Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection-Reference-Cited by-同舟云学术

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Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection

Published:2021-05-11 Issue:8 Volume:34 Page:
ISSN:0952-3480
Container-title:NMR in Biomedicine
language:en
Short-container-title:NMR in Biomedicine

Author:

Liu Xinwen¹^ORCID,Wang Jing²,Lin Suzhen³⁴,Crozier Stuart¹,Liu Feng¹

Affiliation:

1. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia

2. School of Information and Communication Technology Griffith University Brisbane Australia

3. School of Data Science and Technology North University of China Taiyuan China

4. The Key Laboratory of Biomedical Imaging and Big Data Processing in Shanxi Province Shanxi China

Publisher

Wiley

Subject

Spectroscopy,Radiology, Nuclear Medicine and imaging,Molecular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nbm.4540

Reference48 articles.

1. Sparse MRI: The application of compressed sensing for rapid MR imaging

2. Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

3. Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI

4. Isotropic 3D Cartesian single breath‐hold CINE MRI with multi‐bin patch‐based low‐rank reconstruction

5. Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator

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1. Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning;Magnetic Resonance in Medicine;2024-04-16

2. Multi-Contrast MRI Reconstruction Based on Frequency Domain Separation and Cross-Self-Attention;IEEE Access;2024

3. Accelerating image reconstruction for multi-contrast MRI based on Y-Net3+;Journal of X-Ray Science and Technology;2023-07-13

4. Global attention‐enabled texture enhancement network for MR image reconstruction;Magnetic Resonance in Medicine;2023-06-29

5. Multimodal and multicontrast image fusion via deep generative models;Information Fusion;2022-12

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