没花的是打扰
发表于 2025-3-30 08:49:18
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光明正大
发表于 2025-3-30 14:15:35
Deep Learning Based Image Reconstruction for Diffuse Optical Tomography and affordable way. Image reconstruction is an ill-posed challenging task because knowledge of the exact analytic inverse transform does not exist a priori, especially in the presence of sensor non-idealities and noise. Standard reconstruction approaches involve approximating the inverse function a
表脸
发表于 2025-3-30 17:56:04
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无瑕疵
发表于 2025-3-30 21:17:53
Towards Arbitrary Noise Augmentation—Deep Learning for Sampling from Arbitrary Probability Distributng techniques, the noise distribution of a novel sensor may be difficult to determine a priori. Therefore, we propose learning arbitrary noise distributions. To do so, this paper proposes a fully connected neural network model to map samples from a uniform distribution to samples of any explicitly k
Confidential
发表于 2025-3-31 04:06:16
Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networkse a method to reconstruct the shape of the left atria during the electrophysiology procedure from a series of simple catheter maneuvers. We use left atria shapes generated from a statistical based physical model and approximate traversal locations of catheter maneuvers inside the left atria. These p
modish
发表于 2025-3-31 08:37:58
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