Search Results for author: Lingchao Xu

Found 5 papers, 0 papers with code

Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

no code implementations18 Jun 2019 Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang

The proposed network, referred to as SRSCN, comprises a shape reconstruction neural network (SRNN) and a spatial constraint network (SCN).

Cardiac Segmentation Multi-Task Learning

Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework

no code implementations21 Feb 2019 Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David Firmin, Jennifer Keegan, Xiahai Zhuang

Compared with the conventional methods, which are based on the manual delineation of LA for initialization, our method is fully automatic and has demonstrated significantly better Dice score and accuracy (p < 0. 01).

Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images

no code implementations22 Oct 2018 Fuping Wu, Lei LI, Guang Yang, Tom Wong, Raad Mohiaddin, David Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang

We present a fully-automated segmentation and quantification of the left atrial (LA) fibrosis and scars combining two cardiac MRIs, one is the target late gadolinium-enhanced (LGE) image, and the other is an anatomical MRI from the same acquisition session.

Texture Classification

Atrial scars segmentation via potential learning in the graph-cuts framework

no code implementations22 Oct 2018 Lei Li, Fuping Wu, Guang Yang, Tom Wong, Raad Mohiaddin, David Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang

Late Gadolinium Enhancement Magnetic Resonance Imaging (LGE MRI) emerged as a routine scan for patients with atrial fibrillation (AF).

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