# Predicting clinical scores for Alzheimer’s disease based on joint and deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-clinical-scores-for-alzheimer-s-disease-based-on-joint-and-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Baiying Lei,Enmin Liang,Mengya Yang,Peng Yang,Feng Zhou,Ee-Leng Tan,Yi Lei,Chuan-Ming Liu,Tianfu Wang,Xiaohua Xiao,Shuqiang Wang |
| Citations | 98 |
| DOI | 10.1016/j.eswa.2021.115966 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3204772083 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Xiaohua Xiao](https://scholariq.org/researchers/xiaohua-xiao/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Advanced Neuroimaging Techniques and Applications](https://scholariq.org/topics/advanced-neuroimaging-techniques-and-applications/)

## Paper topics

- [Advanced Neuroimaging Techniques and Applications](https://scholariq.org/topics/advanced-neuroimaging-techniques-and-applications/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.