# Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-model-to-quantify-left-atrium-volume-on-routine-non-contrast-chest-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gilberto J. Aquino,Jordan Chamberlin,Megan Mercer,Madison Kocher,Ismail Kabakus,Selçuk Akkaya,Matthew Fiegel,Sean Brady,Nathan Leaphart,Andrew Dippre,Vincent Giovagnoli,Basel Yacoub,Athira Jacob,Mehmet Gulsun,Pooyan Sahbaee,Puneet Sharma,Jeffrey Waltz,U. Joseph Schoepf,Dhiraj Baruah,Tilman Emrich,Stefan L. Zimmerman,Michael E. Field,Ali Agha,Jeremy R. Burt |
| Citations | 20 |
| DOI | 10.1016/j.jcct.2021.12.005 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4226329483 |
| PMID | 34969636 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Megan Mercer](https://scholariq.org/researchers/megan-mercer/)

## Paper journal

- [Journal of cardiovascular computed tomography](https://scholariq.org/journals/journal-of-cardiovascular-computed-tomography/)

## Paper primary topic

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

## Paper topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Cardiac Imaging and Diagnostics](https://scholariq.org/topics/cardiac-imaging-and-diagnostics/)
- [Atrial Fibrillation Management and Outcomes](https://scholariq.org/topics/atrial-fibrillation-management-and-outcomes/)

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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.