Facial Expression Guided Diagnosis of Parkinson's Disease Via High-Quality Data Augmentation-Reference-Cited by-同舟云学术

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Facial Expression Guided Diagnosis of Parkinson's Disease Via High-Quality Data Augmentation

Published:2022 Issue: Volume: Page:1-14
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Huang Wei¹^ORCID,Zhou Yintao¹^ORCID,Cheung Yiu-ming²^ORCID,Zhang Peng³,Zha Yufei³^ORCID,Pang Meng⁴^ORCID

Affiliation:

1. School of Mathematics and Computer Sciences, Nanchang University, Nanchang, China

2. Department of Computer Science, Hong Kong Baptist University, Hong Kong, China

3. School of Computer Science, Northwestern Polytechnical University, Xi'an, China

4. School of Mathematics and Computer Sciences and the Institute of Mathematics and Interdisciplinary Sciences, Nanchang University, Nanchang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Ningbo

NSFC / Research Grants Council (RGC) Joint Research Scheme

General Research Fund of RGC

Hong Kong Baptist University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09928376.pdf?arnumber=9928376

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. Leveraging multimodal deep learning framework and a comprehensive audio-visual dataset to advance Parkinson’s detection;Biomedical Signal Processing and Control;2024-09

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