conscience
发表于 2025-3-25 04:03:54
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热烈的欢迎
发表于 2025-3-25 11:18:56
ers — those who literally stand between cultures and places — can therefore be seen either as agents of or as antagonists to the technologies of imperialism. Sometimes they assist and sometimes they confound the commercial aspirations of colonizing states. They can belong to what Paul Gilroy, follow
limber
发表于 2025-3-25 11:43:16
Semi-supervised and Task-Driven Data Augmentationvel task-driven data augmentation method where to synthesize new training examples, a generative network explicitly models and applies deformation fields and additive intensity masks on existing labelled data, modeling shape and intensity variations, respectively. Crucially, the generative model is
凶猛
发表于 2025-3-25 17:34:46
Analyzing Brain Morphology on the Bag-of-Features Manifold standard hard set equivalence (HSE) in predicting the immediate family graph structure and genetic links such as racial origin and sex from MRI data, providing a useful tool for data-driven, high-throughput genome wide heritability analysis.
Ptosis
发表于 2025-3-25 22:23:52
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愤怒历史
发表于 2025-3-26 02:49:24
Adaptive Graph Convolution Pooling for Brain Surface Analysisrecent advances in spectral graph alignment where the surface parameterization becomes common across multiple brain geometries. These novel adaptive intrinsic pooling layers enable the exploration of entirely new architectures of graph neural networks, which were previously constrained to one single
growth-factor
发表于 2025-3-26 04:43:32
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Landlocked
发表于 2025-3-26 08:43:52
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimagingthat the proposed wFM layer achieves a contraction mapping and hence the ManifoldNet need not have additional non-linear ReLU units used in standard CNNs to achieve a contraction mapping..Analogous to the equivariance of convolution in Euclidean space to translations, we prove that the wFM is equiva
thwart
发表于 2025-3-26 14:20:29
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同义联想法
发表于 2025-3-26 20:36:50
Limited Angle Tomography Reconstruction: Synthetic Reconstruction via Unsupervised Sinogram Adaptati sinogram-reconstruction pairs. Thus the requirement for real paired sinogram-reconstruction data can be alleviated if simulated sinograms (e.g. monochromatic) are able to train a reconstruction network for real sinograms (e.g. polychromatic source, scattering, beam hardening). In this paper, we pro