# Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimizing-ensemble-u-net-architectures-for-robust-coronary-vessel-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shih‐Sheng Chang,Ching‐Ting Lin,Wei‐Chun Wang,Kai-Cheng Hsu,Ya-Lun Wu,Chia‐Hao Liu,Yang C. Fann |
| Citations | 19 |
| DOI | 10.1038/s41598-024-57198-5 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-024-57198-5.pdf |
| OpenAlex ID | https://openalex.org/W4392938246 |
| PMID | 38503839 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ya-Lun Wu](https://scholariq.org/researchers/ya-lun-wu/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Paper topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Coronary Interventions and Diagnostics](https://scholariq.org/topics/coronary-interventions-and-diagnostics/)
- [Cerebrovascular and Carotid Artery Diseases](https://scholariq.org/topics/cerebrovascular-and-carotid-artery-diseases/)

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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.