A non-invasive AI-based system for precise grading of anosmia in COVID-19 using neuroimaging-Reference-Cited by-同舟云学术

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A non-invasive AI-based system for precise grading of anosmia in COVID-19 using neuroimaging

Published:2024-06 Issue:12 Volume:10 Page:e32726
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Balaha Hossam Magdy^ORCID,Elgendy Mayada,Alksas Ahmed,Shehata Mohamed^ORCID,Alghamdi Norah Saleh,Taher Fatma,Ghazal Mohammed^ORCID,Ghoneim Mahitab,Abdou Eslam Hamed^ORCID,Sherif Fatma,Elgarayhi Ahmed,Sallah Mohammed^ORCID,Abdelbadie Salem Mohamed,Kamal Elsharawy,Sandhu Harpal,El-Baz Ayman

Funder

Princess Noura Bint AbdulRahman University

Publisher

Elsevier BV

Reference29 articles.

1. Overview of the 2019 novel coronavirus (2019-nCoV): the pathogen of severe specific contagious pneumonia (SSCP);Wu;J. Chin. Med. Assoc.,2020

2. Novel crow swarm optimization algorithm and selection approach for optimal deep learning COVID-19 diagnostic model;Mohammed;Comput. Intell. Neurosci.,2022

3. Effect of covid-19 on the organs;Jain;Cureus,2020

4. Central nervous system outcomes of covid-19;Doyle;Translational Research,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Review of AI Diagnosis Strategies for Age-Related Macular Degeneration (AMD);Bioengineering;2024-07-13

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