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Titlebook: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers; 13th International W Oscar Camara,Esthe

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書(shū)目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers
副標(biāo)題13th International W
編輯Oscar Camara,Esther Puyol-Antón,Alistair Young
視頻videohttp://file.papertrans.cn/877/876377/876377.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers; 13th International W Oscar Camara,Esthe
描述.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..
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; computer science; computer systems; computer vision; deep learning; education; en
版次1
doihttps://doi.org/10.1007/978-3-031-23443-9
isbn_softcover978-3-031-23442-2
isbn_ebook978-3-031-23443-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Xiaoran Zhang,Chenyu You,Shawn Ahn,Juntang Zhuang,Lawrence Staib,James Duncanhm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the opera
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Xabier Morales,Carlos Albors,Jordi Mill,Oscar Camarahm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the opera
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Dieuwertje Alblas,Christoph Brune,Kak Khee Yeung,Jelmer M. Wolterink with exercises and suggested reading, suitable for graduate.This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field,
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