achievement Rewards for College Scientist s (ARCS) Scholar Award.</p> END:VEVENT END:VCALENDAR