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Lingbin Bian
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2020 – today
- 2024
- [i3]Luhui Cai, Weiming Zeng, Hongyu Chen, Hua Zhang, Yueyang Li, Hongjie Yan, Lingbin Bian, Nizhuan Wang:
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction. CoRR abs/2406.14455 (2024) - [i2]Yueyang Li, Weiming Zeng, Wenhao Dong, Luhui Cai, Lei Wang, Hongyu Chen, Hongjie Yan, Lingbin Bian, Nizhuan Wang:
MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI. CoRR abs/2407.03217 (2024) - 2022
- [c1]Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi
, Han Zhang, Dinggang Shen:
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. ISGIE/GRAIL@MICCAI 2022: 69-78 - [i1]Haitong Tang, Shuang He, Lingbin Bian, Zhiming Cui, Nizhuan Wang:
WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse Coding. CoRR abs/2203.14856 (2022) - 2021
- [j1]Lingbin Bian, Tiangang Cui
, B. T. Thomas Yeo
, Alex Fornito, Adeel Razi, Jonathan Keith:
Identification of community structure-based brain states and transitions using functional MRI. NeuroImage 244: 118635 (2021)
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last updated on 2024-08-08 20:16 CEST by the dblp team
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