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In diesem Open-Access-Buch werden in einem methodisch unkonventionellen, quasi-archäologischen Vorgehen aus Architekturen von Schulhäusern die in ,Stein gehauenen‘ Sinnstrukturen rekonstruiert. In ihren Raum(an)ordnungen eröffnen Architekturen einen Möglichkeitsraum, dem spezifische pädagogische Ordnungen und Vorstellungen ,guter Schule‘ eingeschrieben sind und der die Praktiken und Beziehungen der Akteure vorstrukturiert. Schulgebäude und architektonische Artefakte fungieren somit als eine latent wirkende Einflussstruktur, die subtil und zugleich dauerhaft die Schule in ihrer ,Schulförmigkeit‘ festschreibt. Schulförmige Artefakte erzeugen eindeutige, monofunktionale Handlungsaufforderungen und unterbinden gleichzeitig Handlungsalternativen. Der Inhalt Schulhäuser als Orte pädagogisch initiierter Bildungs- und Sozialisationsprozesse Sozio-materielle Effektivität von Architekturen und architektonischen Artefakten Methode, Methodologie und Konstitutionstheorie einer fallrekonstruktiven Architektursoziologie Die Zielgruppen Dozierende und Studierende der Fachgebiete Erziehungswissenschaften, Pädagogik, Soziologie und Architektur Praktiker und Praktikerinnen sowie Entscheidungsträger und Entscheidungsträgerinnen in den Bereichen Schulbau und -planung sowie Forschende mit Interessen an rekonstruktiver Bildungsforschung Der Autor Jan Egger forscht und lehrt als Dozent an der Professur für Unterrichtsentwicklung und -forschung an der Pädagogischen Hochschule der Fachhochschule Nordwestschweiz.
Social sciences --- Sociology --- Methodology of the Social Sciences. --- Sociology of Education. --- Research Methodology. --- Methodology. --- Research. --- Sociological research --- Social sciences. --- Educational sociology . --- Education and sociology. --- Sociology—Research. --- Education and sociology --- Social problems in education --- Society and education --- Sociology, Educational --- Education --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Aims and objectives --- Educational sociology --- Sociology—Research
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This book constitutes the First Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 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 pandemic. The 10 papers presented together with one invited paper and a dataset descriptor in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.
Optical data processing. --- Artificial intelligence. --- Application software. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Artificial Intelligence. --- Computer Appl. in Social and Behavioral Sciences. --- 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 --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Optical equipment --- Skull --- Implants, Artificial --- Surgery --- Surgery. --- Design and construction --- Artificial implants --- Implants, Surgical --- Surgical implants --- Biomedical materials --- Prosthesis --- Head --- Brain case --- Braincase --- Brainpan --- Cranium --- Fontanel --- Fontanelle --- Bones --- Skeleton
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Maxilla --- Upper jaw --- Jaws --- Mouth --- Face --- Computer-assisted surgery. --- Surgery. --- Computer-aided surgery --- Image-guided surgery --- Surgery --- Maxillofacial surgery --- Dental surgery --- Oral surgery --- Surgery, Dental --- Surgery, Oral --- Oral surgeons
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Skull --- Implants, Artificial --- Surgery. --- Design and construction. --- Artificial implants --- Implants, Surgical --- Surgical implants --- Biomedical materials --- Prosthesis --- Surgery --- Head
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This book constitutes the First Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 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 pandemic. The 10 papers presented together with one invited paper and a dataset descriptor in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.
Electronics --- Telecommunication technology --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- optische communicatie --- optische elektronica --- applicatiebeheer --- apps --- datacommunicatie --- KI (kunstmatige intelligentie) --- architectuur (informatica) --- AI (artificiële intelligentie)
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This book constitutes the Second Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September, 2021. The challenge took place virtually due to the COVID-19 pandemic. The 7 papers are presented together with one invited paper, one qualitative evaluation criteria from neurosurgeons and a dataset descriptor. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.
Computer assisted instruction --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- applicatiebeheer --- apps --- grafische vormgeving --- computerondersteund onderwijs --- KI (kunstmatige intelligentie) --- architectuur (informatica) --- AI (artificiële intelligentie)
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Electronics --- Telecommunication technology --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- optische communicatie --- optische elektronica --- applicatiebeheer --- apps --- datacommunicatie --- KI (kunstmatige intelligentie) --- architectuur (informatica)
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Computer assisted instruction --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- applicatiebeheer --- apps --- grafische vormgeving --- computerondersteund onderwijs --- KI (kunstmatige intelligentie) --- architectuur (informatica)
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This book constitutes the First Segmentation of the Aorta Challenge, SEG.A. 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, on October 8, 2023. The 8 full and 3 short papers presented have been carefully reviewed and selected for inclusion in the book. They focus specifically on robustness, visual quality and meshing of automatically generated segmentations of aortic vessel trees from CT imaging. The challenge was organized as a ”container submission” challenge, where participants had to upload their algorithms to Grand Challenge in the form of Docker containers. Three tasks were created for SEG.A. 2023.
Image processing --- Computer vision. --- Image processing. --- Social sciences --- Computers. --- Education --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image Processing. --- Computer Application in Social and Behavioral Sciences. --- Computing Milieux. --- Computers and Education. --- Digital techniques. --- Data processing. --- Aorta --- Diagnostic imaging --- Radiography. --- Data processing
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Social sciences (general) --- Demography --- Computer assisted instruction --- Teaching --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- DIP (documentimage processing) --- beeldverwerking --- analytische chemie --- biochemie --- computers --- grafische vormgeving --- informatica --- onderwijs --- sociale wetenschappen --- computerondersteund onderwijs --- opvoeding
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