Abstract DP364: Association of deep learning segmented ischemic core hypodensity on non-contrast CT with endovascular treatment benefit
Year: 2026
Type: conference-abstract
Source: Stroke
Authors: Henk van Voorst, Vignan Yogendrakumar, Hannah Johns, leonid churilov, Ameer Hassan, Michael Abraham, Santiago Ortega-Gutierrez, Muhammad Hussain, Michael Chen, Scott Kasner, Spiros Blackburn, Juan Arenillas, Fawaz Al-Mufti, Deep Pujara, Thanh Nguyen, Stavropoula Tjoumakaris, Pascal Jabbour, Mark Parsons, clark sitton, James Grotta, Michael Hill, Greg Zaharchuk, Maarten Lansberg, Bruce Campbell, Gregory Albers, Jeremy Heit, Amrou Sarraj
Institutions: Stanford Medicine, Stanford University, Ottawa Hospital Research Institute, The University of Melbourne, The University of Texas Rio Grande Valley, Valley Baptist Medical Center, The University of Kansas Health System, University of Iowa, University of Iowa Hospitals and Clinics, Cleveland Clinic, Rush University Medical Center, University of Pennsylvania, The University of Texas Health Science Center at Houston, Hospital Clínico Universitario de Valladolid, Westchester Medical Center, University Hospitals of Cleveland, Boston Medical Center, Thomas Jefferson University, Liverpool Hospital, UNSW Sydney, Memorial Hermann, Memorial Hermann–Texas Medical Center, University of Calgary
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W7126041642
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