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Attention During Natural Vision Warps Semantic Representation Across the Human Brain
Little is known about how attention changes the cortical representation of sensory information in humans. On the basis of neurophysiological evidence, we hypothesized that attention causes tuningExpand
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Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks
TLDR
We propose a new approach for multi-contrast MRI synthesis based on conditional generative adversarial networks that learns the conditional probability distribution of the target contrast given the source contrast. Expand
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Learning-Based Compressive MRI
TLDR
In the area of magnetic resonance imaging (MRI), we propose a learning-based framework for optimizing MRI subsampling patterns for a specific reconstruction rule and anatomy, considering both the noiseless and noisy settings. Expand
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Functional Subdomains within Human FFA
The fusiform face area (FFA) is a well-studied human brain region that shows strong activation for faces. In functional MRI studies, FFA is often assumed to be a homogeneous collection of voxels withExpand
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Semantic Structure and Interpretability of Word Embeddings
TLDR
Dense word embeddings are substantially successful in capturing semantic relations among words, so a meaningful semantic structure must be present in the respective vector spaces. Expand
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Improving non‐contrast‐enhanced steady‐state free precession angiography with compressed sensing
Flow‐independent angiography offers the ability to produce vessel images without contrast agents. Angiograms are acquired with magnetization‐prepared three‐dimensional balanced steady‐state freeExpand
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Hybrid prospective and retrospective head motion correction to mitigate cross‐calibration errors
TLDR
In the presence of cross‐calibration errors between the optical tracking device and the MR scanner, application of retrospective correction on prospectively corrected data significantly improves image quality. Expand
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Multiple‐profile homogeneous image combination: Application to phase‐cycled SSFP and multicoil imaging
TLDR
We propose a nonlinear combination to improve image‐based estimates of the individual weightings of multiple data sets with different weights. Expand
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Signal Compensation and Compressed Sensing for Magnetization-Prepared MR Angiography
TLDR
In this work, a new technique is proposed that first corrects the signal decay in high-frequency data to mitigate the resolution loss and improve the image contrast without reducing the scan efficiency. Expand
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mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis
TLDR
We propose a multi-stream approach that aggregates information across multiple source images via a mixture of multiple one-to-one streams and a joint many- to-one stream. Expand
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