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04/14/2020
End-to-End Variational Networks for Accelerated MRI Reconstruction
The slow acquisition speed of magnetic resonance imaging (MRI) has led t...
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01/06/2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Purpose: To advance research in the field of machine learning for MR ima...
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10/27/2019
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
Magnetic Resonance Image (MRI) acquisition is an inherently slow process...
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11/21/2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measuremen...
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11/19/2018
Simulating single-coil MRI from the responses of multiple coils
We convert the information-rich measurements of parallel and phased-arra...
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09/18/2018
Compressed sensing with a jackknife and a bootstrap
Compressed sensing proposes to reconstruct more degrees of freedom in a ...
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06/26/2016
Fast Incremental Learning for Off-Road Robot Navigation
A promising approach to autonomous driving is machine learning. In such ...
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10/20/2015
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
We present a method for extracting depth information from a rectified im...
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09/15/2014