# Binsheng Zhao

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/binsheng-zhao/

## Facts

| Field | Value |
| --- | --- |
| Citations | 18,209 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 52 |
| i10-index | 110 |
| OpenAlex ID | https://openalex.org/A5111996693 |
| ORCID iD | https://orcid.org/0009-0009-9934-9141 |
| Works | 173 |

## Researcher papers

- [The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)](https://scholariq.org/papers/the-multimodal-brain-tumor-image-segmentation-benchmark-brats/)
- [Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules](https://scholariq.org/papers/radiomics-machine-learning-signature-for-diagnosis-of-hepatocellular-carcinoma/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [Hepatocellular Carcinoma Treatment and Prognosis](https://scholariq.org/topics/hepatocellular-carcinoma-treatment-and-prognosis/)

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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.