about
Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge.Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.A quantification model for apoptosis in mouse embryos in the early stage of fetation.Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.Automatic dendritic spine analysis in two-photon laser scanning microscopy images.Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: a 2-center study.Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies.A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion.Right ventricle segmentation from cardiac MRI: a collation study.A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images.Multi-atlas segmentation with augmented features for cardiac MR images.Regularized B-spline deformable registration for respiratory motion correction in PET images.Temporal sparse free-form deformations.Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.Learning-Based Quality Control for Cardiac MR ImagesAutomated cardiovascular magnetic resonance image analysis with fully convolutional networksMulti-atlas Spectral PatchMatch: Application to Cardiac Image SegmentationPatch-Based Evaluation of Image SegmentationCardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatchApplication-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI DataLarge-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK BiobankClinical quantitative cardiac imaging for the assessment of myocardial ischaemiaAutomatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach
P50
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P50
description
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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Wenjia Bai
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P1153
P106
P1153
22933320200
55570917300
56250976900
P2456
P31
P496
0000-0003-2943-7698