阻塞 发表于 2025-3-30 11:14:09

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crease 发表于 2025-3-30 15:20:00

fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics, propose to exploit the inherent spatial structure of the brain to improve the prediction performance of fMRI analysis. We do so in an exploratory fashion by representing the fMRI data by graphs. We use the Weisfeiler-Lehman algorithm to efficiently compute subtree features of the graphs. These feat

性上瘾 发表于 2025-3-30 20:08:22

Patch-Based Segmentation without Registration: Application to Knee MRI,spondence means that the segmentation results can be affected by any registration errors which occur, particularly if there is a high degree of anatomical variability. This paper presents a novel multi-resolution patch-based segmentation framework which is able to work on images without requiring re

Kidney-Failure 发表于 2025-3-30 20:47:32

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Virtues 发表于 2025-3-31 01:03:40

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杀菌剂 发表于 2025-3-31 08:24:02

Metric Space Structures for Computational Anatomy,air was measured using large deformation diffeomorphic metric mapping (LDDMM). Manifold learning approaches were applied to seek a low-dimensional embedding in the high- dimensional shape space, in which inference between healthy control and disease groups can be done using standard classification a

外科医生 发表于 2025-3-31 10:53:17

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使成核 发表于 2025-3-31 14:09:28

Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification,used by neural interactions that may happen within the scan duration. Multiple functional connectivity networks can be estimated from R-fMRI time series to effectively capture subtle yet short neural connectivity changes induced by disease pathologies. To effectively extract the temporally dynamic i

Exhilarate 发表于 2025-3-31 18:12:18

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引水渠 发表于 2025-3-31 22:27:08

978-3-319-02266-6Springer International Publishing Switzerland 2013
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查看完整版本: Titlebook: Machine Learning in Medical Imaging; 4th International Wo Guorong Wu,Daoqiang Zhang,Fei Wang Conference proceedings 2013 Springer Internati