An Automated Detection of Amyotrophic Lateral Sclerosis from Resting-State MEG Data Using 3D Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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An Automated Detection of Amyotrophic Lateral Sclerosis from Resting-State MEG Data Using 3D Deep Convolutional Neural Network

Published:2023-10-01 Issue: Volume: Page:3337-3342
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Samanta Kaniska¹,Roy Sujit²,Marchand-Pauvert Veronique³,Dora Shirin⁴,Duguez Stephanie⁵,Singh Muskaan¹,Prasad Girijesh¹,Bhattacharyya Saugat¹

Affiliation:

1. Ulster University,Intelligent System Research Center,United Kingdom

2. Brainalive Research Pvt. Ltd.,Kanpur,India,208001

3. Sorbonne Universités, UPMC Univ Paris 06,CNRS, Inserm, Laboratoire d'Imagerie Biomédicale,France

4. Loughborough University,Dept. of Computer Science,United Kingdom

5. School of Biomedical Sciences, Ulster University,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10393987.pdf?arnumber=10393987

Reference29 articles.

1. The Biogenesis of miRNAs and Their Role in the Development of Amyotrophic Lateral Sclerosis

2. Abnormal cortical brain integration of somatosensory afferents in ALS

3. Electrophysiological and spinal imaging evidences for sensory dysfunction in amyotrophic lateral sclerosis

4. Brain Connectivity and Network Analysis in Amyotrophic Lateral Sclerosis

5. Classification of amyotrophic lateral sclerosis by brain volume, connectivity, and network dynamics

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