Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI-Reference-Cited by-同舟云学术

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Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI

Published:2024-01 Issue: Volume:105 Page:82-91
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Kim Dong Kyun,Lee So-Yeon,Lee Jinyoung,Huh Yeon Jong,Lee Seungeun,Lee Sungwon,Jung Joon-Yong,Lee Hyun-Soo,Benkert Thomas,Park Sung-Hong

Funder

Department of Radiology, Weill Cornell Medical College

College of Medicine, Catholic University of Korea

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference35 articles.

1. Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond;Hagmann;Radiographics,2006

2. Diffusion-weighted magnetic resonance imaging of spine;Yoon;Taehan Yongsang Uihakhoe Chi,2020

3. Diffusion weighted imaging: technique and applications;Baliyan;World J Radiol,2016

4. Oncologic applications of diffusion-weighted MRI in the body;Bonekamp;J Magn Reson Imaging,2012

5. Predicting and monitoring cancer treatment response with diffusion-weighted MRI;Thoeny;J Magn Reson Imaging,2010

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of Artificial Intelligence and Machine Learning in Spine MRI;Bioengineering;2024-09-05

2. Present and future of whole-body MRI in metastatic disease and myeloma: how and why you will do it;Skeletal Radiology;2024-07-15

3. Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning–Based Image Reconstruction: Impact on Image Quality and Lesion Detection;Journal of Computer Assisted Tomography;2024-05-06

4. Enhance Super-Resolution Reconstruction of Generative Adversarial Networks with Duel Attention Mechanisms;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

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