Author Info
Name
Affiliation
Papers
LEI LI
Shanghai Jiao Tong Univ, Dept Biomed Engn, Shanghai 200240, Peoples R China
13
Collaborators
Citations 
PageRank 
129
33
5.37
Referers 
Referees 
References 
201
334
82
Search Limit
100334
Title
Citations
PageRank
Year
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge00.342022
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images00.342022
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review00.342022
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information10.362022
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge40.482021
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs00.342021
Atrial scar quantification via multi-scale CNN in the graph-cuts framework.50.442020
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.90.592019
Atrial scars segmentation via potential learning in the graph-cuts framework.00.342018
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images.40.402018
Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images.00.342018
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.80.662017
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.20.412017