A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19-Reference-Cited by-同舟云学术

A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19

Published:2024-05-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
language:
Short-container-title:

Author:

Balaha Hossam Magdy¹,Elgendy Mayada²,Alksas Ahmed¹,Shehata Mohamed¹,Alghamdi Norah Saleh³,Taher Fatma⁴,Ghazal Mohammed⁵,Ghoneim Mahitab⁶,Hamed Eslam⁷,Sherif Fatma⁶,Elgarayhi Ahmed²,Sallah Mohammed²,Salem Mohamed Abdelbadie⁷,Kamal Elsharawy⁷,Sandhu Harpal¹,El-Baz Ayman¹

Affiliation:

1. University of Louisville,J.B. Speed School of Engineering,Department of Bioengineering,Louisville,USA

2. Mansoura University,Faculty of Science,Applied Theoretical Physics Research Group, Physics Department,Egypt

3. Princess Nourah Bint Abdulrahman University,College of Computer and Information Sciences,Department of Computer Sciences,Saudi Arabia

4. Zayed University,The College of Technological Innovation,Dubai,UAE

5. Abu Dhabi University,Electrical, Computer, and Biomedical Engineering Depatrment,UAE

6. Mansoura University,Faculty of Medicine,Department of Radiology,Egypt

7. Mansoura University,Faculty of Mediine,Otolaryngology Department,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635767.pdf?arnumber=10635767

Reference25 articles.

1. Large-Vessel Stroke as a Presenting Feature of Covid-19 in the Young

2. Loss of Smell and Taste Can Accurately Predict COVID-19 Infection: A Machine-Learning Approach

3. Anosmia in COVID-19 Associated with Injury to the Olfactory Bulbs Evident on MRI

4. Role of Imaging and AI in the Evaluation of COVID-19 Infection: A Comprehensive Survey

5. Olfactory Bulb MRI and Paranasal Sinus CT Findings in Persistent COVID-19 Anosmia