# Towards accurate surgical workflow recognition with convolutional networks and transformers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-accurate-surgical-workflow-recognition-with-convolutional-networks-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bokai Zhang,Julian Ronald Abbing,Amer Ghanem,Danyal Fer,Jocelyn Barker,Rami Abukhalil,Varun Goel,Fausto Milletarì |
| Citations | 25 |
| DOI | 10.1080/21681163.2021.2002191 |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3215466375 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Jocelyn Barker](https://scholariq.org/researchers/jocelyn-barker/)

## 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/)
- [Digital Imaging in Medicine](https://scholariq.org/topics/digital-imaging-in-medicine/)

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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.