Statistical Atlases And Computational Models Of The Heart Multi Sequence Cmr Segmentation Crt Epiggy And Lv Full Quantification Challenges
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Statistical Atlases and Computational Models of the Heart Multi Sequence CMR Segmentation CRT EPiggy and LV Full Quantification Challenges
Author | : Mihaela Pop,Maxime Sermesant,Oscar Camara,Xiahai Zhuang,Shuo Li,Alistair Young,Tommaso Mansi,Avan Suinesiaputra |
Publsiher | : Springer Nature |
Total Pages | : 426 |
Release | : 2020-01-22 |
Genre | : Computers |
ISBN | : 9783030390747 |
Download Statistical Atlases and Computational Models of the Heart Multi Sequence CMR Segmentation CRT EPiggy and LV Full Quantification Challenges Book in PDF, Epub and Kindle
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.
Statistical Atlases and Computational Models of the Heart Multi Disease Multi View and Multi Center Right Ventricular Segmentation in Cardiac MRI Challenge
Author | : Esther Puyol Antón,Mihaela Pop,Carlos Martín-Isla,Maxime Sermesant,Avan Suinesiaputra,Oscar Camara,Karim Lekadir,Alistair Young |
Publsiher | : Springer Nature |
Total Pages | : 397 |
Release | : 2022-01-14 |
Genre | : Computers |
ISBN | : 9783030937225 |
Download Statistical Atlases and Computational Models of the Heart Multi Disease Multi View and Multi Center Right Ventricular Segmentation in Cardiac MRI Challenge Book in PDF, Epub and Kindle
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.
Functional Imaging and Modeling of the Heart
Author | : Olivier Bernard,Patrick Clarysse,Nicolas Duchateau,Jacques Ohayon,Magalie Viallon |
Publsiher | : Springer Nature |
Total Pages | : 735 |
Release | : 2023-06-15 |
Genre | : Computers |
ISBN | : 9783031353024 |
Download Functional Imaging and Modeling of the Heart Book in PDF, Epub and Kindle
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).
Deep Learning for Medical Image Analysis
Author | : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen |
Publsiher | : Academic Press |
Total Pages | : 544 |
Release | : 2023-12-01 |
Genre | : Computers |
ISBN | : 9780323858885 |
Download Deep Learning for Medical Image Analysis Book in PDF, Epub and Kindle
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
Statistical Atlases and Computational Models of the Heart Atrial Segmentation and LV Quantification Challenges
Author | : Mihaela Pop,Maxime Sermesant,Jichao Zhao,Shuo Li,Kristin McLeod,Alistair Young,Kawal Rhode,Tommaso Mansi |
Publsiher | : Springer |
Total Pages | : 497 |
Release | : 2019-03-05 |
Genre | : Computers |
ISBN | : 9783030120290 |
Download Statistical Atlases and Computational Models of the Heart Atrial Segmentation and LV Quantification Challenges Book in PDF, Epub and Kindle
This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 52 revised full workshop papers were carefully reviewed and selected from 60 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.
Artificial Intelligence in Heart Modelling
Author | : Rafael Sebastian,Linwei Wang,Natalia A. Trayanova |
Publsiher | : Frontiers Media SA |
Total Pages | : 356 |
Release | : 2022-05-11 |
Genre | : Science |
ISBN | : 9782889761500 |
Download Artificial Intelligence in Heart Modelling Book in PDF, Epub and Kindle
Statistical Atlases and Computational Models of the Heart M Ms and EMIDEC Challenges
Author | : Esther Puyol Anton,Mihaela Pop,Maxime Sermesant,Victor Campello,Alain Lalande,Karim Lekadir,Avan Suinesiaputra,Oscar Camara,Alistair Young |
Publsiher | : Springer Nature |
Total Pages | : 427 |
Release | : 2021-01-28 |
Genre | : Computers |
ISBN | : 9783030681074 |
Download Statistical Atlases and Computational Models of the Heart M Ms and EMIDEC Challenges Book in PDF, Epub and Kindle
This book constitutes the proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020, as well as two challenges: M&Ms - The Multi-Centre, Multi-Vendor, Multi-Disease Segmentation Challenge, and EMIDEC - Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Challenge. The 43 full papers included in this volume were carefully reviewed and selected from 70 submissions. 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.
Biomedical Image Synthesis and Simulation
Author | : Ninon Burgos,David Svoboda |
Publsiher | : Academic Press |
Total Pages | : 676 |
Release | : 2022-06-18 |
Genre | : Computers |
ISBN | : 9780128243503 |
Download Biomedical Image Synthesis and Simulation Book in PDF, Epub and Kindle
Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future. Gives state-of-the-art methods in (bio)medical image synthesis Explains the principles (background) of image synthesis methods Presents the main applications of biomedical image synthesis methods