# Deep learning-based plane pose regression in obstetric ultrasound

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-plane-pose-regression-in-obstetric-ultrasound/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chiara Di Vece,Brian Dromey,Francisco Vasconcelos,Anna L. David,Donald Peebles,Danail Stoyanov |
| Citations | 18 |
| DOI | 10.1007/s11548-022-02609-z |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s11548-022-02609-z.pdf |
| OpenAlex ID | https://openalex.org/W4225144609 |
| PMID | 35489005 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Chiara Di Vece](https://scholariq.org/researchers/chiara-di-vece/)

## 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

- [Fetal and Pediatric Neurological Disorders](https://scholariq.org/topics/fetal-and-pediatric-neurological-disorders/)

## Paper topics

- [Fetal and Pediatric Neurological Disorders](https://scholariq.org/topics/fetal-and-pediatric-neurological-disorders/)
- [Neonatal and fetal brain pathology](https://scholariq.org/topics/neonatal-and-fetal-brain-pathology/)
- [Prenatal Screening and Diagnostics](https://scholariq.org/topics/prenatal-screening-and-diagnostics/)

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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.