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What you see is what you eat: An ALE meta-analysis of the neural correlates of food viewing in children and adolescents.

, , , , и . NeuroImage, (2015)

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Three-dimensional appearance for hippocampus segmentation from MRI., , , , и . Medical Imaging: Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)Error Metrics for Quantitative Evaluation of Medical Image Segmentation., , , и . Theoretical Foundations of Computer Vision, том 17 из Computational Imaging and Vision, стр. 275-284. Kluwer / Springer, (1998)Image fusion using geometrical features., , , и . VBC, том 1808 из SPIE Proceedings, SPIE, (1992)Probabilistic multiscale image segmentation: set-up and first results (Proceedings Only)., , и . VBC, том 1808 из SPIE Proceedings, SPIE, (1992)Blood pool agent contrast-enhanced MRA: level-set-based artery-vein separation., , , , и . Medical Imaging: Image Processing, том 4684 из SPIE Proceedings, SPIE, (2002)What you see is what you eat: An ALE meta-analysis of the neural correlates of food viewing in children and adolescents., , , , и . NeuroImage, (2015)Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT., , , , , , , , , и . Comput. Biol. Medicine, (2022)Topological Numbers and Singularities in Scalar Images: Scale-Space Evolution Properties., , , , и . J. Math. Imaging Vis., 9 (3): 253-269 (1998)Numerical Analysis of Geometry-Driven Diffusion Equations., , и . Geometry-Driven Diffusion in Computer Vision, том 1 из Computational Imaging and Vision, Springer, (1994)Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis., , , , , , , и . Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)