Zhicheng Jiao Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Assistant professor

John Brown University

faculty

26 h-index 144 pubs 2,614 cited

Research Areas

Radiomics and Machine Learning in Medical Imaging AI in cancer detection COVID-19 diagnosis using AI Advanced Neural Network Applications Domain Adaptation and Few-Shot Learning Acute Ischemic Stroke Management Stroke Rehabilitation and Recovery Medical Imaging and Analysis

Links

ORCID

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OverviewAI-generated summary

Dr. Zhicheng Jiao is an assistant professor at John Brown University whose research focuses on the intersection of radiomics, machine learning, and medical imaging. He develops advanced neural network applications for cancer detection, COVID-19 diagnosis, and disease prognostication. Jiao's work leverages artificial intelligence to analyze chest X-rays, CT scans, and clinical data for improved patient outcomes. His research has explored the prediction of lung malignancy progression and survival using machine learning based on pre-treatment imaging. Dr. Jiao also investigates domain adaptation and few-shot learning techniques.

Metrics

h-index: 26
Publications: 144
Citations: 2,614

Selected Publications

Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation (2025) DOI
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation (2022) DOI
Abstract No. 128 Machine learning to assess treatment outcomes of microwave ablation for lung tumors based on pre-ablation radiomic features (2022) DOI
Discriminative error prediction network for semi-supervised colon gland segmentation (2022) DOI