😉 About Me

I am a fourth-year undergraduate student studying computer science and technology at Hangzhou Dianzi University where I am advised by Prof. Ruiquan Ge and Prof. Changmiao Wang. And I plan to pursue my master’s degree at the Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, and also with the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China, advised by Prof. Yikun Zhang specialized in SAM And Diffusion Model-Based CT Metal Artifact Reduction (MAR).

I have a broad interest in deep learning models, with a primary focus on Medical Image Analysis and Generative Models. I am also an enthusiastic self-learner and interested in various fields of computer science.

📫 How to contact me: bennychan@hdu.edu.cn.

GitHub User's stars GitHub followers

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📖 Educations

  • 2021.09 - 2025.06, Undergraduate student (Double Degree): Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China
  • 2021.09 - 2025.06, Undergraduate student (Double Degree): Computer Science and Technology, ITMO University, Saint Petersburg, Russia
  • 2025.09 - 2028.06, Master student: Computer Science and Technology, Southeast University, Nanjing, China

💻 Internships

🔥 News

🏅 Honors

  • 2024-2025: Outstanding Graduation Thesis of Hangzhou Dianzi University (Top 0.2%)
  • 2024-2025: Zhejiang Provincial Outstanding Graduate (Top 0.3%)
  • 2023-2024: National Scholarship (Top 0.4%)
  • 2023-2024: Top 10 Students of HDU-ITMO Joint Institute (Top 1.25%)
  • 2022-2023: Zhejiang Provincial Government Scholarship (Top 3%)
  • 2021-2022: Zhejiang Provincial Government Scholarship (Top 3%)

💰 Funding

  • 2024: National Undergraduate Innovation and Entrepreneurship Training Program (Key Member), 💰CNY 10,000.
  • 2024: Zhejiang Provincial Undergraduate Scientific and Technological Innovation Activities Program (Key Member), 💰CNY 10,000.

💡 Publications

Please visit my Google Scholar page for full publications.

arXiv preprint 2024
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BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models

Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge

IEEE ISBI 2024 (Oral)
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BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images

Zhanghao Chen, Yifei Sun, Wenjian Qin, Ruiquan Ge, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang

JBHI 2024
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UWAFA-GAN: ultra-wide-angle fluorescein angiography transformation via multi-scale generation and registration enhancement

Ruiquan Ge, Zhaojie Fang, Pengxue Wei, Zhanghao Chen, Hongyang Jiang, Ahmed Elazab, Wangting Li, Xiang Wan, Shaochong Zhang, Changmiao Wang

MICCAI 2023
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Uwat-gan: Fundus fluorescein angiography synthesis via ultra-wide-angle transformation multi-scale gan

Zhaojie Fang, Zhanghao Chen, Pengxue Wei, Wangting Li, Shaochong Zhang, Ahmed Elazab, Gangyong Jia, Ruiquan Ge, Changmiao Wang

ICSIP 2023
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RTUNet++: Assessment of Osteosarcoma MRI Image Segmentation leveraging Hybrid CNN-Transformer Approach with Dense Skip Connection

Binfeng Zou, Yifei Chen, Zhanghao Chen, Yifei Sun, Yifan Huang, Feiwei Qin*, Changmiao Wang

🧑🏻‍💻 Software

2024.11
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🎼 My Favorite Music

2025.05
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Bicycle by Eason Chan

单车(粤)陈奕迅

🤝 Collaborator

Yifei Sun in Hangzhou Dianzi University

Yifei Chen in Tsinghua University

Yikun Zhang in Southeast University

Zhaojie Fang in The Chinese University of Hong Kong, Shenzhen

Ruiquan Ge in Hangzhou Dianzi University

Changmiao Wang in Shenzhen Research Institute of Big Data