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 am currently a visiting scholar at the Biomedical Research Imaging Center at the University of North Carolina at Chapel Hill, working with Prof. Gang Li. Previously, I received the B.E. degree from Southeast University, under the supervision of Prof. Youyong Kong.
My research focuses on developing computational methods for surface-based neuroimage analysis and connectomics, with applications to brain development, aging, and disorders. I also 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
- 2026.07: 🎉 One paper was accepted by Imaging Neuroscience.
- 2026.06: 🎉 One paper was accepted by NeuroImage.
- 2026.04: 🎉 One paper was accepted by IEEE TBME.
- 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
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Imaging Neuroscience 2026Fine-Scale Individualized Gyral Folding-Based Cortical Similarity Networks Reveal Distinct Organizational Patterns in Alzheimer’s Disease and Lewy Body Dementia , Minheng Chen, Chao Cao, Tong Chen, Dunia Alhamad, Tianming Liu, Li Su, Dajiang Zhu. [code] [中文解读] -
NeuroImage 2026Community-Level Modeling of Gyral Folding Patterns for Robust and Anatomically Informed Individualized Brain Mapping , Minheng Chen, Tong Chen, Yan Zhuang, Chao Cao, Jing Zhang, Tianming Liu, Lu Zhang, Dajiang Zhu. -
WACV 2026Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization , Minheng Chen, Youyong Kong. (Oral, Round 1 Acceptance, 85/1329; Award Finalists, 13/832) [poster] [slides] [video] [中文解读] -
MLMI 2025GyralNet 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 2025Core-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] -
CVPR 2025Learning 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 2025Using 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 2025Introducing Learning Rate Adaptation CMA-ES Into Rigid Intraoperative 2D/3D Registration for Spinal Surgery , Minheng Chen*, Zhirun Zhang*. [code] [poster] -
ISBI 2024Fully 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 2024Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration , Minheng Chen, Zhirun Zhang, Shuheng Gu, Youyong Kong. [code] [poster]
Education
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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
- 2026.05: 🏆 Graduate Dean’s Research Assistantship, College of Engineering, UTA
- 2026.03: 🏆 IEEE/CVF Winter Conference on Applications of Computer Vision 2026 Award Finalists (13/832)
- 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 2026-27, MIDL 2026, MICCAI 2026, AMIA 2026, BHI 2026
- Journal Reviewer: IEEE Journal of Biomedical and Health Informatics (J-BHI), IEEE Transactions on Medical Imaging (TMI), Medical Image Analysis (MIA)
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