[PDF] Statistical Atlases And Computational Models Of The Heart Multi Disease Multi View And Multi Center Right Ventricular Segmentation In Cardiac Mri Challenge - eBooks Review

Statistical Atlases And Computational Models Of The Heart Multi Disease Multi View And Multi Center Right Ventricular Segmentation In Cardiac Mri Challenge


Statistical Atlases And Computational Models Of The Heart Multi Disease Multi View And Multi Center Right Ventricular Segmentation In Cardiac Mri Challenge
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Statistical Atlases And Computational Models Of The Heart Multi Disease Multi View And Multi Center Right Ventricular Segmentation In Cardiac Mri Challenge


Statistical Atlases And Computational Models Of The Heart Multi Disease Multi View And Multi Center Right Ventricular Segmentation In Cardiac Mri Challenge
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Author : Esther Puyol Antón
language : en
Publisher: Springer Nature
Release Date : 2022-01-14

Statistical Atlases And Computational Models Of The Heart Multi Disease Multi View And Multi Center Right Ventricular Segmentation In Cardiac Mri Challenge written by Esther Puyol Antón and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-14 with Computers categories.


This book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. The 25 regular workshop papers included in this volume were carefully reviewed and selected after being revised. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. In addition, 15 papers from the M&MS-2 challenge are included in this volume. The Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2) is focusing on the development of generalizable deep learning models for the Right Ventricle that can maintain good segmentation accuracy on different centers, pathologies and cardiac MRI views. There was a total of 48 submissions to the workshop.



Statistical Atlases And Computational Models Of The Heart Regular And Cmrxmotion Challenge Papers


Statistical Atlases And Computational Models Of The Heart Regular And Cmrxmotion Challenge Papers
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Author : Oscar Camara
language : en
Publisher: Springer Nature
Release Date : 2023-01-27

Statistical Atlases And Computational Models Of The Heart Regular And Cmrxmotion Challenge Papers written by Oscar Camara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-27 with Computers categories.


This book constitutes the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2022, held in conjunction with the 25th MICCAI conference. The 34 regular workshop papers included in this volume were carefully reviewed and selected after being revised and deal with topics such as: common cardiac segmentation and modelling problems to more advanced generative modelling for ageing hearts, learning cardiac motion using biomechanical networks, physics-informed neural networks for left atrial appendage occlusion, biventricular mechanics for Tetralogy of Fallot, ventricular arrhythmia prediction by using graph convolutional network, and deeper analysis of racial and sex biases from machine learning-based cardiac segmentation. In addition, 14 papers from the CMRxMotion challenge are included in the proceedings which aim to assess the effects of respiratory motion on cardiac MRI (CMR) imaging quality and examine the robustness of segmentation models in face of respiratory motion artefacts. A total of 48 submissions to the workshop was received.



Functional Imaging And Modeling Of The Heart


Functional Imaging And Modeling Of The Heart
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Author : Olivier Bernard
language : en
Publisher: Springer Nature
Release Date : 2023-06-15

Functional Imaging And Modeling Of The Heart written by Olivier Bernard and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-15 with Computers categories.


This book constitutes the refereed proceedings of the 12th International Conference on Functional Imaging and Modeling of the Heart, held in Lyon, France, in June 2023. The 72 full papers were carefully reviewed and selected from 80 submissions. The focus of the papers is on following topics: increased imaging resolutions, data explosion, sophistication of computational models and advent of AI frameworks, while new imaging modalities have emerged (e.g. combined PET-MRI, Spectral CT).



Myopic Maculopathy Analysis


Myopic Maculopathy Analysis
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Author : Bin Sheng
language : en
Publisher: Springer Nature
Release Date : 2024-02-28

Myopic Maculopathy Analysis written by Bin Sheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-28 with Computers categories.


This book constitutes the MICCAI Challenge, MMAC 2023, that held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, which took place in October 2023. The 11 long papers included in this volume presents a wide range of state-of-the-art deep learning methods developed for the various tasks presented in the challenge.



Multiscale Cohort Modeling Of Atrial Electrophysiology Risk Stratification For Atrial Fibrillation Through Machine Learning On Electrocardiograms


Multiscale Cohort Modeling Of Atrial Electrophysiology Risk Stratification For Atrial Fibrillation Through Machine Learning On Electrocardiograms
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Author : Nagel, Claudia
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-04-24

Multiscale Cohort Modeling Of Atrial Electrophysiology Risk Stratification For Atrial Fibrillation Through Machine Learning On Electrocardiograms written by Nagel, Claudia and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-24 with categories.


