Cardiac MR segmentation based on sequence propagation by deep learning

PLoS ONE ◽

10.1371/journal.pone.0230415 ◽

2020 ◽

Vol 15 (4) ◽

pp. e0230415

Author(s):

Chao Luo ◽

Canghong Shi ◽

Xiaoji Li ◽

Dongrui Gao

Keyword(s):

Deep Learning ◽

Mr Segmentation

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Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8513140 ◽

2018 ◽

Author(s):

Shuang Leng ◽

Xulei Yang ◽

Xiaodan Zhao ◽

Zeng Zeng ◽

Yi Su ◽

...

Keyword(s):

Deep Learning ◽

Computational Platform

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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 ◽

Mr Image Segmentation

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Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation

Advanced Information Systems Engineering - Lecture Notes in Computer Science ◽

10.1007/978-3-642-40763-5_32 ◽

2013 ◽

pp. 254-261 ◽

Author(s):

Shu Liao ◽

Yaozong Gao ◽

Aytekin Oto ◽

Dinggang Shen

Keyword(s):

Deep Learning ◽

Representation Learning ◽

Learning Framework ◽

Mr Segmentation

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ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation

Lecture Notes in Computer Science - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 ◽

10.1007/978-3-540-39899-8_56 ◽

2003 ◽

pp. 451-458 ◽

Author(s):

M. Üzümcü ◽

A. F. Frangi ◽

M. Sonka ◽

J. H. C. Reiber ◽

B. P. F. Lelieveldt

Keyword(s):

Active Appearance Models ◽

Mr Segmentation ◽

Appearance Models ◽

Active Appearance

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A Novel Framework with Weighted Decision Map Based on Convolutional Neural Network for Cardiac MR Segmentation

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2021.3131758 ◽

2021 ◽

pp. 1-1

Author(s):

Fei Yan Li ◽

Weisheng Li ◽

Xinbo Gao ◽

Bin Xiao

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Mr Segmentation

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Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

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

10.1007/978-3-030-00928-1_29 ◽

2018 ◽

pp. 250-258 ◽

Author(s):

Ilkay Oksuz ◽

Bram Ruijsink ◽

Esther Puyol-Antón ◽

Aurelien Bustin ◽

Gastao Cruz ◽

...

Keyword(s):

Deep Learning ◽

Data Augmentation ◽

Motion Artefact ◽

Artefact Detection

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Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2020.3008930 ◽

2020 ◽

Vol 39 (12) ◽

pp. 4001-4010 ◽

Author(s):

Ilkay Oksuz ◽

James R. Clough ◽

Bram Ruijsink ◽

Esther Puyol Anton ◽

Aurelien Bustin ◽

...

Keyword(s):

Deep Learning ◽

Motion Artefacts ◽

High Quality ◽

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Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network

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_27 ◽

2020 ◽

pp. 254-262 ◽

Author(s):

Jiexiang Wang ◽

Hongyu Huang ◽

Chaoqi Chen ◽

Wenao Ma ◽

Yue Huang ◽

...

Keyword(s):

Domain Adaptation ◽

Mr Segmentation

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Deep Learning–based Automated Segmentation of the Left Ventricular Trabeculations and Myocardium on Cardiac MR Images: A Feasibility Study

Radiology Artificial Intelligence ◽

10.1148/ryai.2020200021 ◽

2020 ◽

pp. e200021

Author(s):

Axel Bartoli ◽

Joris Fournel ◽

Zakarya Bentatou ◽

Gilbert Habib ◽

Alain Lalande ◽

...

Keyword(s):

Deep Learning ◽

Feasibility Study ◽

Left Ventricular ◽

Automated Segmentation ◽

Mr Images ◽

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Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_13 ◽

2021 ◽

pp. 127-136

Author(s):

Sofie Tilborghs ◽

Tom Dresselaers ◽

Piet Claus ◽

Jan Bogaert ◽

Frederik Maes

Keyword(s):

Simultaneous Prediction ◽

Mr Segmentation

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