Quantification of hematoma and perihematomal edema volumes in intracerebral hemorrhage study: Design considerations in an artificial intelligence validation (QUANTUM) study

Ironside, N., Patrie, J., Ng, S., Ding, D., Rizvi, T., Kumar, J. S., Mastorakos, P., Hussein, M. Z., Naamani, K. E., Abbas, R., Harrison Snyder, M., Zhuang, Y., Kearns, K. N., Doan, K. T., Shabo, L. M., Marfatiah, S., Roh, D., Lignelli-Dipple, A., Claassen, J., … Chen, C.-J. (2022). Quantification of hematoma and perihematomal edema volumes in intracerebral hemorrhage study: Design considerations in an artificial intelligence validation (QUANTUM) study. Clinical Trials, 19(5), 534–544. https://doi.org/10.1177/17407745221105886
Authors:
Natasha Ironside
James Patrie
Sherman Ng
Dale Ding
Tanvir Rizvi
Jeyan S Kumar
Panagiotis Mastorakos
Mohamed Z Hussein
Kareem El Naamani
Rawad Abbas
M. Harrison Snyder
Yan Zhuang
Kathryn N Kearns
Kevin T Doan
Leah M Shabo
Saurabh Marfatiah
David Roh
Angela Lignelli-Dipple
Jan Claassen
Bradford B Worrall
Karen C Johnston
Pascal Jabbour
Min S Park
E. Sander Connolly
Sugoto Mukherjee
Andrew M Southerland
Ching-Jen Chen
Affiliated Authors:
Saurabh Marfatiah
David Roh
Angela Lignelli-Dipple
Jan Claassen
E. Sander Connolly
Subjects:
Brain Edema (MeSH)
Author Keywords:
stroke
intracerebral hemorrhage
edema
machine learning
artificial intelligence
study
Publication Type:
Article
Unique ID:
10.1177/17407745221105886
PMID:
Journal:
Publication Date:
Data Source:
Scopus

Record Created: