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Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
This book constitutes the refereed proceedings of the Third MICCAI Workshop on Distributed, Collaborative, and Federated Learning, DeCaF 2022, and the Second MICCAI Workshop on Affordable AI and Healthcare, FAIR 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. FAIR 2022 was held as a hybrid event. DeCaF 2022 accepted 14 papers from the 18 submissions received. The workshop aims at creating a scientific discussion focusing on the comparison, evaluation, and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases or where information privacy is a priority. For FAIR 2022, 4 papers from 9 submissions were accepted for publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting.
Graph Learning Techniques
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems. It includes practical insights into brain network analysis and the dynamics of COVID-19 spread. The guide provides a solid understanding of graphs by exploring different graph representations and the latest advancements in graph learning techniques. It focuses on diverse graph signal...
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
This book constitutes the refereed proceedings of the 10th International Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. CLIP 2021 accepted 9 papers from the 13 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer...
Pattern Recognition
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Trustworthy AI in Medical Imaging
Trustworthy AI in Medical Imaging brings together scientific researchers, medical experts, and industry partners working in the field of trustworthiness, bridging the gap between AI research and concrete medical applications and making it a learning resource for undergraduates, masters students, and researchers in AI for medical imaging applications. The book will help readers acquire the basic notions of AI trustworthiness and understand its concrete application in medical imaging, identify pain points and solutions to enhance trustworthiness in medical imaging applications, understand current limitations and perspectives of trustworthy AI in medical imaging, and identify novel research dir...
The Age of Em
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or "ems." Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.
Proceedings of the XII All Russian Scientific Conference on Current Issues of Continuum Mechanics and Celestial Mechanics
Zusammenfassung: This book presents peer reviewed articles from The XII All Russian Scientific Conference on Current issues of Continuum Mechanics and Celestial Mechanics (XII CICMCM), held on 15-17 November 2023, at Toms in, Russia. It summarizes the latest studies on shock and explosive loading of promising materials, including functionally graded materials, porous materials, multilayer ceramic structures, advanced materials and etc. It provides a platform for researchers (and professionals) to exchange ideas and present the latest findings in these important and growing areas of applied physics and engineering
Candidate Strategies and Electoral Competition in the Russian Federation
In the early 1990s, competitive elections in the Russian Federation signaled the end of the authoritarian political system dominated by a single political party. More than ten years and many elections later, a single party led by Russian President Vladimir Putin threatens to end Russia's democratic experiment. Russia's experience with new elections is not unique but it does challenge existing theories of democratic consolidation by showing that competitive elections cannot guarantee successful democratic consolidation. This book explores the conditions under which electoral competition contributes to democratic development by examining impact of elections on democratic consolidation. The theoretic framework focuses on the construction of infrastructure that transforms competitive elections into mechanisms of democratic development and shows how candidates for national parliamentary office systematically chose electoral strategies that undermined Russia's democratic foundation and created the conditions for a new single party autocracy to emerge.
