AMAT-Net: An Unbiased Network with High Performance for Metabolic Diseases Prediction Using Facial Images-Reference-Cited by-同舟云学术

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AMAT-Net: An Unbiased Network with High Performance for Metabolic Diseases Prediction Using Facial Images

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Feng Fajin¹,Wang Kai²,Liu Xiaohong³,Gu Qifeng⁴,Wang Guangyu¹

Affiliation:

1. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876

2. Peking University,College of Future Technology,Beijing,China

3. Tsinghua University,Department of Computer Science and Technology,Beijing,China,100084

4. Beijing University of Posts and Telecommunications,School of Economics and Management,Beijing,China,100876

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995329.pdf?arnumber=9995329

Reference22 articles.

1. Huang Di Nei Jing Su Wen

2. Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis

3. Insights into the genetic architecture of the human face

4. Three-dimensional facial-image analysis to predict heterogeneity of the human ageing rate and the impact of lifestyle

5. Qualitative and Quantitative Analysis for Facial Complexion in Traditional Chinese Medicine

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