About Me

I’m a Second-year PhD student in the Department of Computer Science and Engineering at 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). I will be a visiting scholar at Biomedical Research Imaging Center at the University of North Carolina at Chapel Hill this summer, working with Prof. Gang Li. 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 disease diagnosis and representation learning frameworks for brain network analysis. 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

• 2026.01: 🎉 Four papers were accepted by ISBI 2026 (2 oral, 2 poster)
• 2025.09: 🎉 One paper was accepted by WACV 2026. (Round 1 accepted, 85/1329)
• 2025.06: 🎉 Three papers were accepted by MICCAI 2025. (2 were early accepted)
• 2025.05: 🎉 One paper was accepted by Medical Physics.
• 2025.04: 🎉 One abstract was accepted by AAIC 2025
• 2025.02: 🎉 One paper was accepted by CVPR 2025
• 2025.01: 🎉 Five papers were accepted by ISBI 2025. (1 oral, 4 poster)

📝 Selected Publications

• WACV 2026 Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization , Minheng Chen, Youyong Kong. (Oral, Round 1 Acceptance, 85/1329) [poster] [slides] [video] [中文解读]
• MLMI 2025 GyralNet Sub-network Partitioning via Differentiable Spectral Modularity Optimization , Yan Zhuang*, Minheng Chen*, Chao Cao, Tong Chen, Jing Zhang, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu. [code] [poster]
• MICCAI 2025 Core-Periphery Principle Guided State Space Model for Functional Connectome Classification , Minheng Chen, Xiaowei Yu, Jing Zhang, Tong Chen, Chao Cao, Yan Zhuang, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu. (Early Acceptance, Top 9%) [code] [poster]
• MICCAI 2025 A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features , Tong Chen, Minheng Chen, Jing Zhang, Yan Zhuang, Chao Cao, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu. (Early Acceptance, Top 9%)
• CVPR 2025 Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images , Junxian Wu, Minheng Chen, Xinyi Ke, Tianwang Xun, Xiaoming Jiang, Hongyu Zhou, Lizhi Shao, Youyong Kong. [code] [中文解读]
• ISBI 2025 Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns , Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, Dajiang Zhu. [code] [poster]
• ISBI 2025 Introducing Learning Rate Adaptation CMA-ES Into Rigid Intraoperative 2D/3D Registration for Spinal Surgery , Minheng Chen*, Zhirun Zhang*. [code] [poster]
• Medical Physics Automatic X-ray to CT Registration Using Embedding Reconstruction and Lite Cross-Attention , Tonglong Li, Minheng Chen, Mingying Li, Chuanyou Li, Youyong Kong. (JCR Q1)
• Artificial Intelligence in Medicine SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation , Sheng Zhang, Hongxuan Li, Minheng Chen, Mingying Li, Miao Liu, Junxian Wu, Cheng Xue, Youyong Kong. (JCR Q1, IF=6.2)
• ISBI 2024 Fully Differentiable Correlation-driven 2D/3D Registration for X-Ray to CT Image Fusion , Minheng Chen, Zhirun Zhang, Shuheng Gu, Zhangyang Ge, Youyong Kong. [code] [poster]
• ICASSP 2024 Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration , Minheng Chen, Zhirun Zhang, Shuheng Gu, Youyong Kong. [code] [poster]

🎓 Education

• 2024–Present: Ph.D. in Computer Science
  University of Texas at Arlington, TX, United States
  Advisor: Dajiang Zhu
• 2020–2024: B.E. in Computer Science and Technology
  Southeast University, Nanjing, China
  Thesis: A Study on 2D/3D Spinal Image Registration Based on Self-Supervised Learning
  Advisor: Youyong Kong

🎖 Honors and Awards

• 2024.06: 🏆 Outstanding Undergraduate Thesis, Southeast University (Top 3%)
• 2024.06: 🏆 Outstanding Undergraduate Thesis, Jiangsu Province (35 awardees from Southeast University each year)

🧑‍⚖️ Academic Services

• Conference Reviewer:ISBI 2025-26, AAAI 2026, MIDL 2026, MICCAI 2026, AMIA 2026
• Journal Reviewer:IEEE Journal of Biomedical and Health Informatics (J-BHI), IEEE Transactions on Medical Imaging (TMI)

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