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Titlebook: Deep Generative Models; 4th MICCAI Workshop, Anirban Mukhopadhyay,Ilkay Oksuz,Yixuan Yuan Conference proceedings 2025 The Editor(s) (if app

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21#
發(fā)表于 2025-3-25 04:12:13 | 只看該作者
22#
發(fā)表于 2025-3-25 09:56:19 | 只看該作者
23#
發(fā)表于 2025-3-25 12:25:44 | 只看該作者
Fallbeispiele zu Rollenbildern,3D model performs best regarding the structural-similarity index, peak signal-to-noise ratio, and mean squared error. To emphasize the clinical relevance, we fine-tune this model on synthetic multiple sclerosis lesions and evaluate it on a downstream brain tissue segmentation task, where it outperforms the established . method.
24#
發(fā)表于 2025-3-25 15:53:26 | 只看該作者
25#
發(fā)表于 2025-3-25 21:56:42 | 只看該作者
Anwendungsfelder des Führens mit Zielened accuracy and precision in parameter estimation, along with superior visual performance. Moreover, our method inherently incorporates stochasticity, enabling straightforward quantification of uncertainty. Hence, the proposed method holds significant promise for quantitative MR mapping.
26#
發(fā)表于 2025-3-26 01:08:01 | 只看該作者
,Vorbildfunktion der Führungskraft, used metrics, such as SSIM, PSNR and MAE are not the best choice for all situations. We selected five pitfalls that showcase unexpected and probably undesired reference metric scores and discuss strategies to avoid them.
27#
發(fā)表于 2025-3-26 08:01:44 | 只看該作者
28#
發(fā)表于 2025-3-26 11:17:50 | 只看該作者
29#
發(fā)表于 2025-3-26 13:03:50 | 只看該作者
,Denoising Diffusion Models for?3D Healthy Brain Tissue Inpainting,3D model performs best regarding the structural-similarity index, peak signal-to-noise ratio, and mean squared error. To emphasize the clinical relevance, we fine-tune this model on synthetic multiple sclerosis lesions and evaluate it on a downstream brain tissue segmentation task, where it outperforms the established . method.
30#
發(fā)表于 2025-3-26 20:13:16 | 只看該作者
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