3 papers
eess.SP2023
Constrained Independent Vector Analysis with Reference for Multi-Subject fMRI Analysis
Trung Vu, Francisco Laport, Hanlu Yang +2
Independent component analysis (ICA) is now a widely used solution for the analysis of multi-subject functional magnetic resonance imaging (fMRI) data. Independent vector analysis…
q-bio.NC2022
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning
Fateme Ghayem, Hanlu Yang, Furkan Kantar +3
Independent component analysis (ICA) of multi-subject functional magnetic resonance imaging (fMRI) data has proven useful in providing a fully multivariate summary that can be used…
eess.IV2020
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images
Danfeng Xie, Yiran Li, Hanlu Yang +3
Arterial spin labeling (ASL) perfusion MRI provides a non-invasive way to quantify cerebral blood flow (CBF) but it still suffers from a low signal-to-noise-ratio (SNR). Using deep…