An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and simulation can be a valuable data resource for improving automated atrial fibrillation risk stratification with machine learning techniques and thus, reduces the risk of stroke in affected patients.



Medical Image Computing And Computer Assisted Intervention Miccai 2024


Medical Image Computing And Computer Assisted Intervention Miccai 2024
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Author : Marius George Linguraru
language : en
Publisher: Springer Nature
Release Date : 2024-10-22

Medical Image Computing And Computer Assisted Intervention Miccai 2024 written by Marius George Linguraru and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.


The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6–10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.



Personalized Analysis Of Left Atrial Blood Flow Through Computational Modeling


Personalized Analysis Of Left Atrial Blood Flow Through Computational Modeling
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Author : Sophia Bäck
language : en
Publisher: Linköping University Electronic Press
Release Date : 2025-04-02

Personalized Analysis Of Left Atrial Blood Flow Through Computational Modeling written by Sophia Bäck and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-02 with categories.


In this thesis, the atrial blood flow was modeled using computational fluid dynamics (CFD) to better understand atrial hemodynamics and blood stasis. Atrial hemodynamics and especially stasis are of interest since thrombi can form in the left atrium, travel with the blood stream to the brain, and cause strokes. To model atrial blood flow in a personalized manner, several modeling assumptions and choices need to be made, for example how to model the motion of the atrial wall. There are different approaches to estimate stasis; however, there is no standard method. While it is known that in patients with atrial fibrillation (AF), the stroke risk is increased, the exact mechanisms for this are not fully understood, especially in patients that are in sinus rhythm most of the time. One approach to reduce the stroke risk is to occlude the left atrial appendage (LAA). However, this has not been evaluated for patients in an early phase of AF. The aim of this thesis was to enhance our understanding of left atrial hemodynamics. For this, the blood flow in the left atrium was simulated using CFD based on time-resolved CT images, including the patient-specific geometry and wall motion. In this thesis, different stasis markers are investigated and a new method to quantify atrial hemodynamics was developed, splitting the atrial blood flow into 6 components. Additionally, virtual LAA occlusion was investigated to see how it impacts atrial hemodynamics during sinus rhythm. In this thesis, the atrial blood flow and stasis in 21 paroxysmal AF patients during sinus rhythm were compared to 8 controls. The wall motion tracked from time-resolved CT that was used in the CFD simulations showed similar flow rates as measurements from 4D flow MRI. All stasis markers investigated showed higher stasis in AF patients during sinus rhythm compared to the controls. Atrial flow component analysis revealed how blood travels through the left atrium. In the control group, the blood flow was dominated by components characterizing a direct path through the LA. In the patients with AF, however, an increased amount of blood stays in the LA for more than two heart beats and more blood flows back to the lungs. Virtual LAAO showed a reduction of stasis, for some individuals to similar levels as the control group. For others, stasis was reduced but still high, and stasis was located close to the occlusion device. This could indicate an increased risk for device-related thrombi. In conclusion, this thesis contributes to our understanding of the atrial blood flow. Using CT-based CFD simulations, we could show that stasis is increased in AF patients during sinus rhythm. In the future, adding patient-specific stasis assessment could improve decision-making to prescribe anticoagulants and thus reduce the incidence of cardioembolic strokes.



Ai And Big Data In Cardiology


Ai And Big Data In Cardiology
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Author : Nicolas Duchateau
language : en
Publisher: Springer Nature
Release Date : 2023-05-04

Ai And Big Data In Cardiology written by Nicolas Duchateau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-04 with Medical categories.


This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems. Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.



Ultra Widefield Fundus Imaging For Diabetic Retinopathy


Ultra Widefield Fundus Imaging For Diabetic Retinopathy
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Author : Bin Sheng
language : en
Publisher: Springer Nature
Release Date : 2025-05-13

Ultra Widefield Fundus Imaging For Diabetic Retinopathy written by Bin Sheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.


This book constitutes the proceedings of the First MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, UWF4DR 2024, held in Marrakesh, Morocco, on October 10, 2024. The 17 full papers included in this book were carefully reviewed and selected from 17 submissions. They present methodologies and results of the challenge which consists of three clinically relevant subtasks: image quality assessment for ultra-widefield fundus (Task 1), identification of referable diabetic retinopathy (Task 2), and identification of diabetic macular edema (Task 3).



Mri From Picture To Proton


Mri From Picture To Proton
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Author : Donald W. McRobbie
language : en
Publisher: Cambridge University Press
Release Date : 2003

Mri From Picture To Proton written by Donald W. McRobbie and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Medical categories.


Presents the basics of MR practice and theory as the practitioner first meets them.