An Overview of Techniques for Cardiac Left Ventricle Segmentation on Short-Axis MRI

2016 ◽

Cited By ~ 4

Author(s):

Li Kuo Tan ◽

Yih Miin Liew ◽

Einly Lim ◽

Robert A. McLaughlin

Keyword(s):

Neural Network ◽

Left Ventricle ◽

Convolutional Neural Network ◽

Cardiac Left Ventricle ◽

Ventricle Segmentation

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Dynamic pixel-wise weighting-based fully convolutional neural networks for left ventricle segmentation in short-axis MRI

Magnetic Resonance Imaging ◽

10.1016/j.mri.2019.08.021 ◽

2020 ◽

Vol 66 ◽

pp. 131-140 ◽

Cited By ~ 2

Author(s):

Zhongrong Wang ◽

Lipeng Xie ◽

Jin Qi

Keyword(s):

Neural Networks ◽

Left Ventricle ◽

Convolutional Neural Networks ◽

Short Axis ◽

Fully Convolutional Neural Networks ◽

Ventricle Segmentation

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Left ventricle segmentation using graph searching on intensity and gradient and a priori knowledge (lvGIGA) for short-axis cardiac magnetic resonance imaging

Journal of Magnetic Resonance Imaging ◽

10.1002/jmri.21586 ◽

2008 ◽

Vol 28 (6) ◽

pp. 1393-1401 ◽

Cited By ~ 14

Author(s):

Hae-Yeoun Lee ◽

Noel Codella ◽

Matthew Cham ◽

Martin Prince ◽

Jonathan Weinsaft ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

A Priori ◽

A Priori Knowledge ◽

Short Axis ◽

Graph Searching ◽

Resonance Imaging ◽

Ventricle Segmentation

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Faculty Opinions recommendation of Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.729948008.793565021 ◽

2019 ◽

Author(s):

Stamatios Lerakis

Keyword(s):

Neural Network ◽

Left Ventricle ◽

Convolutional Neural Network ◽

Short Axis ◽

Cine Mr ◽

Cardiac Cine ◽

Ventricle Segmentation ◽

Mr Sequences

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Image-Driven Cardiac Left Ventricle Segmentation for the Evaluation of Multiview Fused Real-Time 3-Dimensional Echocardiography Images

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04271-3_108 ◽

2009 ◽

pp. 893-900 ◽

Cited By ~ 4

Author(s):

Kashif Rajpoot ◽

J. Alison Noble ◽

Vicente Grau ◽

Cezary Szmigielski ◽

Harald Becher

Keyword(s):

Left Ventricle ◽

Real Time ◽

3 Dimensional ◽

Dimensional Echocardiography ◽

Cardiac Left Ventricle ◽

Ventricle Segmentation

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A Survey on Left Ventricle Segmentation Techniques in Cardiac Short Axis MRI

Current Medical Imaging Formerly Current Medical Imaging Reviews ◽

10.2174/1573405613666170117124934 ◽

2018 ◽

Vol 14 (2) ◽

pp. 223-237 ◽

Cited By ~ 2

Author(s):

Mehreen Irshad ◽

Muhammad Sharif ◽

Mussarat Yasmin ◽

Amjad Khan

Keyword(s):

Left Ventricle ◽

Short Axis ◽

Ventricle Segmentation

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Invert-U-Net DNN segmentation model for MRI cardiac left ventricle segmentation

The Journal of Engineering ◽

10.1049/joe.2018.8302 ◽

2018 ◽

Vol 2018 (16) ◽

pp. 1463-1467 ◽

Cited By ~ 3

Author(s):

Chao Cong ◽

Hongmin Zhang

Keyword(s):

Left Ventricle ◽

Cardiac Left Ventricle ◽

Ventricle Segmentation

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Automatic left ventricle segmentation in short-axis MRI using deep convolutional neural networks and central-line guided level set approach

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2020.103877 ◽

2020 ◽

Vol 122 ◽

pp. 103877

Author(s):

Lipeng Xie ◽

Yi Song ◽

Qiang Chen

Keyword(s):

Neural Networks ◽

Left Ventricle ◽

Convolutional Neural Networks ◽

Level Set ◽

Central Line ◽

Short Axis ◽

Deep Convolutional Neural Networks ◽

Level Set Approach ◽

Ventricle Segmentation

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Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) ◽

10.1109/isbi.2019.8759292 ◽

2019 ◽

Cited By ~ 4

Author(s):

Mohammad H. Jafari ◽

Hany Girgis ◽

Amir H. Abdi ◽

Zhibin Liao ◽

Mehran Pesteie ◽

...

Keyword(s):

Left Ventricle ◽

Supervised Learning ◽

Generative Models ◽

Cardiac Left Ventricle ◽

Ventricle Segmentation

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Left ventricle segmentation by combining convolution neural network with active contour model and tensor voting in short-axis MRI

2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm.2017.8217746 ◽

2017 ◽

Cited By ~ 1

Author(s):

Zewen Li ◽

Adan Lin ◽

Xuan Yang ◽

Junhao Wu

Keyword(s):

Neural Network ◽

Left Ventricle ◽

Active Contour ◽

Active Contour Model ◽

Convolution Neural Network ◽

Tensor Voting ◽

Short Axis ◽

Contour Model ◽

Ventricle Segmentation

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An Overview of Techniques for Cardiac Left Ventricle Segmentation on Short-Axis MRI

Cardiac left ventricle segmentation using convolutional neural network regression

Dynamic pixel-wise weighting-based fully convolutional neural networks for left ventricle segmentation in short-axis MRI

Left ventricle segmentation using graph searching on intensity and gradient and a priori knowledge (lvGIGA) for short-axis cardiac magnetic resonance imaging

Faculty Opinions recommendation of Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences.

Image-Driven Cardiac Left Ventricle Segmentation for the Evaluation of Multiview Fused Real-Time 3-Dimensional Echocardiography Images

A Survey on Left Ventricle Segmentation Techniques in Cardiac Short Axis MRI

Invert-U-Net DNN segmentation model for MRI cardiac left ventricle segmentation

Automatic left ventricle segmentation in short-axis MRI using deep convolutional neural networks and central-line guided level set approach

Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior

Left ventricle segmentation by combining convolution neural network with active contour model and tensor voting in short-axis MRI

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