[HTML][HTML] Topological state-space estimation of functional human brain networks
We introduce an innovative, data-driven topological data analysis (TDA) technique for
estimating the state spaces of dynamically changing functional human brain networks at …
estimating the state spaces of dynamically changing functional human brain networks at …
[18F] FDG PET integrated with structural MRI for accurate brain age prediction
L Xue, Y Fu, X Gao, G Feng, S Qian, L Wei, L Li… - European Journal of …, 2024 - Springer
Purpose Brain aging is a complex and heterogeneous process characterized by both
structural and functional decline. This study aimed to establish a novel deep learning (DL) …
structural and functional decline. This study aimed to establish a novel deep learning (DL) …
Surface-Based Morphometric Changes of The Hippocampus At Global and Subfield Levels Of Early-Stage Parkinson's Disease
M Niu, J Lei, Y Fu - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a prevalent and progressive neurodegenerative condition.
Previous research has primarily identified the hippocampus as a key affected brain region in …
Previous research has primarily identified the hippocampus as a key affected brain region in …
Dynamic Topological Data Analysis for Brain Networks via Wasserstein Graph Clustering
We present the novel Wasserstein graph clustering for dynamically changing graphs. The
Wasserstein clustering penalizes the topological discrepancy between graphs. The …
Wasserstein clustering penalizes the topological discrepancy between graphs. The …