Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM

No abstract is available for this paper.

• Publication year

  2022

• Venue

  Knowledge-Based Systems

• Publication date

  2022-07-01

• Fields of study

  Medicine, Computer Science, Psychology

• Identifiers
  DOI 10.1016/j.knosys.2022.109466
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Predicting brain structural network using functional connectivity

  2022cited by this paper
• Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment

  2021cited by this paper
• Brain functional connectivity analysis based on multi-graph fusion

  2021cited by this paper
• Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment

  2021cited by this paper
• Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

  2020cited by this paper
• Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI

  2020cited by this paper
• CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

  2020cited by this paper
• Diagnosis of early Alzheimer’s disease based on dynamic high order networks

  2020cited by this paper
• SCAU-Net: Spatial-Channel Attention U-Net for Gland Segmentation

  2020cited by this paper
• Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis

  2020cited by this paper
• Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation

  2020cited by this paper
• Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification

  2020cited by this paper
• Deep and joint learning of longitudinal data for Alzheimer's disease prediction

  2020cited by this paper
• Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest

  2020cited by this paper
• Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease

  2020cited by this paper
• Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis

  2020cited by this paper
• Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores

  2020cited by this paper
• Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM

  2019cited by this paper
• Reduced blood oxygenation level dependent connectivity is related to hypoperfusion in Alzheimer’s disease

  2019cited by this paper
• Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis

  2019cited by this paper
• Recognizing Brain States Using Deep Sparse Recurrent Neural Network

  2019cited by this paper
• Osthole attenuates APP‐induced Alzheimer's disease through up‐regulating miRNA‐101a‐3p

  2019cited by this paper
• BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes

  2019cited by this paper
• Predicting Alzheimer’s Disease Using LSTM

  2019cited by this paper
• Plasma lipocalin-2 levels in the preclinical stage of Alzheimer's disease

  2019cited by this paper
• Functional Brain Network Classification for Alzheimer’s Disease Detection with Deep Features and Extreme Learning Machine

  2019cited by this paper
• Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network

  2019cited by this paper
• Intrinsic frequency specific brain networks for identification of MCI individuals using resting-state fMRI.

  2018cited by this paper
• Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection

  2018cited by this paper
• Efficient kNN Classification With Different Numbers of Nearest Neighbors

  2018cited by this paper
• A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer’s disease

  2018cited by this paper
• Video Captioning With Attention-Based LSTM and Semantic Consistency

  2017cited by this paper
• Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis

  2017cited by this paper
• Machine Learning Classification Combining Multiple Features of A Hyper-Network of fMRI Data in Alzheimer's Disease

  2017cited by this paper
• Connectivity strength‐weighted sparse group representation‐based brain network construction for MCI classification

  2017cited by this paper
• Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI

  2017cited by this paper
• Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis

  2016cited by this paper
• Estimating functional brain networks by incorporating a modularity prior

  2016cited by this paper
• Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification

  2013cited by this paper
• A whole brain fMRI atlas generated via spatially constrained spectral clustering

  2012cited by this paper
• Network modelling methods for FMRI

  2011cited by this paper
• Model selection and estimation in regression with grouped variables

  2006cited by this paper
• 2005 Special Issue: Framewise phoneme classification with bidirectional LSTM and other neural network architectures

  2005cited by this paper

• Multi-plane multi-slice longitudinal MRI for deep ensemble progression detection based on enhanced residual multi-head self-attention

  2026cites this paper
• Functional redundancy of the posterior hippocampi is selectively disrupted in non-demented older adults with β-amyloid deposition

  2025cites this paper
• A Novel Interpretable Fusion Analytic Framework for Investigating Functional Brain Connectivity Differences in Cognitive Impairments

  2024cites this paper
• LCGNet: Local Sequential Feature Coupling Global Representation Learning for Functional Connectivity Network Analysis With fMRI

  2024cites this paper
• Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification

  2024cites this paper
• A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI

  2024cites this paper
• Fused Brain Functional Connectivity Network and Edge-attention Graph Convolution Network for Fibromyalgia Syndrome Diagnosis

  2023cites this paper
• Multi-relation graph convolutional network for Alzheimer's disease diagnosis using structural MRI

  2023cites this paper
• Generative AI for brain image computing and brain network computing: a review

  2023cites this paper
• MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation

  2023cites this paper
• Time-series visual explainability for Alzheimer’s disease progression detection for smart healthcare

  2023cites this paper
• BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model

  2023cites this paper
• Reconstructing high-order sequence features of dynamic functional connectivity networks based on diversified covert attention patterns for Alzheimer's disease classification

  2022cites this paper
• Self-attention based high order sequence feature reconstruction of dynamic functional connectivity networks with rs-fMRI for brain disease classification

  2022cites this paper