BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Beckman Laser Institute - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://bli.uci.edu
X-WR-CALDESC:Events for Beckman Laser Institute
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240627T120000
DTEND;TZID=America/Los_Angeles:20240627T130000
DTSTAMP:20260604T160434
CREATED:20250325T213637Z
LAST-MODIFIED:20250325T213637Z
UID:32979-1719489600-1719493200@bli.uci.edu
SUMMARY:Alberto Martín-Pérez
DESCRIPTION:Advancing In-Vivo Human Brain Tissue Classification: A Multimodal Approach Integrating Machine Learning\, Hyperspectral Imaging and Depth Information\nAbstract  \nThis talk will present a novel approach to classify in vivo human brain tissue in real time using a multimodal imaging technique that integrates hyperspectral imaging and depth information in a recently developed system called Slim Brain. This system has been used during surgical procedures to collect a database of over 193 patients that is growing weekly. By applying sophisticated machine learning algorithms to the acquired information\, Slim Brain demonstrates the potential of combining advanced imaging modalities with computational techniques for precise and non-invasive assessment of brain tissue\, with implications for neurology and medical imaging. In addition\, a new acquisition system under development that combines hyperspectral imaging with spatial frequency domain imaging modulation will be presented as a new tool to improve brain tissue classification. \nBiography \nAlberto Martín-Pérez is a Teaching Assistant at the Department of Audivisual Engineering and Communication in the School of Telecommunications Systems and Engineering of the Technical University of Madrid (UPM). Presently\, he is pursuing a PhD at UPM with the Electronic and Microelectronic Design Group (GDEM) in the Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM). His research pursuits center around the utilization of Machine Learning algorithms for the classification of in-vivo human brain tumors through hyperspectral imaging. Furthermore\, he aims to enhance classification methodologies through the application of spatial frequency domain imaging for his doctoral studies. \n  \nREGISTER HERE FOR ZOOM \n  \nClick here to register for in-person attendance (lunch will be served) \n 
URL:https://bli.uci.edu/event/alberto-martin-perez/
LOCATION:BLI Library
CATEGORIES:2024 Hybrid Seminar Series,LAMP Seminar
ATTACH;FMTTYPE=image/png:https://bli.uci.edu/wp-content/uploads/2025/03/Screenshot-2025-03-25-143611.png
END:VEVENT
END:VCALENDAR