hexagon 发表于 2025-3-21 17:48:41

书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0629223<br><br>        <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2023读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0629223<br><br>        <br><br>

organism 发表于 2025-3-21 22:47:41

978-3-031-43989-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

树胶 发表于 2025-3-22 00:53:55

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conservative 发表于 2025-3-22 08:35:43

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Anticoagulants 发表于 2025-3-22 09:17:49

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Hypopnea 发表于 2025-3-22 14:24:51

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversariat our method outperforms existing methods in abnormality classification, segmentation, and localization tasks. Additionally, reconstructed normal mammograms can provide insights toward better interpretable visual cues for clinical diagnosis. The code will be accessible to the public.

边缘 发表于 2025-3-22 19:55:20

A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations enable solutions over longer time domains. We experimentally demonstrated the effectiveness of the presented PINN framework to obtain the complete forward and inverse EP solutions over the 3D bi-ventricular geometry, which is otherwise not possible with vanilla PINN frameworks.

SMART 发表于 2025-3-22 23:35:31

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Acetabulum 发表于 2025-3-23 02:13:32

Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignmenbi-directional transport to align the target features with class prototypes by minimizing its expected cost. On top of that, a contrastive learning stage is further devised to utilize those pixels with unreliable predictions for a more compact target feature distribution. Extensive experiments on a

Boycott 发表于 2025-3-23 07:06:13

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查看完整版本: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay