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08/15/2023
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
Dynamic free-breathing fetal cardiac MRI is one of the most challenging ...
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10/29/2021
Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction
Magnetic resonance imaging of whole fetal body and placenta is limited b...
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09/25/2019
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction
We present simple reconstruction networks for multi-coil data by extendi...
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09/24/2019
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
AUTOMAP is a promising generalized reconstruction approach, however, it ...
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08/28/2019
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
Accurately estimating and correcting the motion artifacts are crucial fo...
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12/14/2018
Complex diffusion-weighted image estimation via matrix recovery under general noise models
We propose a patch-based singular value shrinkage method for diffusion m...
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12/05/2017
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
Accelerating the data acquisition of dynamic magnetic resonance imaging ...
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04/08/2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Inspired by recent advances in deep learning, we propose a framework for...
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03/01/2017
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
The acquisition of Magnetic Resonance Imaging (MRI) is inherently slow. ...
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11/22/2016
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
In this paper we present a novel method for the correction of motion art...
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05/25/2016
