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Contact


✉️ mxc2442@mavs.uta.edu

📍 Arlington, TX, USA

🌐 Google Scholar

🌐 Github Homepage

<aside> Ph.D Student Department of Computer Science and Engineering University of Texas at Arlington Office: SEIR 222KK

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I’m a first-year PhD student in the Department of Computer Science and Engineering at the University of Texas at Arlington, advised by Prof. Dajiang Zhu, and I’m also a member of the Medical Imaging and Neuroscientific Discovery Laboratory (MIND). Previously, I received the B. E. degree from Southeast University, under the supervision of Prof. Youyong Kong. My research currently focuses on developing advanced computational methods for imaging-based brain biomarkers and brain disease diagnosis. Additionally, I have a long-standing interest in designing efficient algorithms for image-guided interventions and computer-aided diagnosis.

I’m always happy to talk about research, feel free to reach out if our interests overlap!

News

Education


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Ph.D. in Computer Science (2024-Present) University of Texas at Arlington, TX, United States Advisor: Dajiang Zhu

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B.E. in Computer Science and Technology (2020-2024) Southeast University, Nanjing, China Thesis: A Study on 2D/3D Spinal Image Registration Based on Self-Supervised Learning
Advisor: Youyong Kong

Thesis (in Chinese)

Publications

* indicates equal contribution.


Sheng Zhang, Minheng Chen, Hongxuan Li, Youyong Kong. Pro-Tuning: Prototype Tuning of Foundation Models for Volumetric Medical Image Segmentation, IEEE Transactions on Biomedical Engineering. (Under review)

Tonglong Li, Minheng Chen, Mingying Li, Chuanyou Li, Youyong Kong. Automatic X-ray to CT Registration Using Embedding Reconstruction and Lite Cross-Attention, Medical Physics. (Under review)

Minheng Chen, Zhirun Zhang, Shuheng Gu, Zhangyang Ge, Youyong Kong. Fully Differentiable Correlation-driven 2D/3D Registration for X-Ray to CT Image Fusion, 2024 IEEE International Symposium on Biomedical Imaging (ISBI). [code] Minheng Chen, Tonglong Li*, Zhirun Zhang*, Youyong Kong.* An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES, arXiv preprint arXiv:2402.05642, 2024. [code]

Minheng Chen, Zhirun Zhang, Shuheng Gu, Youyong Kong. Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2024). [code]

Sheng Zhang, Hongxuan Li, Minheng Chen, Mingying Li, Miao Liu, Junxian Wu, Cheng Xue, Youyong Kong. SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation, Artificial Intelligence in Medicine. (Under review)

Academic Services


Conference Reviewer: ISBI 2025

The human brain 🧠is thought to consist of $10^{11}$ neurons, about the same number as the stars in our galaxy ✨*.*