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Titlebook: Simulation and Synthesis in Medical Imaging; 6th International Wo David Svoboda,Ninon Burgos,Can Zhao Conference proceedings 2021 Springer

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發(fā)表于 2025-3-30 10:23:21 | 只看該作者
Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT ImaHR images. To perform SR of a given LR image, we input the content code and a latent variable simultaneously into the SR network to obtain an SR result. In the second step, using the trained SR network and an LR image, we search for a content code, and a style code for generating the most proper SR
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發(fā)表于 2025-3-30 13:01:15 | 只看該作者
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發(fā)表于 2025-3-30 17:14:31 | 只看該作者
Learning-Based Template Synthesis for?Groupwise Image Registrationrm. We compare our method with three baseline methods on 2D and 3D brain MR images in the experiments. We evaluate the performance using metrics corresponding to accuracy, smoothness, and unbiasedness. Results illustrate that our method outperforms the baseline methods and can achieve the overall st
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發(fā)表于 2025-3-30 22:35:04 | 只看該作者
X-ray Synthesis Based on Triangular Mesh Models Using GPU-Accelerated Ray Tracing for Multi-modal Br the GPU in about 0.76?s on NVidia RTX 2070 Super GPU. Calculation duration of an interactive application without the transfer overhead allows real time application with more than 30 frames per second (fps) even for very large polygon models. The presented method is able to calculate synthetic X-ray
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發(fā)表于 2025-3-31 02:22:50 | 只看該作者
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