Multiple Sclerosis Disease Evolution Assessment in Brain MRI Lesions Based on Texture and Multi-Scale Amplitude Modulation-Frequency Modulation (AM-FM) Features-Reference-Cited by-同舟云学术

Multiple Sclerosis Disease Evolution Assessment in Brain MRI Lesions Based on Texture and Multi-Scale Amplitude Modulation-Frequency Modulation (AM-FM) Features

Published:2023 Issue: Volume:11 Page:29918-29933
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Loizou Christos P.¹^ORCID,Fotso Kevin²,Nicolaou Antria³^ORCID,Pantzaris Marios⁴^ORCID,Pattichis Marios S.²^ORCID,Pattichis Constantinos S.³^ORCID

Affiliation:

1. Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Limassol, Cyprus

2. Department of Biomedical Engineering, The University of New Mexico, Albuquerque, NM, USA

3. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

4. Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus

Funder

European Union’s Horizon 2020 Research and Innovation Program

Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10078881.pdf?arnumber=10078881

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4. Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI

5. Predicting the Development of Normal-Appearing White Matter With Radiomics in the Aging Brain: A Longitudinal Clinical Study

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