Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction
出版年份 2021 全文链接
标题
Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction
作者
关键词
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出版物
Scientific Reports
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-04-15
DOI
10.1038/s41598-021-87482-7
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets
- (2020) Zaccharie Ramzi et al. Applied Sciences-Basel
- On instabilities of deep learning in image reconstruction and the potential costs of AI
- (2020) Vegard Antun et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Low-field magnetic resonance imaging of roots in intact clayey and silty soils
- (2020) G. Cody Bagnall et al. GEODERMA
- Deep learning on image denoising: An overview
- (2020) Chunwei Tian et al. NEURAL NETWORKS
- High-sensitivity in vivo contrast for ultra-low field magnetic resonance imaging using superparamagnetic iron oxide nanoparticles
- (2020) David E. J. Waddington et al. Science Advances
- Assessment of Brain Injury Using Portable, Low-Field Magnetic Resonance Imaging at the Bedside of Critically Ill Patients
- (2020) Kevin N. Sheth et al. JAMA Neurology
- Low-field MRI: An MR physics perspective
- (2019) José P. Marques et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
- (2019) Saiprasad Ravishankar et al. PROCEEDINGS OF THE IEEE
- Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
- (2018) Alice Lucas et al. IEEE SIGNAL PROCESSING MAGAZINE
- Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network
- (2018) Dongsheng Jiang et al. JAPANESE JOURNAL OF RADIOLOGY
- KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images
- (2018) Taejoon Eo et al. MAGNETIC RESONANCE IN MEDICINE
- Design of a sustainable prepolarizing magnetic resonance imaging system for infant hydrocephalus
- (2018) Johnes Obungoloch et al. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
- Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network
- (2018) Dongsheng Jiang et al. Japanese Journal of Radiology
- Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
- (2018) IEEE TRANSACTIONS ON MEDICAL IMAGING
- Image reconstruction by domain-transform manifold learning
- (2018) Bo Zhu et al. NATURE
- Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks
- (2018) Feiyu Chen et al. RADIOLOGY
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- (2017) Kyong Hwan Jin et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- (2017) Kai Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
- (2017) Yunjin Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Learning a variational network for reconstruction of accelerated MRI data
- (2017) Kerstin Hammernik et al. MAGNETIC RESONANCE IN MEDICINE
- Non-invasive imaging of plant roots in different soils using magnetic resonance imaging (MRI)
- (2017) Daniel Pflugfelder et al. Plant Methods
- MRI artifact correction using sparse + low-rank decomposition of annihilating filter-based hankel matrix
- (2016) Kyong Hwan Jin et al. MAGNETIC RESONANCE IN MEDICINE
- MGH–USC Human Connectome Project datasets with ultra-high b-value diffusion MRI
- (2016) Qiuyun Fan et al. NEUROIMAGE
- Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images
- (2015) Adrienne E. Campbell-Washburn et al. MAGNETIC RESONANCE IN MEDICINE
- Low-Cost High-Performance MRI
- (2015) Mathieu Sarracanie et al. Scientific Reports
- Two-dimensional imaging in a lightweight portable MRI scanner without gradient coils
- (2014) Clarissa Zimmerman Cooley et al. MAGNETIC RESONANCE IN MEDICINE
- Modelling root–soil interactions using three–dimensional models of root growth, architecture and function
- (2013) Vanessa M. Dunbabin et al. PLANT AND SOIL
- VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis
- (2010) Ghassan Hamarneh et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Availability and Quality of Computed Tomography and Magnetic Resonance Imaging Equipment in U.S. Emergency Departments
- (2008) Adit A. Ginde et al. ACADEMIC EMERGENCY MEDICINE
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