# 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/

## 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 | 5 |
| DOI | 10.2139/ssrn.3857635 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.2139/ssrn.3857635 |
| OpenAlex ID | https://openalex.org/W3172917273 |
| Type | preprint |
| Year | 2021 |

## Paper authors

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

## Paper journal

- [SSRN Electronic Journal](https://scholariq.org/journals/ssrn-electronic-journal/)

## Paper primary topic

- [Cardiac Imaging and Diagnostics](https://scholariq.org/topics/cardiac-imaging-and-diagnostics/)

## Paper topics

- [Cardiac Imaging and Diagnostics](https://scholariq.org/topics/cardiac-imaging-and-diagnostics/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)

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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.