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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada;

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

Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen;

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October;

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

Computational Models of the Heart: Imaging and Modelling Challenges. 7th International Workshop, STACOM 2016, Held in conjunction with MICCAI 2016;

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Atrial Fibrillation in Heart Failure, An Issue of Cardiology Clinics

needs and future trials, Randomized clinical trials of catheter ablation for the treatment of Atrial FibrillationHeart Failure, AF ablation;

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Risk Factors in Atrial Fibrillation: Appraisal of AF Risk Stratification, An Issue of Cardiac Electrophysiology Clinics

, Prehypertension, Hypertensive Heart Disease and Atrial Fibrillation; Pulmonary Disease, Pulmonary Hypertension and Atrial Fibrillation; Heart Failure with;

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Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: * Introduces the use of mass spectrometry in protein;

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Advances in Cardiac Mapping and Catheter Ablation: Part II, An Issue of Cardiac Electrophysiology Clinics

Congenital Heart Disease; Mapping and Ablation of Ventricular Arrhythmias from the RV and LV Outflow Tract; Novel Insights on Idiopathic VF and Early;

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Atrial Fibrillation

Atrial fibrillation (AF) refers to an abnormal heart condition that is characterized by the irregular and rapid beating of the atria;

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Computational Intelligence in Medical Imaging

compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent;

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Computational Intelligence in Medical Imaging

compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent;

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Statistical Analysis of Microbiome Data

technologies. The statistical challenges include computational difficulties due to the high volume of data; normalization and quantification;

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Model Validation and Uncertainty Quantification, Volume 3

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics;

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Biomedical Image Analysis

, covering segmentation, registration and visualisation, and focusing on the key theories, algorithms and applications that have emerged from recent;

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Large-Scale Inverse Problems and Quantification of Uncertainty

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical;

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Pattern Recognition

learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture;

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Cardiology Science and Technology

textbook, it addresses the teaching, research, and clinical aspects of cardiovascular medical engineering and computational cardiology. The;

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Segmentation, MRBrainS18, Computational Precision Medicine, CPM, and Stroke Workshop on Imaging and Treatment Challenges, SWITCH, which were held;

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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges;

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Statistical Models in S

statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling;

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Patient-Specific Modeling of the Cardiovascular System

. Biophysically based models of the human heart and circulation, based on patient-specific anatomy but also informed by po- lation atlases and;

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Patient-Specific Modeling of the Cardiovascular System

. Biophysically based models of the human heart and circulation, based on patient-specific anatomy but also informed by po- lation atlases and;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; intraoperative;

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Mathematical Modelling of the Human Cardiovascular System

cardiovascular system: arterial circulation and heart function. It systematically describes all aspects of the problem, stating the basic physical;

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Uncertainty Quantification

algorithms. Uncertainty Quantification provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response;

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Cardiology Science and Technology

textbook, it addresses the teaching, research, and clinical aspects of cardiovascular medical engineering and computational cardiology. The;

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Atrial Fibrillation, An Issue of Cardiology Clinics

Atrial fibrillation is the most common cardiac arrhythmia. This issue of Cardiology Clinics examines following facets of atrial;

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