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, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru;
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This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019;
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clinical and technical information regarding the application of neuroimaging techniques to brain tumor and neuro-oncology patients. This new volume;
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Remarkable progress in neuro-oncology due to increased utilization of advanced imaging in clinical practice continues to accelerate;
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learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning;
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perfusion imaging in neuro-oncology; Application of diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) in the pre- and post;
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. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed;
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Handbook of Clinical Neurology: Neuro-Oncology, Part I summarizes the present state of scientific and clinical knowledge in the field;
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explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book's expert authors present;
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explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book's expert authors present;
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the role of neurologists and neuro-oncologists. Neuro-Oncology for the Clinical Neurologist is a first-of-its-kind resource that focuses on;
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-oncology, through to modelling techniques and finishing on the translation into clinical practice.;
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-oncology and provide readers with a thorough update that will inform their clinical practice. Since the previous edition, molecular neuropathology;
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With each passing year neuroimaging becomes more and more central in the diagnosis of neurologic disease, as its capacity to detect subtle;
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This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory;
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accessible, step-by-step guide to the latest treatments and considerations in neuro-oncology, with extended coverage of every stage of each procedure;
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/diagnosis and machine learning systems applied to breast MRI, and psycho-oncology issues. Alternatives to breast MRI screening such as pharmaco;
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efficacious evaluations and treatments. Clinical Pathways in Neuro-Ophthalmology: An Evidence-Based Approach, Third Edition reflects the authors;
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and pediatric epilepsy candidates and neuro-oncology cases. This book is ideal for neurosurgeons, neuropsychologists, neuro;
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oncology, gynecologic oncology, pediatric oncology, neuro-oncology, hemato-oncology, uro-oncology, and gastrointestinal oncology. This volume will;
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, Neuroimaging in Psychiatry provides an overview and the clinical relevance of the latest neuroimaging findings. With contributions from an;
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, including immunotherapy. This book is a critical for students, physicians and researchers in the fields of neuroscience, neuro-oncology;
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include: Clinical distinction of cerebral ischemia and triaging of patients in the ED: mimics, wake-ups, late strokes and chameleons; Telestroke;
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This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation;
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Handbook of Clinical Neurology: Neuro-Oncology, Part II provides an overview of the most recent developments in the field of neuro;
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Reflecting the increased importance of the collaborations between radiation oncology and informatics professionals, Informatics;
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