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Clinical Neurology
Neurology is an exciting and evolving clinical science. The fact that many previously untreatable diseases are now known to be not only treatable, but preventable, has raised new optimism for the probability that treatments will emerge for other currently incurable neurologic disorders. This book is written and illustrated for students of clinical
Cerebral Small Vessel Disease
Up-to-date discussion of the etiology, diagnosis, treatment, and prevention of this common cause of stroke and cognitive impairment.
Stroke
In the second edition of this successful book, the authors have again worked closely together as a team to produce a seamless and consistently styled account of the diagnosis and management of stroke. What is different about this book? As many of the excellent reviews of the first edition point out, it presents a unique approach to stroke, both from the uniformity and clarity of the style (achievable only by a team working very closely together) and the integrated clinical management that weaves together causation, presentation, diagnosis, management and rehabilitation. This book deliberately poses and answers many of the burning questions and controversies in stroke and achieves a rare combination of readability and broad coverage.
MAPPING: MAnagement and Processing of Images for Population ImagiNG
Several recent papers underline methodological points that limit the validity of published results in imaging studies in the life sciences and especially the neurosciences (Carp, 2012; Ingre, 2012; Button et al., 2013; Ioannidis, 2014). At least three main points are identified that lead to biased conclusions in research findings: endemic low statistical power and, selective outcome and selective analysis reporting. Because of this, and in view of the lack of replication studies, false discoveries or solutions persist. To overcome the poor reliability of research findings, several actions should be promoted including conducting large cohort studies, data sharing and data reanalysis. The cons...
Medical Image Understanding and Analysis
Zusammenfassung: This two-volume set LNCS 14859-14860 constitutes the proceedings of the 28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024, held in Manchester, UK, during July 24-26, 2024. The 59 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: Part I : Advancement in Brain Imaging; Medical Images and Computational Models; and Digital Pathology, Histology and Microscopic Imaging. Part II : Dental and Bone Imaging; Enhancing Low-Quality Medical Images; Domain Adaptation and Generalisation; and Dermatology, Cardiac Imaging and Other Medical Imaging
Oxford Textbook of Neurologic and Neuropsychiatric Epidemiology
Neurologic and neuropsychiatric disorders are of great importance to societies and they also raise special considerations in epidemiological research methodology. Not only do neurologic and neuropsychiatric disorders form a major group of disorders associated with ageing populations, but those disorders that occur in earlier life can be associated with severe individual, family, and societal distress and burden. The inter-relationship of syndromes and disorders is a topic of major interest and growing biological insights across psychiatry and neurology. This includes not only overlaps in neurodegenerative syndromes but also those related to other systems such as metabolic, inflammatory, immu...
The Ischemic Penumbra
The Ischemic Penumbra presents the current status of concepts and research on this topic and identifies the latest methods for clinicians to quickly and efficiently recognize viable cerebral tissue for enhanced stroke management. Focusing on state-of-the-science technologies and current trends, the book examines imaging strategies utilizing PET, SP
Clinical MR Neuroimaging
Covers each physiological MR methodology and their applications to all major neurological diseases.
Medical Image Understanding and Analysis
This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020. Due to COVID-19 pandemic the conference was held virtually. The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.
