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Accelerating Stroke MRI With Diffusion Probabilistic Models Through Large-Scale Pre-Training and Target-Specific Fine-Tuning
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DOI：10.1002/mrm.70501.png)
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Abstract
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To develop a data-efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical stroke MRI when only limited fully-sampled data are available.
Keywords:
accelerated MRI
clinical translation
diffusion probabilistic models
pre-training and fine-tuning
stroke MRI
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