Work

Machine Learning-Based Classification of Acute versus Chronic Multiple Sclerosis Lesions using Radiomic Features from Unenhanced Cross-Sectional Brain MRI (4121)

Year: 2021

Type: article

Source: Neurology

DOI: 10.1212/wnl.96.15_supplement.4121

Authors: Bastien Caba, Dawei Liu, Aurélien Lombard, Natasha Novikov, Alexandre Cafaro, Daniel Bradley, Enzo Battistella, Elizabeth Fisher, Nathalie Franchimont, Arie Gafson, Parya Momayyez-Siahkal, Zahra Karim-Aghaloo, Douglas Arnold, Colm Elliott, Nikos Paragios, Shibeshih Belachew

Institutions: Biogen (United States), Supélec, Université Paris-Saclay, CentraleSupélec, NeuroRx Research (Canada), McGill University

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3210087576

FWCI: 0.109

Cites:

Cited by: 1

Related to: 10