# Automated analysis of human cochlea shape variability from segmented μ CT images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-analysis-of-human-cochlea-shape-variability-from-segmented-ct-images/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thomas Demarcy,Clair Vandersteen,N. Guevara,Charles Raffaelli,Dan Gnansia,Nicholas Ayache,Hervé Delingette |
| Citations | 27 |
| DOI | 10.1016/j.compmedimag.2017.04.002 |
| Fields | Engineering,Medicine,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://inria.hal.science/hal-01528489v1/file/DemarcyCMIG_1503.pdf |
| OpenAlex ID | https://openalex.org/W2606653758 |
| PMID | 28477465 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Clair Vandersteen](https://scholariq.org/researchers/clair-vandersteen/)

## Paper primary topic

- [Hearing Loss and Rehabilitation](https://scholariq.org/topics/hearing-loss-and-rehabilitation/)

## Paper topics

- [Hearing Loss and Rehabilitation](https://scholariq.org/topics/hearing-loss-and-rehabilitation/)
- [Ultrasound Imaging and Elastography](https://scholariq.org/topics/ultrasound-imaging-and-elastography/)
- [Structural Health Monitoring Techniques](https://scholariq.org/topics/structural-health-monitoring-techniques/)

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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.