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Found 6 papers, 1 papers with code
Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification
Magnetization transfer contrast magnetic resonance fingerprinting (MTC-MRF) is a novel quantitative imaging technique that simultaneously measures several tissue parameters of semisolid macromolecule and free bulk water.
Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
Therefore, without additional training, the trained network can solve new decap optimization problems.
Unsupervised Anomaly Detection in MR Images using Multi-Contrast Information
The feature is collaboratively used with another feature that is the low-dimensional representation of multi-contrast images.
Synthesis of Brain Tumor MR Images for Learning Data Augmentation
Deep neural networks are trained by learning data.
Attention Guided Metal Artifact Correction in MRI using Deep Neural Networks
In this paper, we observed that in a real MRI environment, two distorted images obtained with opposite polarities of readout gradient showed artifacts in a different region.
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