22 citations · 40 across the 15 of their papers we have counts for
15 papers
SC-TauPath: A Structural Connectivity Attribution Framework for Mapping Tau Propagation Pathways in Alzheimer's Disease
Jing Zhang, Norman Scheel, Minheng Chen +5
Understanding how structural connections are associated with tau propagation in Alzheimer's disease (AD) remains a central open question, yet existing computational models either r…
Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
Minheng Chen, Chao Cao, Jing Zhang +2
Functional connectivity (FC) derived from resting-state fMRI is widely used to characterize large-scale brain network alterations in neurological and psychiatric disorders. However…
Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis
Minheng Chen, Tong Chen, Chao Cao +4
Alzheimer's disease (AD) and Lewy body dementia (LBD) present overlapping clinical features yet require distinct diagnostic strategies. While neuroimaging-based brain network analy…
Community-Level Modeling of Gyral Folding Patterns for Robust and Anatomically Informed Individualized Brain Mapping
Minheng Chen, Tong Chen, Yan Zhuang +5
Cortical folding exhibits substantial inter-individual variability while preserving stable anatomical landmarks that enable fine-scale characterization of cortical organization. Am…
Gyral-Sulcal-Net: An Integrated Network Representation of Brain Folding Patterns
Chao Cao, Tong Chen, Nan Zhao +7
Our brain functions as a complex communication network, and studying it from a network perspective offers valuable insights into its organizational principles and links to cognitiv…
Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis
Jing Zhang, Xiaowei Yu, Minheng Chen +8
Integrating brain imaging data with clinical reports offers a valuable opportunity to leverage complementary multimodal information for more effective and timely diagnosis in pract…
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
Xiaowei Yu, Jing Zhang, Tong Chen +8
Lewy Body Disease (LBD) is a common yet understudied form of dementia that imposes a significant burden on public health. It shares clinical similarities with Alzheimer's disease (…
GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization
Yan Zhuang, Minheng Chen, Chao Cao +7
Understanding the structural and functional organization of the human brain requires a detailed examination of cortical folding patterns, among which the three-hinge gyrus (3HG) ha…
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
Minheng Chen, Xiaowei Yu, Jing Zhang +7
Understanding the organization of human brain networks has become a central focus in neuroscience, particularly in the study of functional connectivity, which plays a crucial role…
Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer
Jing Zhang, Yanjun Lyu, Xiaowei Yu +7
Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (rs-fMRI) is an advanced technique for capturing the dynamic changes of neural activ…
Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models
Jing Zhang, Xiaowei Yu, Yanjun Lyu +7
Understanding brain disorders is crucial for accurate clinical diagnosis and treatment. Recent advances in Multimodal Large Language Models (MLLMs) offer a promising approach to in…
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns
Minheng Chen, Chao Cao, Tong Chen +7
The 3-hinge gyrus (3HG) is a newly defined folding pattern, which is the conjunction of gyri coming from three directions in cortical folding. Many studies demonstrated that 3HGs c…
Evaluation of OpenAI o1: Opportunities and Challenges of AGI
Tianyang Zhong, Zhengliang Liu, Yi Pan +74
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, includi…
GP-GPT: Large Language Model for Gene-Phenotype Mapping
Yanjun Lyu, Zihao Wu, Lu Zhang +11
Pre-trained large language models(LLMs) have attracted increasing attention in biomedical domains due to their success in natural language processing. However, the complex traits a…
NoisyNN: Exploring the Impact of Information Entropy Change in Learning Systems
Xiaowei Yu, Zhe Huang, Minheng Chen +3
We investigate the impact of entropy change in deep learning systems by noise injection at different levels, including the embedding space and the image. The series of models that…