# Generating Rare Surgical Events Using CycleGAN: Addressing Lack of Data for Artificial Intelligence Event Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generating-rare-surgical-events-using-cyclegan-addressing-lack-of-data-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hossein Mohamadipanah,LaDonna E. Kearse,Brett Wise,Leah M. Backhus,Carla M. Pugh |
| Citations | 10 |
| DOI | 10.1016/j.jss.2022.11.008 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4310013153 |
| PMID | 36442259 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Hossein Mohamadipanah](https://scholariq.org/researchers/hossein-mohamadipanah/)

## Paper journal

- [Journal of Surgical Research](https://scholariq.org/journals/journal-of-surgical-research/)

## 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/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.