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MRI-based Algorithm for Acute Ischemic Stroke Subtype Classification

2014180 citationsJournal Articlediamond Open Access

Authors

Young‐Chai Ko · Daejeon Eulji Medical Center, Eulji University

Soo Joo Lee · Daejeon Eulji Medical Center, Eulji University

Jong‐Won Chung · Seoul National University Bundang Hospital

Moon‐Ku Han · Seoul National University Bundang Hospital

Jong‐Moo Park · Eulji University

Kyusik Kang · Eulji Medical Center

Abstract

Despite several limitations, this study shows that the MAGIC system is feasible and may be helpful to classify stroke subtype in the clinic.

Topics & Keywords

Acute Ischemic Stroke Management Cerebrovascular and Carotid Artery Diseases Cardiac Imaging and Diagnostics

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Journal of Stroke

Volume 16, Issue 3, pp. 161-161

DOI: 10.5853/jos.2014.16.3.161

Field-Weighted Citation Impact: 7.29

MRI-based Algorithm for Acute Ischemic Stroke Subtype Classification | Researchclopedia

· Seoul Medical Center

Sang‐Soon Park · Seoul Medical Center

Yong‐Jin Cho · Inje University Ilsan Paik Hospital

Keun‐Sik Hong · Inje University Ilsan Paik Hospital

Kyung Bok Lee · Soonchunhyang University Hospital Seoul

Jun Lee · Yeungnam University Medical Center

Dong‐Eog Kim · Dongguk University Ilsan Hospital

Dae‐Hyun Kim · Dongguk University Ilsan Hospital

Jae‐Kwan Cha · Dong-A University Hospital

Joon‐Tae Kim · Chonnam National University Hospital

Jay Chol Choi · Jeju National University Hospital

Dong‐Ick Shin · Chungbuk National University

Ji Sung Lee · Korea University

Juneyoung Lee · Korea University

Kyung‐Ho Yu · Hallym University Sacred Heart Hospital

Byung‐Chul Lee · Hallym University Sacred Heart Hospital

Hee‐Joon Bae · Seoul National University Bundang Hospital