# Huazhu Fu

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/huazhu-fu/

## Facts

| Field | Value |
| --- | --- |
| Citations | 28,991 |
| Field | Retinal Imaging and Analysis |
| h-index | 81 |
| i10-index | 256 |
| Last Known Institution | Agency for Science, Technology and Research |
| OpenAlex ID | https://openalex.org/A5010970485 |
| ORCID iD | https://orcid.org/0000-0002-9702-5524 |
| Works | 558 |

## Researcher papers

- [DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field](https://scholariq.org/papers/deepvessel-retinal-vessel-segmentation-via-deep-learning-and-conditional-random/)
- [CS <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msup> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msup> </mml:math> -Net: Deep learning segmentation of curvilinear structures in medical imaging](https://scholariq.org/papers/cs-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si1-svg-mml-msup/)
- [Cross-level Feature Aggregation Network for Polyp Segmentation](https://scholariq.org/papers/cross-level-feature-aggregation-network-for-polyp-segmentation/)
- [ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model](https://scholariq.org/papers/rose-a-retinal-oct-angiography-vessel-segmentation-dataset-and-new-model/)
- [Retinal vessel segmentation via deep learning network and fully-connected conditional random fields](https://scholariq.org/papers/retinal-vessel-segmentation-via-deep-learning-network-and-fully-connected/)
- [A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images](https://scholariq.org/papers/a-deep-learning-system-for-automated-angle-closure-detection-in-anterior-segment/)

## Researcher topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Glaucoma and retinal disorders](https://scholariq.org/topics/glaucoma-and-retinal-disorders/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Retinal Diseases and Treatments](https://scholariq.org/topics/retinal-diseases-and-treatments/)

## Researcher university

- [Agency for Science, Technology and Research](https://scholariq.org/institutions/agency-for-science-technology-and-research/)

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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.