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Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows
Brain aging is a widely studied longitudinal process throughout which the brain undergoes considerable morphological changes and various machine learning approaches have been proposed to analyze it.
Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks
A total of 291 multi-center clinical NCCT datasets were used: 204 for CNN training, 48 for validation and developing post-processing methods, and 39 for testing.
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