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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.

Optical data processing. --- Artificial intelligence. --- Pattern recognition. --- Application software. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Pattern Recognition. --- Computer Applications. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Heart --- Imaging systems in medicine --- Three-dimensional imaging in medicine --- Imaging --- Cardiopulmonary system --- Cardiovascular system --- Chest

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Social sciences (general) --- Demography --- Operational research. Game theory --- Mathematical statistics --- Mathematics --- Programming --- Computer. Automation --- computervisie --- stochastische analyse --- analytische chemie --- biochemie --- informatica --- sociale wetenschappen --- statistiek --- externe fixatie (geneeskunde --- programmeren (informatica) --- informatietechnologie

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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. .

Social sciences (general) --- Computer assisted instruction --- Mathematical statistics --- Programming --- Computer. Automation --- computervisie --- patroonherkenning --- factoranalyse --- informatica --- sociale wetenschappen --- computerondersteund onderwijs --- programmeren (informatica)

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Heart --- Imaging systems in medicine --- Imaging --- Cardiopulmonary system --- Cardiovascular system --- Chest