Fangyu Zuo

ORCID: 0009-0003-9207-9325
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About
Contact & Profiles
Research Areas
  • Retinal Imaging and Analysis
  • Dementia and Cognitive Impairment Research
  • Gaze Tracking and Assistive Technology
  • Visual Attention and Saliency Detection

Tianjin University
2024

Alzheimer's Disease (AD) is a neurodegenerative disorder that causes continuous decline in cognitive functions and eventually results death. An early AD diagnosis important for taking active measures to slow its deterioration. Traditional diagnoses are usually based on clinical experience, which limited by several realistic factors. In this paper, we focus exploiting deep learning techniques diagnose eye-tracking behaviors. Visual attention, as typical behavior, of great value detecting...

10.1109/jbhi.2024.3365172 article EN IEEE Journal of Biomedical and Health Informatics 2024-02-13

Early diagnosis of Alzheimer's Disease (AD) is very important for following medical treatments, and eye movements under special visual stimuli may serve as a potential non-invasive biomarker detecting cognitive abnormalities AD patients. In this paper, we propose an Depth-induced saliency comparison network (DISCN) movement analysis, which be used the Alzheimers disease. DISCN, salient attention module fuses normal with RGB depth maps using hierarchical (SAA) to evaluate comprehensive maps,...

10.48550/arxiv.2403.10124 preprint EN arXiv (Cornell University) 2024-03-15

Alzheimer's Disease (AD) causes a continuous decline in memory, thinking, and judgment. Traditional diagnoses are usually based on clinical experience, which is limited by some realistic factors. In this paper, we focus exploiting deep learning techniques to diagnose AD eye-tracking behaviors. Visual attention, as typical behavior, of great value detect cognitive abnormalities patients. To better analyze the differences visual attention between patients normals, first conduct 3D...

10.48550/arxiv.2303.06868 preprint EN cc-by arXiv (Cornell University) 2023-01-01
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