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20172022
most citedFully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI

58 citations · 171 across the 20 of their papers we have counts for

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9 papers · 1 filter

cs.CV2019★ 29 cited

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

Xiahai Zhuang, Lei Li, Christian Payer +31

Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable…

cs.CV2019★ 8 cited

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

Lei Li, Fuping Wu, Guang Yang +6

Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the…

cs.CV2018

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

Lei Li, Fuping Wu, Guang Yang +6

Late Gadolinium Enhancement Magnetic Resonance Imaging (LGE MRI) emerged as a routine scan for patients with atrial fibrillation (AF). However, due to the low image quality automat…

cs.CV2018

Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images

Fuping Wu, Lei Li, Guang Yang +6

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)…

cs.CV2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

Maximilian Seitzer, Guang Yang, Jo Schlemper +9

Deep learning approaches have shown promising performance for compressed sensing-based Magnetic Resonance Imaging. While deep neural networks trained with mean squared error (MSE)…

cs.CV2018★ 4 cited

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation

Jun Chen, Guang Yang, Zhifan Gao +9

Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial scars in atrial fibrillation (AF) patients has recently emerged as a promising technique to stratify patients,…

cs.CV2018

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI

Jo Schlemper, Guang Yang, Pedro Ferreira +9

Understanding the structure of the heart at the microscopic scale of cardiomyocytes and their aggregates provides new insights into the mechanisms of heart disease and enables the…

cs.CV2017★ 58 cited

Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI

Guang Yang, Xiahai Zhuang, Habib Khan +10

Purpose: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is correlated with increased morbidity and mortality. It is associated with atrial fibrosis, which may b…

cs.CV2017★ 44 cited

Deep De-Aliasing for Fast Compressive Sensing MRI

Simiao Yu, Hao Dong, Guang Yang +8

Fast Magnetic Resonance Imaging (MRI) is highly in demand for many clinical applications in order to reduce the scanning cost and improve the patient experience. This can also pote…