Cover Image

Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Xiaoyu, Tian, Xu, Jiao, Bin, Cui, Kunbo, Lin, Hanhe, Shen, Lu, Liu, Jin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph and Skipped Transformer: Exploiting Spatial and Temporal Modeling Capacities for Efficient 3D Human Pose Estimation
by: Cui, Mengmeng, et al.
Published: (2024)

Performance Analysis of Spatiotemporal 2-D Polar Codes for Massive MIMO with MMSE Receivers
by: Li, Yaqi, et al.
Published: (2025)

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
by: Li, Ludi, et al.
Published: (2025)

Multidimensional Modeling of Biological Aging: Integrating Gait, Eye Movement, Rest‐State Functional Connectivity, and Plasma Biomarkers in non Dementia Elderly Individuals
by: Jingyi Lin, et al.
Published: (2024)

Prefrontal Internal Event‐Driven Analysis of Dynamical Electroencephalographic Biomarkers in Depression During Emotional Auditory Task
by: Qinglin Zhao, et al.
Published: (2025)

Learning from History: A Retrieval-Augmented Framework for Spatiotemporal Prediction
by: Jia, Hao, et al.
Published: (2025)

Review of the MMSE as a Pre‐Screening Tool for Dementia in Clinical Trials
by: Pamela Voccia, et al.
Published: (2024)

Genetics of Dementia with Lewy Bodies in a Chinese Population
by: Lu Shen, et al.
Published: (2024)

Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task
by: Fan, Sunqi, et al.
Published: (2025)

Intelligent Task Management via Dynamic Multi-region Division in LEO Satellite Networks
by: Song, Zixuan, et al.
Published: (2025)

Alignment is All You Need: A Training-free Augmentation Strategy for Pose-guided Video Generation
by: Jin, Xiaoyu, et al.
Published: (2024)

Predicting Objective Cognitive Impairment on MMSE with CDFAQ
by: Caio Peixoto Tavares, et al.
Published: (2024)

Development of Machine Learning Models with Blood‐based Digital Biomarkers for Diagnosis of Alzheimer's Disease
by: Bin Jiao, et al.
Published: (2025)

Association between resting‐state EEG features and cognition in dementia: A community‐based cohort study
by: Xiaoyan Liang, et al.
Published: (2025)

Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction
by: Nguyen, Tu
Published: (2019)

Genetic Spectrum Features and Diagnostic Performance of Four Plasma Biomarkers in 245 Patients with Frontotemporal Dementia
by: Lu Shen, et al.
Published: (2024)

EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
by: Zheng, Ruifeng, et al.
Published: (2025)

Early Prediction of MMSE & CSI‐D Scores with AI
by: Daniel Crovo, et al.
Published: (2025)

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
by: Liu, Jin, et al.
Published: (2023)

MMG: Mutual Information Estimation via the MMSE Gap in Diffusion
by: Yu, Longxuan, et al.
Published: (2025)

MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database
by: Chang, Jiashuo, et al.
Published: (2025)

OTFS-based Robust MMSE Precoding Design in Over-the-air Computation
by: Zhou, Dongkai, et al.
Published: (2023)

Markovian Continuity of the MMSE
by: Domanovitz, Elad, et al.
Published: (2025)

Does Demographic Normalisation Improve the Accuracy of the MoCA and the MMSE for Detecting Mild Cognitive Impairment and Early Dementia ?
by: Kamlesh Perumal Venkatachalapathy, et al.
Published: (2025)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
by: Wang, Yu, et al.
Published: (2023)

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
by: Cui, Xiaoxi, et al.
Published: (2025)

CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction
by: Jin, Hyeonseok
Published: (2026)

EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
by: Aung, Htoo Wai, et al.
Published: (2024)

Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network
by: Zhiqi Shen, et al.
Published: (2024)

Task-Oriented Learning for Automatic EEG Denoising
by: Xiang, Tian-Yu, et al.
Published: (2025)

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
by: Zhou, Yuchen, et al.
Published: (2025)

Diffusion‐Based Causality‐Preserving Neural Network for Dementia Recognition
by: Saqib Mamoon, et al.
Published: (2024)

Derivatives of entropy and the MMSE conjecture
by: Mansanarez, Paul, et al.
Published: (2023)

EEG-SSM: Leveraging State-Space Model for Dementia Detection
by: Tran, Xuan-The, et al.
Published: (2024)

Decoding Dementia: Classifying Alzheimer's and Frontotemporal Dementia with EEG and Riemannian Geometry
by: Arne Van Den Kerchove, et al.
Published: (2025)

Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
by: Zheng, Haoran, et al.
Published: (2025)

Informed Bootstrap Augmentation Improves EEG Decoding
by: Jeong, Woojae, et al.
Published: (2025)

Active Task Engagement Enhances Auditory Brain–Behaviour Prediction From Single‐Trial EEG Compared With Passive Listening
by: Zhaonan Ma, et al.
Published: (2026)

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs
by: Mo, Zhaobin, et al.
Published: (2024)

Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience
by: Shen, Xinke, et al.
Published: (2024)