Cardiac
发表于 2025-3-28 18:15:01
Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Desng these unknowns, which has traditionally required model fitting - an often iterative procedure, can now be done with one-shot machine learning (ML) approaches. Such parameter estimation may be complicated by intrinsic qMRI signal model degeneracy: different combinations of tissue properties produc
Delectable
发表于 2025-3-28 19:07:48
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船员
发表于 2025-3-29 02:58:30
: A Harmonic Holography for Self-organized Brain Functionacterize spontaneous functional fluctuations, little attention has been paid to the functional mechanisms of neural interactions. Inspired by the notion of holography, we propose an explainable machine learning approach to establishing a novel underpinning of self-organized cross-frequency coupling
colostrum
发表于 2025-3-29 06:20:07
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RENAL
发表于 2025-3-29 11:08:28
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomicstivity data. Despite connectomes inhabiting a matrix manifold, most analytical frameworks ignore the underlying data geometry. This is largely because simple operations, such as mean estimation, do not have easily computable closed-form solutions. We propose a geometrically aware neural framework fo
设施
发表于 2025-3-29 12:58:48
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shifemorrhage. Existing computational methods on MLS quantification not only require intensive labeling in millimeter-level measurement but also suffer from poor performance due to their dependence on specific landmarks or simplified anatomical assumptions. In this paper, we propose a novel semi-supervi
Offbeat
发表于 2025-3-29 18:08:51
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抵消
发表于 2025-3-29 20:26:52
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Rebate
发表于 2025-3-30 01:20:16
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牛的细微差别
发表于 2025-3-30 06:15:15
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesomy of pancreatic lesions, i.e., normal, seven major types of lesions, and “other” lesions, is critical to aid the clinical decision-making of patient management and treatment. However, existing work focus on segmentation and classification for very specific lesion types (PDAC) or groups. Moreover,