5 citations · 10 across the 5 of their papers we have counts for
5 papers
Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning
Yiran Li, Ze Wang
Purpose: Arterial spin labeling (ASL) perfusion imaging indicates direct and absolute measurement of cerebral blood flow (CBF). Arterial transit time (ATT) is a related physiologic…
Cross-time functional connectivity analysis
Ze Wang
A large body of literature has shown the substantial inter-regional functional connectivity in the mammal brain. One important property remaining un-studied is the cross-time inter…
Resting state fMRI-based temporal coherence mapping
Ze Wang
Long-range temporal coherence (LRTC) is quite common to dynamic systems and is fundamental to the system function. LRTC in the brain has been shown to be important to cognition. As…
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…
Denoising Arterial Spin Labeling Cerebral Blood Flow Images Using Deep Learning
Danfeng Xie, Li Bai, Ze Wang
Arterial spin labeling perfusion MRI is a noninvasive technique for measuring quantitative cerebral blood flow (CBF), but the measurement is subject to a low signal-to-noise-ratio(…