- Title
- Computer-assisted quantitation of enhancing lesions in multiple sclerosis : Correlation with clinical classification
- Creators
- Y Miki - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesR. I Grossman - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesL. J Mannon - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesJ. K Udupa - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesS Samarasekera - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesM. A VAN BUCHEM - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesB. S Cooney - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesS. N Pollack - Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, United StatesD. L Kolson - Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, United StatesC Constantinescu - Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, United StatesM Polansky - Department of Biometrics and Computing, Hahnemann University, Philadelphia, United States
- Publication Details
- American journal of neuroradiology : AJNR, v 18(4), pp 705-710
- Publisher
- American Society of Neuroradiology
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1997WU59200037
- Scopus ID
- 2-s2.0-18844476424
- Other Identifier
- 991019169625404721
Journal article
Computer-assisted quantitation of enhancing lesions in multiple sclerosis : Correlation with clinical classification
American journal of neuroradiology : AJNR, v 18(4), pp 705-710
1997
PMID: 9127034
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Metrics
6 Record Views
Details
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Neuroimaging
- Radiology, Nuclear Medicine & Medical Imaging