Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science
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(FIVE YEARS 65)

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Published By Springer International Publishing

9783030787097, 9783030787103

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a Machine Learning Model

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_4 ◽

2021 ◽

pp. 35-45

Author(s):

Jordan B. Stoecker ◽

Kevin C. Eddinger ◽

Alison M. Pouch ◽

Benjamin M. Jackson

Keyword(s):

Machine Learning ◽

Abdominal Aortic Aneurysm ◽

Aortic Aneurysm ◽

Learning Model ◽

Geometric Characteristics ◽

Abdominal Aortic ◽

Machine Learning Model ◽

Aneurysm Growth

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On the Interrelationship Between Left Ventricle Infarction Geometry and Ischemic Mitral Regurgitation Grade

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_41 ◽

2021 ◽

pp. 425-434

Author(s):

Hao Liu ◽

Harshita Narang ◽

Robert Gorman ◽

Joseph Gorman ◽

Michael S. Sacks

Keyword(s):

Left Ventricle ◽

Mitral Regurgitation ◽

Ischemic Mitral Regurgitation

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Parameter Estimation in a Rule-Based Fiber Orientation Model from End Systolic Strains Using the Reduced Order Unscented Kalman Filter

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_33 ◽

2021 ◽

pp. 340-350

Author(s):

Luca Barbarotta ◽

Peter H. M. Bovendeerd

Keyword(s):

Parameter Estimation ◽

Kalman Filter ◽

Fiber Orientation ◽

Unscented Kalman Filter ◽

Rule Based ◽

Reduced Order ◽

Orientation Model

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The Effect of Modeling Assumptions on the ECG in Monodomain and Bidomain Simulations

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_48 ◽

2021 ◽

pp. 503-514

Author(s):

Dennis Ogiermann ◽

Daniel Balzani ◽

Luigi E. Perotti

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Modeling Patient-Specific Periaortic Interactions with Static and Dynamic Structures Using a Moving Heterogeneous Elastic Foundation Boundary Condition

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_31 ◽

2021 ◽

pp. 315-327

Author(s):

Johane Bracamonte ◽

John S. Wilson ◽

Joao S. Soares

Keyword(s):

Boundary Condition ◽

Elastic Foundation ◽

Patient Specific ◽

Dynamic Structures

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In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_58 ◽

2021 ◽

pp. 605-616

Author(s):

Jordi Mill ◽

Josquin Harrison ◽

Benoit Legghe ◽

Andy L. Olivares ◽

Xabier Morales ◽

...

Keyword(s):

Pulmonary Vein ◽

In Silico ◽

Left Atrial ◽

Thrombus Formation ◽

In Silico Analysis ◽

Large Cohort ◽

Silico Analysis

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Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_64 ◽

2021 ◽

pp. 671-678

Author(s):

Miguel Rodrigo ◽

Benjamin Pagano ◽

Sumiran Takur ◽

Alejandro Liberos ◽

Rafael Sebastián ◽

...

Keyword(s):

Machine Learning ◽

Atrial Arrhythmias

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Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_50 ◽

2021 ◽

pp. 523-530

Author(s):

Narimane Gassa ◽

Nejib Zemzemi ◽

Cesare Corrado ◽

Yves Coudière

Keyword(s):

Cardiac Electrophysiology ◽

Spiral Waves

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Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_44 ◽

2021 ◽

pp. 461-470

Author(s):

Buntheng Ly ◽

Sonny Finsterbach ◽

Marta Nuñez-Garcia ◽

Hubert Cochet ◽

Maxime Sermesant

Keyword(s):

Deep Learning ◽

Ventricular Arrhythmia

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The Effect of Ventricular Myofibre Orientation on Atrial Dynamics

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-030-78710-3_63 ◽

2021 ◽

pp. 659-670

Author(s):

Marina Strocchi ◽

Christoph M. Augustin ◽

Matthias A. F. Gsell ◽

Elias Karabelas ◽

Aurel Neic ◽

...

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Functional Imaging and Modeling of the Heart - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a Machine Learning Model

On the Interrelationship Between Left Ventricle Infarction Geometry and Ischemic Mitral Regurgitation Grade

Parameter Estimation in a Rule-Based Fiber Orientation Model from End Systolic Strains Using the Reduced Order Unscented Kalman Filter

The Effect of Modeling Assumptions on the ECG in Monodomain and Bidomain Simulations

Modeling Patient-Specific Periaortic Interactions with Static and Dynamic Structures Using a Moving Heterogeneous Elastic Foundation Boundary Condition

In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort

Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features

Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model

Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning

The Effect of Ventricular Myofibre Orientation on Atrial Dynamics

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science
Latest Publications