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“Inside-out” vs “Outside-in” Paradigms in Multiple Sclerosis Etiopathogenesis
Topic Editor Paolo Preziosa received speaker honoraria from Biogen Idec, Novartis, Merck Serono and ExceMED. The rest of Topic Editors declare no competing interests with regards to the Research Topic.
Medical Image Understanding and Analysis
This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017. The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification. The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.
Interventional Neuroradiology
Interventional Neuroradiology, Volume 179, provides a basic outline of the field of interventional neuroradiology that is accessible to fellows, residents, clinicians and researchers in various disciplines, from diagnostic and interventional radiology to vascular neurology, general and vascular neurosurgery, and vascular biology. This volume offers a timely update to experienced clinical practitioners in a logical, easy-to-follow format. Content includes neurovascular anatomy, vascular biology, neurovascular physiology, vascular imaging, as well as sections on the diagnosis and therapeutic treatment of neurovascular disease. - Explores the general scope of current clinical interventional neuroradiology, both for endovascular and percutaneous image-guided diagnosis and interventions in a variety of pathologies - Defines basic physiological principles (e.g., cerebral perfusion pressure, intracranial pressure, vasospasm, tissue osmolality) with reference to those most essential to the management of neurovascular diseases - Discusses pathophysiology and the unique challenges of pediatric cerebrovascular diseases, as well as endovascular and surgical therapies
Bildverarbeitung für die Medizin 2020
In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2020 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m.
Big Data in Multimodal Medical Imaging
There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.
Bildverarbeitung für die Medizin 2020
In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2020 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m.
