Search Results for author: Lingbin Bian

Found 4 papers, 2 papers with code

MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction

no code implementations20 Jun 2024 Luhui Cai, Weiming Zeng, Hongyu Chen, Hua Zhang, Yueyang Li, Hongjie Yan, Lingbin Bian, Nizhuan Wang

Graph deep learning (GDL) has demonstrated impressive performance in predicting population-based brain disorders (BDs) through the integration of both imaging and non-imaging data.

Graph Learning Representation Learning

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks

1 code implementation18 Jan 2023 Lingbin Bian, Nizhuan Wang, Leonardo Novelli, Jonathan Keith, Adeel Razi

The method can robustly detect the group-level community structure of weighted functional networks that give rise to hidden brain states with an unknown number of communities and retain the variability of individual networks.

Bayesian Inference Community Detection

WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse Coding

1 code implementation28 Mar 2022 Haitong Tang, Shuang He, Lingbin Bian, Zhiming Cui, Nizhuan Wang

Specifically, we first propose a novel width-depth synchronous extension-based basis pursuit (WSEBP) algorithm which solves the ML-CSC problem without the limitation of the number of iterations compared to the SOTA algorithms and maximizes the performance by an effective initialization in each layer.

Image Classification

Identification of brain states, transitions, and communities using functional MRI

no code implementations26 Jan 2021 Lingbin Bian, Tiangang Cui, B. T. Thomas Yeo, Alex Fornito, Adeel Razi, Jonathan Keith

Brain function relies on a precisely coordinated and dynamic balance between the functional integration and segregation of distinct neural systems.

Time Series Time Series Analysis

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