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

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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ESU-P-Net: Cascading Network for Full Quantification of Left Ventricle from Cine MRI

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_45 ◽

2019 ◽

pp. 421-428 ◽

Cited By ~ 1

Author(s):

Wenjun Yan ◽

Yuanyuan Wang ◽

Shaoxiang Chen ◽

Rob J. van der Geest ◽

Qian Tao

Keyword(s):

Left Ventricle ◽

Cine Mri

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4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration

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_18 ◽

2019 ◽

pp. 161-170

Author(s):

Siyeop Yoon ◽

Stephen Baek ◽

Deukhee Lee

Keyword(s):

Cardiac Motion ◽

Motion Modeling ◽

Mesh Registration

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Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas

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_11 ◽

2019 ◽

pp. 94-102

Author(s):

Esther Puyol-Antón ◽

Bram Ruijsink ◽

Hélène Langet ◽

Mathieu De Craene ◽

Paolo Piro ◽

...

Keyword(s):

Large Scale ◽

Clinical Information ◽

Cardiac Motion

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Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning

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_37 ◽

2019 ◽

pp. 339-347 ◽

Cited By ~ 5

Author(s):

Élodie Puybareau ◽

Zhou Zhao ◽

Younes Khoudli ◽

Edwin Carlinet ◽

Yongchao Xu ◽

...

Keyword(s):

Transfer Learning ◽

Left Atrial ◽

Convolutional Network ◽

Fully Convolutional Network

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Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation

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_26 ◽

2019 ◽

pp. 237-245 ◽

Cited By ~ 6

Author(s):

Cheng Bian ◽

Xin Yang ◽

Jianqiang Ma ◽

Shen Zheng ◽

Yu-An Liu ◽

...

Keyword(s):

Left Atrium

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Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection

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_33 ◽

2019 ◽

pp. 302-310 ◽

Cited By ~ 2

Author(s):

Marta Nuñez-Garcia ◽

Xiahai Zhuang ◽

Gerard Sanroma ◽

Lei Li ◽

Lingchao Xu ◽

...

Keyword(s):

Left Atrial ◽

Whole Heart

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Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation

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_43 ◽

2019 ◽

pp. 402-411 ◽

Cited By ~ 3

Author(s):

Hao Xu ◽

Jurgen E. Schneider ◽

Vicente Grau

Keyword(s):

Deep Learning ◽

Cardiac Mri ◽

Functional Metrics

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Deep Learning Based Method for Left Atrial Segmentation in GE-MRI

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_34 ◽

2019 ◽

pp. 311-318 ◽

Cited By ~ 1

Author(s):

Yashu Liu ◽

Yangyang Dai ◽

Cong Yan ◽

Kuanquan Wang

Keyword(s):

Deep Learning ◽

Left Atrial

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Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation

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_12 ◽

2019 ◽

pp. 103-113

Author(s):

Sofia Monaci ◽

David Nordsletten ◽

Oleg Aslanidi

Keyword(s):

Atrial Fibrillation ◽

Computational Modelling ◽

Mechanical Coupling

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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - Lecture Notes in Computer Science
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Published By Springer International Publishing

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

ESU-P-Net: Cascading Network for Full Quantification of Left Ventricle from Cine MRI

4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration

Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas

Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation

Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection

Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation

Deep Learning Based Method for Left Atrial Segmentation in GE-MRI

Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

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

ESU-P-Net: Cascading Network for Full Quantification of Left Ventricle from Cine MRI

4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration

Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas

Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation

Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection

Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation

Deep Learning Based Method for Left Atrial Segmentation in GE-MRI

Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation

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