# A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-deep-learning-paradigm-for-carotid-plaque-tissue-characterization-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sanagala S. Skandha,Andrew Nicolaides,Suneet Gupta,Vijaya Kumar Koppula,Luca Saba,Amer M. Johri,Manudeep S. Kalra,Jasjit S. Suri |
| Citations | 68 |
| DOI | 10.1016/j.compbiomed.2021.105131 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4200225381 |
| PMID | 34922173 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Suneet Gupta](https://scholariq.org/researchers/suneet-gupta/)

## Paper primary topic

- [Cerebrovascular and Carotid Artery Diseases](https://scholariq.org/topics/cerebrovascular-and-carotid-artery-diseases/)

## Paper topics

- [Cerebrovascular and Carotid Artery Diseases](https://scholariq.org/topics/cerebrovascular-and-carotid-artery-diseases/)
- [Cardiovascular Health and Disease Prevention](https://scholariq.org/topics/cardiovascular-health-and-disease-prevention/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.