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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. .

Optical data processing. --- Machine learning. --- Pattern recognition. --- Application software. --- Education—Data processing. --- Image Processing and Computer Vision. --- Machine Learning. --- Pattern Recognition. --- Computer Appl. in Social and Behavioral Sciences. --- Computers and Education. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Learning, Machine --- Artificial intelligence --- Machine theory --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Optical data processing --- Aprenentatge automàtic --- Intel·ligència artificial --- Imatges per ressonància magnètica --- Malalties cardiovasculars --- Malalties de l'aparell cardiovascular --- Malalties del sistema cardiovascular --- Malalties --- Hipotensió arterial --- Malalties coronàries --- Malalties del cor --- Trombosi --- Cardiologia --- Diagnòstic per ressonància magnètica nuclear --- IRM --- MR Imaging --- MRI --- Tomografia per ressonància magnètica nuclear --- Diagnòstic per la imatge --- Ciència cognitiva --- Mètodes de simulació --- Processament de dades --- Sistemes autoorganitzatius --- Demostració automàtica de teoremes --- Intel·ligència artificial distribuïda --- Intel·ligència computacional --- Sistemes adaptatius --- Tractament del llenguatge natural (Informàtica) --- Raonament qualitatiu --- Representació del coneixement (Teoria de la informació) --- Sistemes de pregunta i resposta --- Traducció automàtica --- Visió per ordinador --- Xarxes neuronals (Informàtica) --- Xarxes semàntiques (Teoria de la informació) --- Agents intel·ligents (Programes d'ordinador) --- Programació per restriccions --- Vida artificial --- Aprenentatge (Intel·ligència artificial) --- Aprenentatge estadístic --- Teoria de l'aprenentatge estadístic --- Teoria de màquines --- Aprenentatge per reforç (Intel·ligència artificial) --- Sistemes classificadors (Intel·ligència artificial) --- Computer vision. --- Pattern recognition systems. --- Social sciences --- Education --- Computer Vision. --- Automated Pattern Recognition. --- Computer Application in Social and Behavioral Sciences. --- Data processing. --- Computer uses in education --- Computers in education --- Educational computing --- Microcomputer uses in education --- Microcomputers in education --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems

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This book constitutes the refereed proceedings of the Second International Workshop, FAIMI 2024, and the Third International Workshop, EPIMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, in October 2024. The 17 full papers presented in this book were carefully reviewed and selected from 21 submissions. FAIMI aimed to raise awareness about potential fairness issues in machine learning within the context of biomedical image analysis. The instance of EPIMI concentrates on topics surrounding open science, taking a critical lens on the subject.

Computer vision. --- Machine learning. --- Artificial intelligence. --- Computer networks. --- Information technology --- Computer Vision. --- Machine Learning. --- Artificial Intelligence. --- Computer Communication Networks. --- Computer Application in Administrative Data Processing. --- Management. --- Artificial intelligence --- Diagnostic imaging --- Medical applications --- Data processing

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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

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This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, held in conjunction with MICCAI 2023, in October 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023. CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice. For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level. .

Computer vision. --- Machine learning. --- Artificial intelligence. --- Computer networks. --- Information technology --- Computer Vision. --- Machine Learning. --- Artificial Intelligence. --- Computer Communication Networks. --- Computer Application in Administrative Data Processing. --- Management. --- Artificial intelligence --- Diagnostic imaging --- Medical applications --- Data processing