Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science

Cardiac Segmentation of LGE MRI with Noisy Labels

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_24 ◽

2020 ◽

pp. 228-236

Author(s):

Holger Roth ◽

Wentao Zhu ◽

Dong Yang ◽

Ziyue Xu ◽

Daguang Xu

Keyword(s):

Cardiac Segmentation ◽

Noisy Labels

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Multimodal Cardiac Segmentation Using Disentangled Representation Learning

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_14 ◽

2020 ◽

pp. 128-137 ◽

Cited By ~ 1

Author(s):

Agisilaos Chartsias ◽

Giorgos Papanastasiou ◽

Chengjia Wang ◽

Colin Stirrat ◽

Scott Semple ◽

...

Keyword(s):

Representation Learning ◽

Cardiac Segmentation

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Two-Stage 2D CNN for Automatic Atrial Segmentation from LGE-MRIs

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_9 ◽

2020 ◽

pp. 81-89

Author(s):

Kevin Jamart ◽

Zhaohan Xiong ◽

Gonzalo Maso Talou ◽

Martin K. Stiles ◽

Jichao Zhao

Keyword(s):

Two Stage

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Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_6 ◽

2020 ◽

pp. 52-62

Author(s):

Vera H. J. van Hal ◽

Debbie Zhao ◽

Kathleen Gilbert ◽

Thiranja P. Babarenda Gamage ◽

Charlene Mauger ◽

...

Keyword(s):

Wall Thickness ◽

Left Ventricular ◽

Left Ventricular Wall ◽

Cine Mri ◽

Ventricular Wall ◽

Left Ventricular Wall Thickness ◽

2D Echocardiography ◽

Cardiac Cine ◽

Ventricular Wall Thickness

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Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_41 ◽

2020 ◽

pp. 395-404

Author(s):

Sofie Tilborghs ◽

Frederik Maes

Keyword(s):

Left Ventricular ◽

Feature Maps ◽

Deep Feature ◽

Left Ventricular Parameter

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Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_4 ◽

2020 ◽

pp. 31-42

Author(s):

Yimin Luo ◽

Daniel Toth ◽

Kui Jiang ◽

Kuberan Pushparajah ◽

Kawal Rhode

Keyword(s):

Image Denoising ◽

Low Dose ◽

Cardiac Catheter ◽

X Ray

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Deep Learning Based Multi-modal Cardiac MR Image Segmentation

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_28 ◽

2020 ◽

pp. 263-270

Author(s):

Rencheng Zheng ◽

Xingzhong Zhao ◽

Xingming Zhao ◽

He Wang

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Mr Image ◽

Cardiac Mr ◽

Mr Image Segmentation

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A Cascade Regression Model for Anatomical Landmark Detection

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_5 ◽

2020 ◽

pp. 43-51

Author(s):

Zimeng Tan ◽

Yongjie Duan ◽

Ziyi Wu ◽

Jianjiang Feng ◽

Jie Zhou

Keyword(s):

Regression Model ◽

Anatomical Landmark ◽

Landmark Detection ◽

Cascade Regression

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A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_42 ◽

2020 ◽

pp. 405-413 ◽

Cited By ~ 1

Author(s):

Zhou Zhao ◽

Nicolas Boutry ◽

Élodie Puybareau ◽

Thierry Géraud

Keyword(s):

Left Ventricle ◽

Mr Images ◽

Two Stage ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Ventricle Segmentation

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Best (and Worst) Practices for Organizing a Challenge on Cardiac Biophysical Models During AI Summer: The CRT-EPiggy19 Challenge

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-39074-7_35 ◽

2020 ◽

pp. 329-341

Author(s):

Oscar Camara

Keyword(s):

Biophysical Models

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Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science
Latest Publications

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Published By Springer International Publishing

Cardiac Segmentation of LGE MRI with Noisy Labels

Multimodal Cardiac Segmentation Using Disentangled Representation Learning

Two-Stage 2D CNN for Automatic Atrial Segmentation from LGE-MRIs

Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN

Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures

Deep Learning Based Multi-modal Cardiac MR Image Segmentation

A Cascade Regression Model for Anatomical Landmark Detection

A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images

Best (and Worst) Practices for Organizing a Challenge on Cardiac Biophysical Models During AI Summer: The CRT-EPiggy19 Challenge

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Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Cardiac Segmentation of LGE MRI with Noisy Labels

Multimodal Cardiac Segmentation Using Disentangled Representation Learning

Two-Stage 2D CNN for Automatic Atrial Segmentation from LGE-MRIs

Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN

Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures

Deep Learning Based Multi-modal Cardiac MR Image Segmentation

A Cascade Regression Model for Anatomical Landmark Detection

A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images

Best (and Worst) Practices for Organizing a Challenge on Cardiac Biophysical Models During AI Summer: The CRT-EPiggy19 Challenge

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - Lecture Notes in Computer Science
Latest Publications