# Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/depth-over-rgb-automatic-evaluation-of-open-surgery-skills-using-depth-camera/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ido Zuckerman,Nicole E. Werner,Jonathan Kouchly,Emma Huston,Shannon M. DiMarco,Paul DiMusto,Shlomi Laufer |
| Citations | 0 |
| DOI | 10.48550/arxiv.2401.10037 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2401.10037 |
| OpenAlex ID | https://openalex.org/W4391047185 |
| Type | preprint |
| Year | 2024 |

## Paper authors

- [Ido Zuckerman](https://scholariq.org/researchers/ido-zuckerman/)
- [Emma Huston](https://scholariq.org/researchers/emma-huston/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## 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.