Titlebook: Marine Renewable Energy Technology and Environmental Interactions; Mark A. Shields,Andrew I.L. Payne Book 2014 Springer Science+Business M

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, AFOV of the clinically available PET tomographs results in a very low sensitivity (.1%) and requires an extended time for a scan of a whole human body. While these drawbacks are addressed in the so-called, Total Body PET concept (scanner with a significantly elongated field of view), it creates ne

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nonradioactive

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Thomas G. Dahlgren,Marie-Lise Schl?ppy,Aleksej ?a?kov,Mathias H. Andersson,Yuri Rzhanov,Ilker Fersmall vessel disease (SVD). Segmentation and differentiation of these lesions is important in diagnosis, prognosis and management, but this is challenging to automate because they have similar appearance. In this study, we used MRI scans from four cohorts of people with sporadic SVD with both WMH an

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Dan Wilhelmsson,Olivia Langhamers, facilitating advancements in medical research, diagnostics, and treatment planning. Traditional methods for shape modeling from imaging data demand significant manual and computational resources. Additionally, these methods necessitate repeating the entire modeling pipeline to derive shape descri

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Andrew B. Gill,Ian Gloyne-Philips,Joel Kimber,Peter Sigrayathologies. While angiographic sequences such as time-of-flight magnetic resonance angiography (TOF-MRA) are indispensable tools for the assessment of cerebral arteries, extending segmentation methods to include structural MRI holds significant clinical promise. In this study, we introduce a novel m

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Beth E. Scott,Rebecca Langton,Evelyn Philpott,James J. Waggittne learning. Various approaches, including memory replay, knowledge distillation, model regularization, and dynamic network expansion, have been proposed to address this issue. Thus far, dynamic network expansion methods have achieved state-of-the-art performance at the cost of incurring significant

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hypnogram