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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 ...
Wenxiang Cong, Kumar Durairaj, Peng Feng
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Mathematical methods in medical image processing [PDF]
Bulletin of the American Mathematical Society, 2006 In this paper, we describe some central mathematical problems in medical imaging. The subject has been undergoing rapid changes driven by better hardware and software. Much of the software is based on novel methods utilizing geometric partial differential equations in conjunction with standard signal/image processing techniques as well as computer ...
Sigurd Angenent +2 more
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Enhancing the image of mathematics by association with simple pleasures from real world contexts
, 2006 Robyn Pierce, Kaye Stacey
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The Popular Image of Mathematics [PDF]
Humanistic Mathematics Network Journal, 1993 Ernest, Paul
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NON-LINEAR MULTI-FRAME IMAGE DENOISING USING WEIGHTED NUCLEAR NORM MINIMIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 We address the problem of constructing single low noise image from a sequence of multiple noisy images. We use the approach based on finding and averaging similar blocks in the image and extend it to multiple images.
A. V. Nasonov +2 more
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CNN-BASED UNSUPERVISED REGISTRATION OF TIME-LAPSE MICROSCOPY IMAGE SEQUENCES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Image registration is widely used in live cell microscopy image analysis to compensate for the cell motion. It is a challenging task as the cell is not only moving (which causes rotation and translation), but also changes its form in time making the ...
N. A. Anoshina, D. V. Sorokin
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HUMAN IMAGE MATTING BASED ON CONVOLUTIONAL NEURAL NETWORK AND PRINCIPAL CURVATURES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Image matting often requires advanced image processing, especially in conditions, when small details such as hair are present in the image. In this article the hybrid method for human image matting based on convolutional neural network and principal ...
T. B. Sagindykov, E. A. Pavelyeva
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Quantum State Assignment Flows
Entropy, 2023 This paper introduces assignment flows for density matrices as state spaces for representation and analysis of data associated with vertices of an underlying weighted graph.
Jonathan Schwarz +5 more
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Chaos-Based Image Encryption: Review, Application, and Challenges
Mathematics, 2023 Chaos has been one of the most effective cryptographic sources since it was first used in image-encryption algorithms. This paper closely examines the development process of chaos-based image-encryption algorithms from various angles, including symmetric
Bowen Zhang, Lingfeng Liu
semanticscholar +1 more source