# Patient-specific estimation of detailed cochlear shape from clinical CT images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/patient-specific-estimation-of-detailed-cochlear-shape-from-clinical-ct-images/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hans Martin Kjer,Jens Fagertun,Wilhelm Wimmer,Nicolas Gerber,Sergio Vera,Livia Barazzetti,Nerea Mangado,Mario Ceresa,Gemma Piella,Thomas Stark,Martin Stauber,Mauricio Reyes,Stefan Weber,Marco Caversaccio,Miguel Á. González Ballester,Rasmus R. Paulsen |
| Citations | 25 |
| DOI | 10.1007/s11548-017-1701-7 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://boris.unibe.ch/109031/ |
| OpenAlex ID | https://openalex.org/W2782375777 |
| PMID | 29305790 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Hans Martin Kjer](https://scholariq.org/researchers/hans-martin-kjer/)

## Paper journal

- [International Journal of Computer Assisted Radiology and Surgery](https://scholariq.org/journals/international-journal-of-computer-assisted-radiology-and-surgery/)

## 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/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-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.