BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Copenhagen BEGIN:DAYLIGHT DTSTART:20250330T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250127T134854Z UID:2036F8F6-F077-42CA-8E79-B2248BC96D39 DTSTART;TZID=Europe/Copenhagen:20250213T130000 DTEND;TZID=Europe/Copenhagen:20250213T143000 DESCRIPTION:Tech-talk with title: Acute Ischemic Stroke Analysis: Integrati ng Clinical Advancements and AI Solutions\n\nBy: Associate Prof. Mahdieh K hanmohammadi\n\nAbstract:\nStroke remains a critical neurological emergenc y with significant societal and health impacts worldwide. In Norway\, 15\, 000 people suffer from acute cerebral stroke annually\, the leading cause of adult long-term severe disability\, nursing home admissions\, and the t hird leading cause of death. Rapid and accurate identification of ischemic regions in the brain is crucial for timely intervention and treatment pla nning in acute ischemic stroke patients. At Stavanger University Hospital\ , Computed Tomography Perfusion (CTP) scans and derived parametric maps ar e used to determine the need for immediate treatment with intravenous thro mbolysis (IVT) alone or in combination with mechanical thrombectomy (MT)\, or MT alone. During follow-ups\, patients undergo Diffusion Weighted Imag ing (DWI) to evaluate the treatment outcomes.\n\nThis talk highlights a tw in project combining clinical and technical research to enhance the diagno sis and treatment of acute ischemic stroke. The clinical PhD focused on op timizing stroke management through advanced imaging protocols and simulati on-based team training\, achieving significant reductions in treatment del ays. The technical PhD explored artificial intelligence methods to automat ically segment ischemic regions from CTP scans\, emphasizing both irrevers ibly damaged core and salvageable penumbra. By leveraging supervised and s emi-supervised machine learning approaches\, the research demonstrated the feasibility of 4D CTP as a robust input for segmentation tasks. Now we ar e moving towards evaluating combinations of features in ischemic lesions a t hospital admission CTP and follow-up DWI to predict outcomes and guide t reatment\, analyzing the effect of interventional treatments. Finally\, we aim to implement the developed system in a clinical workflow for simulati on training and research.\n\nSpeaker(s): Mahdieh\n\nAgenda: \n13:00 - Even t starts and audience gathering\n\n13:15 - 13:50 Tech-talk by Associate Pr of. Mahdieh Khanmohammadi from Dept. of Electrical Engineering and Compute r Science at University of Stavanger\; This part will be streamed via Team s.\n\n13:50 - 14:00 Questions and comments.\n\n14:00- 14:30 Discussion and Mingling\, soft drinks and snacks will be available to the participants.\ n\nRoom: KE E-439\, Bldg: Kjølv Egelands Hus\, University of Stavanger\, Stavanger\, Rogaland\, Norway\, 4021\, Virtual: https://events.vtools.ieee .org/m/463900 LOCATION:Room: KE E-439\, Bldg: Kjølv Egelands Hus\, University of Stavang er\, Stavanger\, Rogaland\, Norway\, 4021\, Virtual: https://events.vtools .ieee.org/m/463900 ORGANIZER:mahdieh.khanmohammadi@uis.no SEQUENCE:11 SUMMARY:Nordic Chapters Tech-Talk Series\; Event 1: Acute Ischemic Stroke A nalysis: Integrating Clinical Advancements and AI Solutions URL;VALUE=URI:https://events.vtools.ieee.org/m/463900 X-ALT-DESC:Description: <br /><p class="MsoNormal"><strong>Tech-talk with t itle:&nbsp\;Acute Ischemic Stroke Analysis: Integrating Clinical Advanceme nts and AI Solutions</strong></p>\n<p class="MsoNormal"><strong>By: Associ ate Prof. Mahdieh Khanmohammadi&nbsp\;</strong></p>\n<p class="MsoNormal"> <strong>Abstract:</strong><br>Stroke remains a critical neurological emerg ency with significant societal and health impacts worldwide. In Norway\, 1 5\,000 people suffer from acute cerebral stroke annually\, the leading cau se of adult long-term severe disability\, nursing home admissions\, and th e third leading cause of death. Rapid and accurate identification of ische mic regions in the brain is crucial for timely intervention and treatment planning in acute ischemic stroke patients. At Stavanger University Hospit al\, Computed Tomography Perfusion (CTP) scans and derived parametric maps are used to determine the need for immediate treatment with intravenous t hrombolysis (IVT) alone or in combination with mechanical thrombectomy (MT )\, or MT alone. During follow-ups\, patients undergo Diffusion Weighted I maging (DWI) to evaluate the treatment outcomes.</p>\n<p class="MsoNormal" >&nbsp\;</p>\n<p class="MsoNormal">This talk highlights a twin project com bining clinical and technical research to enhance the diagnosis and treatm ent of acute ischemic stroke. The clinical PhD focused on optimizing strok e management through advanced imaging protocols and simulation-based team training\, achieving significant reductions in treatment delays. The techn ical PhD explored artificial intelligence methods to automatically segment ischemic regions from CTP scans\, emphasizing both irreversibly damaged c ore and salvageable penumbra. By leveraging supervised and semi-supervised machine learning approaches\, the research demonstrated the feasibility o f 4D CTP as a robust input for segmentation tasks. Now we are moving towar ds evaluating combinations of features in ischemic lesions at hospital adm ission CTP and follow-up DWI to predict outcomes and guide treatment\, ana lyzing the effect of interventional treatments. Finally\, we aim to implem ent the developed system in a clinical workflow for simulation training an d research.</p><br /><br />Agenda: <br /><p>&nbsp\;</p>\n<p>13:00 - Event starts and audience gathering</p>\n<p>13:15 - 13:50 Tech-talk by Associate Prof. Mahdieh Khanmohammadi from Dept. of Electrical Engineering and Comp uter Science at University of Stavanger\; This part will be streamed via T eams.</p>\n<p>13:50 - 14:00 Questions and comments.</p>\n<p>14:00- 14:30 D iscussion and Mingling\, soft drinks and snacks will be available to the p articipants.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR