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Collaborative Efforts for Understanding the Human Brain
The human brain is incredibly complex, and the more we learn about it, the more we realize how much we need a truly interdisciplinary team to make sense of its intricacies. This eBook presents the latest efforts in collaborative team science from around the world, all aimed at understanding the human brain.
Demystifying The Female Brain
Understanding how your brain works during the key stages of life is essential to maintaining your health. Dr Sarah McKay is a neuroscientist who knows everything worth knowing about women's brains, and shares it in this cutting-edge, essential book. This is not a book about the differences between male and female brains, nor a book using neuroscience to explain gender-specific behaviours, the 'battle of the sexes' or 'Mars-Venus' stereotypes. This is a book about what happens to the brains of women as they cycle through the phases of life, which are unique to females by virtue of their biology and in particular their hormones. In Demystifying The Female Brain, Dr McKay gives insights into brain development during infancy, childhood and the teenage years (including the onset of puberty) and looks at pregnancy, motherhood, and mental health. The book weaves together findings from the research lab, interviews with neuroscientists and other researchers working in the disciplines of neuroendocrinology, brain development, brain health and ageing, along with stories and case studies.
Biocomputing 2022 - Proceedings Of The Pacific Symposium
The Pacific Symposium on Biocomputing (PSB) 2022 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2022 will be held on January 3 - 7, 2022 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2022 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a...
Neuroscience for Addiction Medicine: From Prevention to Rehabilitation - Methods and Interventions
Neuroscience for Addiction Medicine: From Prevention to Rehabilitation - Methods and Interventions is the latest volume from Progress in Brain Research focusing on new trends and developments in addiction research. This established international series examines major areas of basic and clinical research within neuroscience, as well as popular emerging subfields such as addiction. This volume takes an integrated approach to review and summarize some of the most recent progress from the subfield of addiction research, with particular emphasis on potential applications in a clinical setting. - Explores new trends and developments in basic and clinical research in the addiction subfield of neuroscience - Uses an integrated approach to review and summarize recent progress - Emphasizes potential applications in a clinical setting - Enhances the literature of neuroscience by further expanding the established international series Progress in Brain Research
Personalized Psychiatry
Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders. - Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics - Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry - Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Machine Learning in Medical Imaging
This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
Shape in Medical Imaging
This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical applications, e.g., from the fields of geometric learning or spectral shape analysis.
Explainable Deep Learning AI
Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI – deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods s...
Madness and Genetic Determinism
The book covers important topics in the psychiatric genetics (PG) field. Many of these have been overlooked in mainstream accounts, and many contemporary PG researchers have omitted or whitewashed the eugenic and “racial hygiene” origins of the field. The author critically analyzes PG evidence in support of genetic claims which, given the lack of gene discoveries, are based mainly on the results of psychiatric twin and adoption studies. Given that the evidence in favor of genetic influences is much weaker than mainstream sources report, due to serious issues in twin and adoption research, the author points to environmental factors, including trauma, as the main causes of conditions such as schizophrenia.
