Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features-Reference-Cited by-同舟云学术

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Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features

Published:2020-03 Issue:3 Volume:24 Page:815-824
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Harati Sahar^ORCID,Crowell Andrea,Huang Yijian^ORCID,Mayberg Helen^ORCID,Nemati Shamim

Funder

NIH

NIH Loan Repayment

Emory Neuromodulation and Technology Innovation Center

Hope for Depression Research Foundation

NIH BRAIN

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/9025311/08769961.pdf?arnumber=8769961

Cited by 21 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. Behavioral measures of psychotic disorders: Using automatic facial coding to detect nonverbal expressions in video;Journal of Psychiatric Research;2024-08

2. Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns;IEEE Journal of Biomedical and Health Informatics;2024-03

3. A Hybrid Learning-Architecture for Mental Disorder Detection Using Emotion Recognition;IEEE Access;2024

4. Leveraging Novel Technologies and Artificial Intelligence to Advance Practice-Oriented Research;Administration and Policy in Mental Health and Mental Health Services Research;2023-10-25

5. Facing Change: Using Automated Facial Expression Analysis to Examine Emotional Flexibility in the Treatment of Depression;Administration and Policy in Mental Health and Mental Health Services Research;2023-10-25

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