# Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/application-of-deep-canonically-correlated-sparse-autoencoder-for-the/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gang Li,Dongwoo Han,Chao Wang,Wenxing Hu,Vince D. Calhoun,Yu‐Ping Wang |
| Citations | 70 |
| DOI | 10.1016/j.cmpb.2019.105073 |
| Fields | Engineering,Mathematics,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2973151618 |
| PMID | 31525548 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Chao Wang](https://scholariq.org/researchers/chao-wang/)

## Paper journal

- [Computer Methods and Programs in Biomedicine](https://scholariq.org/journals/computer-methods-and-programs-in-biomedicine/)

## Paper primary topic

- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)

## Paper topics

- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)
- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)

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