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Development and validation of an automated MRI-based pipeline for temporal classification of intracerebral hemorrhage using U-Net segmentation and machine learning.
The proposed automated MRI-based pipeline showed feasible performance for ICH temporal classification and may support objective MRI-based assessment of hemorrhage stage and may support objective MRI-based assessment of hemorrhage stage.
Intra-vendor inter-scanner agreement of negative-HU measurements on fast kV-switching dual-energy CT virtual monoenergetic imaging: a phantom study
VMI shows predictable energy-dependent behavior for negative-HU materials, but inter-scanner bias increases for strongly negative values and low-dose conditions, and water-reference behavior can influence stability; scanner-aware interpretation and phantom-based harmonization are warranted for quantitative evaluation i...