# Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-adjacent-segment-disease-at-preoperative-mri-for-cervical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Caroline M.W. Goedmakers,Asad M. Lak,Akiro H. Duey,Alexander W. Senko,Omar Arnaout,Michael W. Groff,Timothy R. Smith,Carmen Vleggeert‐Lankamp,Hasan A. Zaidi,Aakanksha Rana,Alessandro Boaro |
| Citations | 33 |
| DOI | 10.1148/radiol.2021204731 |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3201509474 |
| PMID | 34546126 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Akiro H. Duey](https://scholariq.org/researchers/akiro-h-duey/)

## Paper primary topic

- [Cervical and Thoracic Myelopathy](https://scholariq.org/topics/cervical-and-thoracic-myelopathy/)

## Paper topics

- [Cervical and Thoracic Myelopathy](https://scholariq.org/topics/cervical-and-thoracic-myelopathy/)
- [Spine and Intervertebral Disc Pathology](https://scholariq.org/topics/spine-and-intervertebral-disc-pathology/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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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.