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Mathematics in Biomedical Imaging [PDF]
International Journal of Biomedical Imaging, 2007 L'imagerie biomédicale est d'une importance cruciale pour les sciences de la vie et les soins de santé. Dans ce domaine en rapide évolution, les mathématiques sont l'un des outils les plus puissants pour développer la reconstruction d'images ainsi que la théorie et les méthodes de traitement d'images.
Ming Jiang +6 more
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Special Issue – Mathematical Imaging [PDF]
Journal of Algorithms & Computational Technology, 2016 The multidisciplinary subject of Imaging Science concerning the generation, collection, duplication, analysis, modification, restoration, enhancement, comparison, feature extraction, and visualisation of images is developing in a rapid speed.
Chen, Ke, Lai, Choi Hong
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Modern Mathematics in Biomedical Imaging [PDF]
International Journal of Biomedical Imaging, 2011 Over the past decades, modern mathematics is playing an increasingly important role in the development of biomedical imaging, yielding groundbreaking ideas and powerful tools for clinical and preclinical applications. Nevertheless, there are not only growing obstacles between applied mathematicians and imaging engineers to communicate more effectively ...
Yangbo Ye +3 more
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Mathematical Methods in Biomedical Imaging [PDF]
Computational and Mathematical Methods in Medicine, 2013 Biomedical imaging is a rapidly growing field to provide a state-of-the-art tool for preclinical biomedical research and clinical applications, in view of its ability to noninvasively reveal subtle structural variations of biological tissues and visualize in vivo physiological and pathological processes at the cellular and molecular levels ...
Cong, Wenxiang +2 more
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On surface completion and image inpainting by biharmonic functions: Numerical aspects [PDF]
, 2018 Numerical experiments with smooth surface extension and image inpainting using harmonic and biharmonic functions are carried out. The boundary data used for constructing biharmonic functions are the values of the Laplacian and normal derivatives of the ...
Damelin, S. B., Hoang, N. S.
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The set of all the possible compromises of a multi-level multi-objective linear programming problem
Croatian Operational Research Review, 2022 In this paper, a new approach is developed to solve multi-level multi-objective linear programming problems (ML-MOLPP), by providing the set of all the compromises without taking into account the hierarchy of the problem.
Mustapha Kaci, Sonia Radjef
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Brain Relatively Inert Network: Taking Adult Attention Deficit Hyperactivity Disorder as an Example
Frontiers in Neuroscience, 2021 Resting-state functional MRI (rs-fMRI) has been increasingly applied in the research of brain cognitive science and psychiatric diseases. However, previous studies only focused on specific activation areas of the brain, and there are few studies on the ...
Hua Zhang +5 more
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A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images
Current Directions in Biomedical Engineering, 2017 Accurate optic disc (OD) segmentation and fovea detection in retinal fundus images are crucial for diagnosis in ophthalmology. We propose a robust and broadly applicable algorithm for automated, robust, reliable and consistent fovea detection based on OD
Rust Caterina +3 more
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Concept image and concept definition in mathematics with particular reference to limits and continuity [PDF]
, 1981 The concept image consists of all the cognitive structure in the individual's mind that is associated with a given concept. This may not be globally coherent and may have aspects which are quite different from the formal concept definition.
D. O. Tall +3 more
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Morphology for Image Processing. Part I [PDF]
, 2012 In this article we defined mathematical morphology image processing with set operations. First, we defined Minkowski set operations and proved their properties.
Beata Padlewska +12 more
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