Projects

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Exploring Innovation Across Disciplines

Welcome to my project gallery, where interdisciplinary innovation meets real-world applications. This collection showcases my work in AI, computer vision, data science, and biomedical informatics, with projects spanning healthcare, neuroscience, and machine learning. Each initiative reflects my commitment to advancing technology's role in understanding complex systems, enhancing clinical decision-making, and creating data-driven solutions. Explore these projects to see how I blend research and practical problem-solving across diverse domains, pushing the boundaries of what's possible in both science and technology.

CVD-Dermoscopic-Image-ICL-GPT4

How LLM can help in color-sensitive medical cases. Compensate the communication gap between CVD physicians and patients.

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Dermoscopic-Image-ICL-GPT4

This project aims to classify dermoscopic images as melanoma or benign using few-shot learning techniques.

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ChatGPT-Interprets-Scientific-Images

This project systematically evaluated how ChatGPT can interpret the Scientific figures.

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Critical-Period-Analysis

A computational explanation for face-learning behaviors by using deep artificial neural networks

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Morning-Glory-Detection

An image processing based morning glory detection tool with Matlab UI

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ID-selective

This project compare and link the sparse coding of face identities between human neurons and DNN units.

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