11 citations · 24 across the 10 of their papers we have counts for
10 papers
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…
OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional
Jinming Duan, Weicheng Xie, Ryan Wen Liu +4
In this paper, we propose a novel retinal layer boundary model for segmentation of optical coherence tomography (OCT) images. The retinal layer boundary model consists of 9 open pa…
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(…
Tensor Based Second Order Variational Model for Image Reconstruction
Jinming Duan, Wil OC Ward, Luke Sibbett +2
Second order total variation (SOTV) models have advantages for image reconstruction over their first order counterparts including their ability to remove the staircase artefact in…
Automated Segmentation of Retinal Layers from Optical Coherent Tomography Images Using Geodesic Distance
Jinming Duan, Christopher Tench, Irene Gottlob +2
Optical coherence tomography (OCT) is a non-invasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to localise retinal layer…
The Influence of Intensity Standardization on Medical Image Registration
Ulas Bagci, Jayaram K. Udupa, Li Bai
Acquisition-to-acquisition signal intensity variations (non-standardness) are inherent in MR images. Standardization is a post processing method for correcting inter-subject intens…