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DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
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10.1109/isbi45749.2020.9098491
◽
2020
◽
Author(s):
Sriprabha Ramanarayanan
◽
Balamurali Murugesan
◽
Keerthi Ram
◽
Mohanasankar Sivaprakasam
Keyword(s):
Neural Networks
◽
Image Reconstruction
◽
Convolutional Neural Networks
◽
Mr Image
◽
Mr Image Reconstruction
Download Full-text
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Complex Fully Convolutional Neural Networks for MR Image Reconstruction
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A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
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◽
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◽
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Neural Networks
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Image Reconstruction
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Convolutional Neural Networks
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Improved MR image reconstruction from sparsely sampled scans based on neural networks
Pattern Recognition Letters
◽
10.1016/s0167-8655(00)00097-0
◽
2001
◽
Vol 22
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◽
pp. 35-46
◽
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Neural Networks
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Composite MR image reconstruction and unaliasing for general trajectories using neural networks
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Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
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◽
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◽
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◽
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Projection-Based Cascaded U-Net Model for MR Image Reconstruction
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◽
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◽
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◽
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◽
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A Rapid Non-Linear Diffusion Compressed Sensing parallel MR Image Reconstruction
Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing
◽
10.1145/3293353.3293411
◽
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◽
Author(s):
Ajin Joy
◽
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◽
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◽
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◽
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◽
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◽
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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
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◽
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◽
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◽
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Matthew J. Muckley
◽
Bruno Riemenschneider
◽
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◽
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◽
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◽
...
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Machine Learning
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Exploiting Sparsity and Rank Deficiency for MR Image Reconstruction From Multiple Partial K-Space Scans
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◽
10.1109/cjece.2014.2348014
◽
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◽
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(4)
◽
pp. 228-235
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◽
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Keyword(s):
Image Reconstruction
◽
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◽
Rank Deficiency
◽
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Download Full-text
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