# Fully automated quantitative cephalometry using convolutional neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fully-automated-quantitative-cephalometry-using-convolutional-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sercan Ö. Arık,Bulat Ibragimov,Lei Xing |
| Citations | 304 |
| DOI | 10.1117/1.jmi.4.1.014501 |
| Fields | Arts and Humanities,Dentistry,Engineering |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-4/issue-1/014501/Fully-automated-quantitative-cephalometry-using-convolutional-neural-networks/10.1117/1.JMI.4.1.014501.pdf |
| OpenAlex ID | https://openalex.org/W2569670712 |
| PMID | 28097213 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Bulat Ibragimov](https://scholariq.org/researchers/bulat-ibragimov/)

## Paper primary topic

- [Dental Radiography and Imaging](https://scholariq.org/topics/dental-radiography-and-imaging/)

## Paper topics

- [Dental Radiography and Imaging](https://scholariq.org/topics/dental-radiography-and-imaging/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)
- [Forensic Anthropology and Bioarchaeology Studies](https://scholariq.org/topics/forensic-anthropology-and-bioarchaeology-studies/)

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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.