Left ventricle segmentation via two-layer level sets with circular shape constraint

Magnetic Resonance Imaging ◽

10.1016/j.mri.2017.01.011 ◽

2017 ◽

Vol 38 ◽

pp. 202-213 ◽

Author(s):

Cong Yang ◽

Weiguo Wu ◽

Yuanqi Su ◽

Shaoxiang Zhang

Keyword(s):

Left Ventricle ◽

Circular Shape ◽

Shape Constraint ◽

Ventricle Segmentation

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A data augmentation approach to train fully convolutional networks for left ventricle segmentation

Magnetic Resonance Imaging ◽

10.1016/j.mri.2019.08.004 ◽

2020 ◽

Vol 66 ◽

pp. 152-164

Author(s):

Adan Lin ◽

Junhao Wu ◽

Xuan Yang

Keyword(s):

Left Ventricle ◽

Data Augmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks ◽

Ventricle Segmentation

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Three-dimensional active shape model matching for left ventricle segmentation in cardiac CT

10.1117/12.481314 ◽

2003 ◽

Author(s):

Hans C. van Assen ◽

Rob J. van der Geest ◽

Mikhail G. Danilouchkine ◽

Hildo J. Lamb ◽

Johan H. C. Reiber ◽

...

Keyword(s):

Left Ventricle ◽

Three Dimensional ◽

Active Shape Model ◽

Model Matching ◽

Shape Model ◽

Active Shape ◽

Ventricle Segmentation

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Evaluating the pre-processing impact on the generalization of deep learning networks for left ventricle segmentation

10.1109/bibm52615.2021.9669630 ◽

2021 ◽

Author(s):

Matheus A. O. Ribeiro ◽

Fatima L. S. Nunesy

Keyword(s):

Deep Learning ◽

Left Ventricle ◽

Learning Networks ◽

Ventricle Segmentation

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Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-12029-0_9 ◽

2019 ◽

pp. 77-84

Author(s):

Omar S. Al-Kadi ◽

Allen Lu ◽

Albert J. Sinusas ◽

James S. Duncan

Keyword(s):

Brownian Motion ◽

Left Ventricle ◽

Stochastic Model ◽

Fractional Brownian Motion ◽

3D Echocardiography ◽

Model Based ◽

Ventricle Segmentation

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VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00937-3_71 ◽

2018 ◽

pp. 622-629 ◽

Author(s):

Suyu Dong ◽

Gongning Luo ◽

Kuanquan Wang ◽

Shaodong Cao ◽

Ashley Mercado ◽

...

Keyword(s):

Left Ventricle ◽

Ventricle Segmentation

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Random Forest Based Left Ventricle Segmentation in LGE-MRI

Functional Imaging and Modelling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-319-59448-4_15 ◽

2017 ◽

pp. 152-160 ◽

Author(s):

Tanja Kurzendorfer ◽

Christoph Forman ◽

Alexander Brost ◽

Andreas Maier

Keyword(s):

Random Forest ◽

Left Ventricle ◽

Ventricle Segmentation

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Ensemble Approach for Left Ventricle Segmentation

Advances in Intelligent Systems and Computing - Intelligent Systems and Applications ◽

10.1007/978-3-030-29513-4_61 ◽

2019 ◽

pp. 824-834

Author(s):

Chen Avni ◽

Maya Herman

Keyword(s):

Left Ventricle ◽

Ensemble Approach ◽

Ventricle Segmentation

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Patient-Specific Cardiac Computational Modeling Based on Left Ventricle Segmentation from Magnetic Resonance Images

Proceedings of the International Conference on Data Engineering and Communication Technology - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-10-1678-3_17 ◽

2016 ◽

pp. 179-187 ◽

Author(s):

Anupama Bhan ◽

Disha Bathla ◽

Ayush Goyal

Keyword(s):

Magnetic Resonance ◽

Left Ventricle ◽

Computational Modeling ◽

Magnetic Resonance Images ◽

Patient Specific ◽

Ventricle Segmentation

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Initial Point Prediction Based Parametric Active Contour Model for Left Ventricle Segmentation of CMRI Images

Proceedings of International Joint Conference on Computational Intelligence - Algorithms for Intelligent Systems ◽

10.1007/978-981-13-7564-4_45 ◽

2019 ◽

pp. 533-546

Author(s):

Md. Al Noman ◽

A. B. M. Aowlad Hossain ◽

Md. Asadur Rahman

Keyword(s):

Left Ventricle ◽

Active Contour ◽

Active Contour Model ◽

Initial Point ◽

Contour Model ◽

Ventricle Segmentation

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A Semi-supervised Deep Learning-Based Approach with Multiphase Active Contour Loss for Left Ventricle Segmentation from CMR Images

Advances in Intelligent Systems and Computing - Proceedings of Third International Conference on Sustainable Computing ◽

10.1007/978-981-16-4538-9_2 ◽

2022 ◽

pp. 13-23

Author(s):

Minh-Nhat Trinh ◽

Nhu-Toan Nguyen ◽

Thi-Thao Tran ◽

Van-Truong Pham

Keyword(s):

Deep Learning ◽

Left Ventricle ◽

Active Contour ◽

Ventricle Segmentation

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