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7,652 results
  • A dual-stream deep convolutional network for reducing metal streak artifacts in CT images. [Journal Article]
    Phys Med Biol 2019Gjesteby LA, Shan H, … Wang G
  • Machine learning and deep learning are rapidly finding applications in the medical imaging field. In this paper, we address the long-standing problem of metal artifacts in computed tomography (CT) images by training a dual-stream deep convolutional neural network for streak removal. While many metal artifact reduction methods exist, even state-of-the-art algorithms fall short in some clinical app…
  • Animal Movement Prediction Based on Predictive Recurrent Neural Network. [Journal Article]
    Sensors (Basel) 2019; 19(20)Rew J, Park S, … Hwang E
  • Observing animal movements enables us to understand animal behavior changes, such as migration, interaction, foraging, and nesting. Based on spatiotemporal changes in weather and season, animals instinctively change their position for foraging, nesting, or breeding. It is known that moving patterns are closely related to their traits. Analyzing and predicting animals' movement patterns according …
  • Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning. [Journal Article]
    Comput Intell Neurosci 2019; 2019:4970508Tan H, Xiao H, … Zhang M
  • In traditional image denoising, noise level is an important scalar parameter which decides how much the input noisy image should be smoothed. Existing noise estimation methods often assume that the noise level is constant at every pixel. However, real-world noise is signal dependent, or the noise level is not constant over the whole image. In this paper, we attempt to estimate the precise and pix…
  • Strategic room type allocation for nursing wards through Markov chain modeling. [Journal Article]
    Artif Intell Med 2019; 99:101705Andersen AR, Vancroonenburg W, Vanden Berghe G
  • Providing patients with the best possible care is the most essential function of any hospital. In an increasing number of countries, hospitals are governed by the number of patients they are able to attract and the corresponding services they provide for patients. One such service, which is often of significant importance for patients, is the option to choose their room type. Hospital decision ma…
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