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Lyu, Q., Wang, G.: Conversion between ct and mri images using diffusion and score-matching models. arXiv preprint arXiv:2209.12104 (2022) Ma, W., Sheng, B., Liu, Y., Qian, J., Liu, X., Li, J., Ouyang, D., Wang, H., Atanasov, A.G., Keane, P.A., et al.: Evolution...
Topologically associating domains (TADs) are critical structural units in three-dimensional genome organization of mammalian genome. Dynamic reorganizations of TADs between health and disease states are associated with essential genome functions. However
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Matrix factorization- based techniques reshape the 3D HSIs and MSIs into ma- trices, thus facing the challenge of learning the required relationship between space and spectrum. Although sev- 7083 eral tensor-based methods have been proposed that can maintain the 3D s...
We hypothesized that augmenting a standard autoencoder with a classification task, as with DiffNets, would reorganize the latent space to highlight relevant differences between datasets, even if they are subtle structurally. In order to test this hypothesis, we applied DiffNets and autoencoders to...
Simple linear regression analysis between the two methods revealed very good correlation for the morphologically normal spermatozoa (r = .83), but poor correlation for the sperm head, midpiece, and tail defects (r = .25, .25, and .28, respectively). Wet preparation is suitable only for the...
Finally, being unable to ventilate the lungs with facemask and bag is more uncommon still, now likely occurring 1-3 times per 10,000 attempts. lc. Preoperative assessment of the airway - predic- tion of difficult intubation Mallampati reported a correlation between the visibility of oropharyngeal...
To address these problems, we propose a new model, KanDiff, for hyperspectral and multispectral image fusion. To address the differences in modal information between multispectral and hyperspectral images, KANDiff incorporates Kolmogorov–Arnold Networks (KAN) to guide the inputs. It helps the model...
Pytorch implementation ofPolarized Self-Attention: Towards High-quality Pixel-wise Regression---arXiv 2021.07.02【论文解析】 Pytorch implementation ofContextual Transformer Networks for Visual Recognition---arXiv 2021.07.26【论文解析】 Pytorch implementation ofResidual Attention: A Simple but Effective Method...