# Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparative-validation-of-machine-learning-algorithms-for-surgical-workflow-and-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Martin Wagner,Beat P. Müller‐Stich,Anna Kisilenko,Duc A. Tran,Patrick Heger,Lars Mündermann,David M Lubotsky,Benjamin Müller,Tornike Davitashvili,Manuela Capek,Annika Reinke,Tong Yu,Armine Vardazaryan,Chinedu Innocent Nwoye,Nicolas Padoy,Xinyang Liu,Eung-Joo Lee,Constantin Disch,Hans Meine,Tong Xia,Fucang Jia,Satoshi Kondo,Wolfgang Reiter,Yueming Jin,Yonghao Long,Meirui Jiang,Qi Dou,Pheng‐Ann Heng,Isabell Twick,Kadir Kirtac,Enes Hosgor,Jon Lindström Bolmgren,Michael Stenzel,Björn von Siemens,Hannes Kenngott,Felix Nickel,Moritz von Frankenberg,Franziska Mathis-Ullrich,Maier-Hein, Lena,Stefanie Speidel,Sebastian Bodenstedt |
| Citations | 6 |
| DOI | 10.48550/arxiv.2109.14956 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2109.14956 |
| OpenAlex ID | https://openalex.org/W4321437063 |
| Type | preprint |
| Year | 2021 |

## Paper authors

- [Anna Kisilenko](https://scholariq.org/researchers/anna-kisilenko/)
- [Tornike Davitashvili](https://scholariq.org/researchers/tornike-davitashvili/)

## 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/)
- [Cardiac, Anesthesia and Surgical Outcomes](https://scholariq.org/topics/cardiac-anesthesia-and-surgical-outcomes/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
