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Myocardial Pathology Segmentation Combining Multi Sequence Cardiac Magnetic Resonance Images


Myocardial Pathology Segmentation Combining Multi Sequence Cardiac Magnetic Resonance Images
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Myocardial Pathology Segmentation Combining Multi Sequence Cardiac Magnetic Resonance Images


Myocardial Pathology Segmentation Combining Multi Sequence Cardiac Magnetic Resonance Images
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Author : Xiahai Zhuang
language : en
Publisher: Springer Nature
Release Date : 2020-12-21

Myocardial Pathology Segmentation Combining Multi Sequence Cardiac Magnetic Resonance Images written by Xiahai Zhuang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-21 with Computers categories.


This book constitutes the First Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, MyoPS 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 crisis. The 12 full and 4 short papers presented in this volume were carefully reviewed and selected form numerous submissions. This challenge aims not only to benchmark various myocardial pathology segmentation algorithms, but also to cover the topic of general cardiac image segmentation, registration and modeling, and raise discussions for further technical development and clinical deployment.



Computer Vision Eccv 2024


Computer Vision Eccv 2024
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Author : Aleš Leonardis
language : en
Publisher: Springer Nature
Release Date : 2024-09-28

Computer Vision Eccv 2024 written by Aleš Leonardis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-28 with Computers categories.


The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.



Comprehensive Analysis And Computing Of Real World Medical Images


Comprehensive Analysis And Computing Of Real World Medical Images
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Author : Xiahai Zhuang
language : en
Publisher: Springer Nature
Release Date : 2025-04-02

Comprehensive Analysis And Computing Of Real World Medical Images written by Xiahai Zhuang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-02 with Technology & Engineering categories.


This book constitutes the proceedings of the First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 23 full papers together included in this volume were carefully reviewed and selected from numerous submissions. Five tracks have been held in this challenge, including one comprehensive issue and four specific tracks with corresponding images and clinical problems: !-- [if !supportLists]--1. !--[endif]--Transferring Foundation Models for Multi-center Real-World Medical Image Analysis (TFM4MedIA) !-- [if !supportLists]--2. !--[endif]--Left Atrial and Scar Quantification & Segmentation (LAScarQS++) !-- [if !supportLists]--3. !--[endif]--Liver Fibrosis Quantification and Analysis (LiQA) !-- [if !supportLists]--4. !--[endif]--Myocardial Pathology Segmentation (MyoPS++) !-- [if !supportLists]--5. !--[endif]--Whole Heart Segmentation (WHS++)



Deep Learning For Medical Image Analysis


Deep Learning For Medical Image Analysis
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Author : S. Kevin Zhou
language : en
Publisher: Academic Press
Release Date : 2023-11-23

Deep Learning For Medical Image Analysis written by S. Kevin Zhou and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Computers categories.


Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. - Covers common research problems in medical image analysis and their challenges - Describes the latest deep learning methods and the theories behind approaches for medical image analysis - Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment· Includes a Foreword written by Nicholas Ayache



Machine Learning Optimization And Data Science


Machine Learning Optimization And Data Science
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Author : Giuseppe Nicosia
language : en
Publisher: Springer Nature
Release Date : 2025-03-03

Machine Learning Optimization And Data Science written by Giuseppe Nicosia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Computers categories.


The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22–25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.



Artificial Intelligence In Heart Modelling


Artificial Intelligence In Heart Modelling
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Author : Rafael Sebastian
language : en
Publisher: Frontiers Media SA
Release Date : 2022-05-11

Artificial Intelligence In Heart Modelling written by Rafael Sebastian and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-11 with Science categories.




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 : 2024-10-02

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 2024-10-02 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.



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.



Electroanatomical Mapping


Electroanatomical Mapping
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Author : Amin Al-Ahmad
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-26

Electroanatomical Mapping written by Amin Al-Ahmad and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-26 with Medical categories.


Catheter ablation has become a mainstay in the therapy of cardiac arrhythmias. The development of electroanatomical mapping technologies (such as CARTO) has facilitated more complex ablation procedures. This brand new book encompasses cardiac arrhythmias and practical tips for users of electroanatomical mapping, providing a color atlas of different arrhythmias, presented as cases, that have been carefully mapped and correlated with clinical and electrogram data. Including maps from all the major mapping systems such as CARTO, NAVX, ESI, RPM as well as activation maps and voltage maps, this book is an ideal reference book and learning tool for electrophysiologists, electrophysiology fellows and electrophysiology laboratory staff.



Statistical Atlases And Computational Models Of The Heart Multi Sequence Cmr Segmentation Crt Epiggy And Lv Full Quantification Challenges


Statistical Atlases And Computational Models Of The Heart Multi Sequence Cmr Segmentation Crt Epiggy And Lv Full Quantification Challenges
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Author : Mihaela Pop
language : en
Publisher: Springer Nature
Release Date : 2020-01-22

Statistical Atlases And Computational Models Of The Heart Multi Sequence Cmr Segmentation Crt Epiggy And Lv Full Quantification Challenges written by Mihaela Pop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-22 with Computers categories.


This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 42 revised full workshop papers were carefully reviewed and selected from 76 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, 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.