Titlebook: Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales fo; 1st International Wo John S. H. Baxte

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Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networksit is important to be able to predict if an UIA is likely to grow based on an initial baseline Time-of-Flight MRA (TOF-MRA). It is known that the size and shape of UIAs are predictors of aneurysm growth and/or rupture. We perform a feasibility study of using a mesh convolutional neural network for f

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TDA-Clustering Strategies for?the?Characterization of?Brain Organoidsategies to characterize the morphology of three developmental stages of segmented brain organoid images. We calculate a linear regression of the H1 feature diagrams as well as entropy, dispersion, and average persistence of H0 and H1 features separately for each developmental stage. We also compute

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/315950.jpg

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https://doi.org/10.1007/978-3-031-23223-7artificial intelligence; bioinformatics; classification methods; computer networks; computer systems; com