Neural Network–derived Perfusion Maps for the Assessment of Lesions in Patients with Acute Ischemic Stroke-Reference-Cited by-同舟云学术

Neural Network–derived Perfusion Maps for the Assessment of Lesions in Patients with Acute Ischemic Stroke

Published:2019-08-01 Issue:5 Volume:1 Page:e190019
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Meier Raphael¹^ORCID,Lux Paula¹,Med B¹,Jung Simon¹,Fischer Urs¹,Gralla Jan¹^ORCID,Reyes Mauricio¹,Wiest Roland¹^ORCID,McKinley Richard¹,Kaesmacher Johannes¹^ORCID

Affiliation:

1. From the Support Center for Advanced Neuroimaging–University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.

Funder

Swiss Heart Foundation

SAMW

Bangerter Foundation

Swiss Stroke Society, and Swiss National Science Foundation

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2019190019

Reference35 articles.