Multiview 2D/3D image registration in minimally invasive pelvic surgery navigation. [PDF]
Ju F, Wang Y, Zhao J, Dong M.
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ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin +6 more
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Research on the influence of personalized principles in AR educational resources on the learning effectiveness of college students. [PDF]
Zeng J, Fan D, Hu H, Huang G, Zhang H.
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Preserving and enhancing cultural heritage through art design using feature pyramid network optimized by modified builder optimization algorithm. [PDF]
Fu X, Razmjooy N.
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Real-Time Parking Space Detection Based on Deep Learning and Panoramic Images. [PDF]
Wei W +5 more
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Self-supervised stain normalization empowers privacy-preserving and model generalization in digital pathology. [PDF]
Wang J +7 more
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Structure-Preserving Histopathological Stain Normalization via Attention-Guided Residual Learning. [PDF]
Madusanka N +3 more
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The use of deep learning and artificial intelligence-based digital technologies in art education. [PDF]
Liu Y, Zhu C.
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Aesthetic-Aware Image Style Transfer
Proceedings of the 28th ACM International Conference on Multimedia, 2020Style transfer aims to synthesize an image which inherits the content of one image while preserving a similar style of the other one. The "style'' of an image usually refers to its unique feeling conveyed from visual features, which is highly related to the aesthetic effect of the image.
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Saliency-Guided Image Style Transfer
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019In this paper, we propose an automatic saliency-guide style transfer method, which deploys style transfer to the salient object in an image. Our method can generate a new artwork form of image, which aggregates the characteristics of real-world images and artistic images.
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