# A novel, low-cost, reusable, high-fidelity neurosurgical training simulator for cerebrovascular bypass surgery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-low-cost-reusable-high-fidelity-neurosurgical-training-simulator-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ulaş Cıkla,Balkan Şahin,Şahin Hanalıoğlu,Azam Ahmed,David Niemann,Mustafa K. Başkaya |
| Citations | 36 |
| DOI | 10.3171/2017.11.jns17318 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://thejns.org/downloadpdf/journals/j-neurosurg/130/5/article-p1663.pdf |
| OpenAlex ID | https://openalex.org/W2801380193 |
| PMID | 29749910 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Şahin Hanalıoğlu](https://scholariq.org/researchers/sahin-hanal-oglu/)

## Paper journal

- [Journal of neurosurgery](https://scholariq.org/journals/journal-of-neurosurgery/)

## Paper primary topic

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Paper topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Anatomy and Medical Technology](https://scholariq.org/topics/anatomy-and-medical-technology/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-applications/)

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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.