# Deep neural network‐based computer‐assisted detection of cerebral aneurysms in MR angiography

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-neural-network-based-computer-assisted-detection-of-cerebral-aneurysms-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Takahiro Nakao,Shouhei Hanaoka,Yukihiro Nomura,Issei Sato,Mitsutaka Nemoto,Soichiro Miki,Eriko Maeda,T. Yoshikawa,Naoto Hayashi,Osamu Abe |
| Citations | 192 |
| DOI | 10.1002/jmri.25842 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2746587344 |
| PMID | 28836310 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Yukihiro Nomura](https://scholariq.org/researchers/yukihiro-nomura/)

## Paper primary topic

- [Intracranial Aneurysms: Treatment and Complications](https://scholariq.org/topics/intracranial-aneurysms-treatment-and-complications/)

## Paper topics

- [Intracranial Aneurysms: Treatment and Complications](https://scholariq.org/topics/intracranial-aneurysms-treatment-and-complications/)
- [Intracerebral and Subarachnoid Hemorrhage Research](https://scholariq.org/topics/intracerebral-and-subarachnoid-hemorrhage-research/)
- [Vascular Malformations Diagnosis and Treatment](https://scholariq.org/topics/vascular-malformations-diagnosis-and-treatment/)

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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.