activity
20242026
most citedClassification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer

1 citations · 1 across the 7 of their papers we have counts for

collaborators

12 papers

q-bio.NC2026

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…

cs.CV2026

Conditional Evidence Reconstruction and Decomposition for Interpretable Multimodal Diagnosis

Shaowen Wan, Yanjun Lv, Lu Zhang +5

Neurobiological and neurodegenerative diseases are inherently multifactorial, arising from coupled influences spanning genetic susceptibility, brain alterations, and environmental…

q-bio.NC2026

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…

cs.CV2025

DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging

Huimin Cheng, Xiaowei Yu, Shushan Wu +7

Medical images exhibit latent anatomical groupings, such as organs, tissues, and pathological regions, that standard Vision Transformers (ViTs) fail to exploit. While recent work l…

cs.CV2025

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…

quant-ph2025

MolQAE: Quantum Autoencoder for Molecular Representation Learning

Yi Pan, Hanqi Jiang, Wei Ruan +5

We introduce Quantum Molecular Autoencoder (MolQAE), the first quantum autoencoder to leverage the complete molecular structures. MolQAE uniquely maps SMILES strings directly to qu…