Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319287119, 9783319287126

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Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_20 ◽

2016 ◽

pp. 180-189 ◽

Cited By ~ 1

Author(s):

Jack Allen ◽

Ernesto Zacur ◽

Erica Dall’Armellina ◽

Pablo Lamata ◽

Vicente Grau

Keyword(s):

Myocardial Infarction ◽

Random Forest ◽

Left Ventricular

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Myocardial Infarct Localization Using Neighbourhood Approximation Forests

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_12 ◽

2016 ◽

pp. 108-116 ◽

Cited By ~ 3

Author(s):

Héloïse Bleton ◽

Jàn Margeta ◽

Hervé Lombaert ◽

Hervé Delingette ◽

Nicholas Ayache

Keyword(s):

Myocardial Infarct

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Supervised Learning of Functional Maps for Infarct Classification

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_18 ◽

2016 ◽

pp. 162-170 ◽

Cited By ~ 1

Author(s):

Anirban Mukhopadhyay ◽

Ilkay Oksuz ◽

Sotirios A. Tsaftaris

Keyword(s):

Supervised Learning

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Towards Left Ventricular Scar Localisation Using Local Motion Descriptors

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_4 ◽

2016 ◽

pp. 30-39 ◽

Cited By ~ 3

Author(s):

Devis Peressutti ◽

Wenjia Bai ◽

Wenzhe Shi ◽

Catalina Tobon-Gomez ◽

Thomas Jackson ◽

...

Keyword(s):

Left Ventricular ◽

Local Motion ◽

Motion Descriptors

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Detecting Myocardial Infarction Using Medial Surfaces

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_16 ◽

2016 ◽

pp. 146-153 ◽

Cited By ~ 1

Author(s):

Pierre Ablin ◽

Kaleem Siddiqi

Keyword(s):

Myocardial Infarction ◽

Medial Surfaces

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Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_21 ◽

2016 ◽

pp. 190-198 ◽

Cited By ~ 2

Author(s):

Marc-Michel Rohé ◽

Nicolas Duchateau ◽

Maxime Sermesant ◽

Xavier Pennec

Keyword(s):

Supervised Learning ◽

Automatic Diagnosis

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Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_23 ◽

2016 ◽

pp. 208-216 ◽

Cited By ~ 1

Author(s):

Mahdi Tabassian ◽

Martino Alessandrini ◽

Peter Claes ◽

Luca De Marchi ◽

Dirk Vandermeulen ◽

...

Keyword(s):

Myocardial Infarction ◽

Statistical Modeling ◽

Automatic Detection ◽

Shape Feature ◽

Global Shape ◽

Feature Based

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Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_1 ◽

2016 ◽

pp. 3-12

Author(s):

Sharath Gopal ◽

Demetri Terzopoulos

Keyword(s):

Left Ventricle ◽

Mr Images ◽

Cardiac Mr ◽

Model Based ◽

Ventricle Segmentation

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Left Ventricle Classification Using Active Shape Model and Support Vector Machine

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_17 ◽

2016 ◽

pp. 154-161 ◽

Cited By ~ 1

Author(s):

Nripesh Parajuli ◽

Allen Lu ◽

James S. Duncan

Keyword(s):

Support Vector Machine ◽

Left Ventricle ◽

Support Vector ◽

Active Shape Model ◽

Shape Model ◽

Active Shape

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Prediction of Infarct Localization from Myocardial Deformation

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28712-6_6 ◽

2016 ◽

pp. 51-59 ◽

Cited By ~ 3

Author(s):

Nicolas Duchateau ◽

Maxime Sermesant

Keyword(s):

Myocardial Deformation

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest

Myocardial Infarct Localization Using Neighbourhood Approximation Forests

Supervised Learning of Functional Maps for Infarct Classification

Towards Left Ventricular Scar Localisation Using Local Motion Descriptors

Detecting Myocardial Infarction Using Medial Surfaces

Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct

Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling

Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images

Left Ventricle Classification Using Active Shape Model and Support Vector Machine

Prediction of Infarct Localization from Myocardial Deformation

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Lecture Notes in Computer Science
Latest Publications