Application of Sparse-Coding Super-Resolution to 16-Bit DICOM Images for Improving the Image Resolution in MRI

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ISSN Print: 2164-2788
ISSN Online: 2164-2796
www.scirp.org/journal/ojmi
E-mail: ojmi@scirp.org

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"Application of Sparse-Coding Super-Resolution to 16-Bit DICOM Images for Improving the Image Resolution in MRI"
written by Junko Ota, Kensuke Umehara, Naoki Ishimaru, Takayuki Ishida,
published by Open Journal of Medical Imaging, Vol.7 No.4, 2017

has been cited by the following article(s):

[1]	Prostate Lesion Detection on Apparent Diffusion Coefficient MRI based on Convolutional Neural Networks
	2021

[2]	Super-resolution of Intravoxel Incoherent Motion Imaging based on Multi-similarity
	2020

[3]	Super‐resolution musculoskeletal MRI using deep learning
	Magnetic resonance in medicine, 2018

[1]	Super-Resolution of Intravoxel Incoherent Motion Imaging Based on Multisimilarity IEEE Sensors Journal, 2020 DOI:10.1109/JSEN.2020.2993873

[2]	Super‐resolution musculoskeletal MRI using deep learning Magnetic Resonance in Medicine, 2018 DOI:10.1002/mrm.27178

[3]	Super-resolution musculoskeletal MRI using deep learning Magnetic Resonance in Medicine, 2018 DOI:10.1002/mrm.27178

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