# Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-detection-of-clinical-operations-in-robot-assisted/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bulat Ibragimov,Janet Zhen,Elif Ayvali |
| Citations | 5 |
| DOI | 10.1109/access.2023.3305246 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/10005208/10217814.pdf |
| OpenAlex ID | https://openalex.org/W4385834533 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Bulat Ibragimov](https://scholariq.org/researchers/bulat-ibragimov/)
- [Janet Zhen](https://scholariq.org/researchers/janet-zhen/)
- [Elif Ayvali](https://scholariq.org/researchers/elif-ayvali/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Renal and Vascular Pathologies](https://scholariq.org/topics/renal-and-vascular-pathologies/)

## Paper topics

- [Renal and Vascular Pathologies](https://scholariq.org/topics/renal-and-vascular-pathologies/)
- [Kidney Stones and Urolithiasis Treatments](https://scholariq.org/topics/kidney-stones-and-urolithiasis-treatments/)
- [Pediatric Urology and Nephrology Studies](https://scholariq.org/topics/pediatric-urology-and-nephrology-studies/)

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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.