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Separation of water and fat signal in whole‐body gradient echo scans using convolutional neural networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jmri.21281openalex-snapshot
A single‐point dixon technique for fat‐suppressed fast 3D gradient‐echo imaging with a flexible echo time
inferredcites →https://doi.org/10.1002/jmri.21339openalex-snapshot
Principles of whole‐body continuously‐moving‐table MRI
inferredcites →https://doi.org/10.1002/jmri.21492openalex-snapshot
Dixon techniques for water and fat imaging
inferredcites →https://doi.org/10.1002/jmri.22580openalex-snapshot
Quantitative assessment of liver fat with magnetic resonance imaging and spectroscopy
inferredcites →https://doi.org/10.1002/jmri.26658openalex-snapshot
Water–fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network
inferredcites →https://doi.org/10.1002/mrm.21737openalex-snapshot
Multiecho water‐fat separation and simultaneous R estimation with multifrequency fat spectrum modeling
inferredcites →https://doi.org/10.1002/mrm.24657openalex-snapshot
Fat quantification using multiecho sequences with bipolar gradients: Investigation of accuracy and noise performance
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Learning a variational network for reconstruction of accelerated MRI data
inferredcites →https://doi.org/10.1002/mrm.27198openalex-snapshot
MR fingerprinting Deep RecOnstruction NEtwork (DRONE)
inferredcites →https://doi.org/10.1002/mrm.27550openalex-snapshot
Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI
inferredcites →https://doi.org/10.1002/nbm.1622openalex-snapshot
In vivo characterization of the liver fat 1H MR spectrum
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1016/j.ascom.2017.01.002openalex-snapshot
Radio frequency interference mitigation using deep convolutional neural networks
inferredcites →https://doi.org/10.1038/nature25988openalex-snapshot
Image reconstruction by domain-transform manifold learning
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/tsmc.1979.4310076openalex-snapshot
A Threshold Selection Method from Gray-Level Histograms
inferredcites →https://doi.org/10.1148/radiology.153.1.6089263openalex-snapshot
Simple proton spectroscopic imaging.
inferredcites →https://doi.org/10.1152/ajpendo.00064.2004openalex-snapshot
Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4740619openalex-extracted
Deep Complex Convolutional Network in Ad-Hoc Reconstruction of Fat and Water Maps Using Multi-Echo GRE in Magnetic Resonance Imaging
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Deep Learning Staging of Liver Iron Content From Multiecho MR Images
inferred← citeshttps://doi.org/10.1002/mp.70101openalex-snapshot
A robust MRI water‐fat separation algorithm based on field map and fat fraction map smoothness
inferred← citeshttps://doi.org/10.1002/mrm.28546openalex-snapshot
Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training
inferred← citeshttps://doi.org/10.1002/mrm.28586openalex-snapshot
Robust water–fat separation based on deep learning model exploring multi‐echo nature of mGRE
inferred← citeshttps://doi.org/10.1002/mrm.29172openalex-snapshot
Ultrafast water–fat separation using deep learning–based single‐shot MRI
inferred← citeshttps://doi.org/10.1002/mrm.29176openalex-snapshot
Subsecond accurate myelin water fraction reconstruction from FAST‐T2 data with 3D UNET
inferred← citeshttps://doi.org/10.1002/mrm.29307openalex-snapshot
Accelerating multi‐echo chemical shift encoded water–fat MRI using model‐guided deep learning
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Uncertainty‐aware physics‐driven deep learning network for free‐breathing liver fat and R2* quantification using self‐gated stack‐of‐radial MRI
inferred← citeshttps://doi.org/10.1002/mrm.29527openalex-snapshot
Personalized synthetic MR imaging with deep learning enhancements
inferred← citeshttps://doi.org/10.1002/mrm.29774openalex-snapshot
Reducing the ambiguity of field inhomogeneity and chemical shift effect for fat–water separation by field factor
inferred← citeshttps://doi.org/10.1002/mrm.29860openalex-snapshot
Comparative review of algorithms and methods for chemical‐shift‐encoded quantitative fat‐water imaging
inferred← citeshttps://doi.org/10.1002/mrm.30401openalex-snapshot
Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training
inferred← citeshttps://doi.org/10.1002/nbm.70216openalex-snapshot
HighRes‐Net: Physics‐Informed Deep Learning Framework for High‐Resolution Fat–Water Imaging
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Segmentation of CT-Scan Images Using UNet Network for Patients Diagnosed with COVID-19
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Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes
inferred← citeshttps://doi.org/10.1007/s00330-024-11164-xopenalex-snapshot
Unbiased and reproducible liver MRI-PDFF estimation using a scan protocol-informed deep learning method
inferred← citeshttps://doi.org/10.1007/s10334-025-01268-wopenalex-snapshot
Fat–water MRI separation using deep complex convolution network
inferred← citeshttps://doi.org/10.1007/s11440-022-01706-2openalex-snapshot
Ready-to-use deep-learning surrogate models for problems with spatially variable inputs and outputs
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Non-iterative and uncertainty-aware MRI-based liver fat estimation using an unsupervised deep learning method
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Validation of bone mineral density measurement using quantitative CBCT image based on deep learning
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Fast water/fat T 2 and PDFF mapping via multiple overlapping-echo detachment acquisition and deep learning reconstruction
inferred← citeshttps://doi.org/10.1093/mnras/stac3765openalex-snapshot
Prospects for future studies using deep imaging: analysis of individual Galactic cirrus filaments
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Image Processing and Machine Learning for Tumor Tissue Detection Using MRI Images in Bacteria Based Cancer Therapy
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U-Net based Semantic Segmentation for Touchless Fingerprint Technology: A Reflective Review
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Deep Learning-Based Parameter Mapping With Uncertainty Estimation For Fat Quantification Using Accelerated Free-Breathing Radial MRI
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Automatic Spine Ultrasound Segmentation for Scoliosis Visualization and Measurement
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Artifact-free fat-water separation in Dixon MRI using deep learning
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Survey on Cardiomegaly Detection with Enhanced X-Ray Using Deep Learning
inferred← citeshttps://doi.org/10.2463/mrms.rev.2021-0040openalex-snapshot
Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview
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Convolutional neural network with U-Net architecture to detect buildings in satellite imagery for statistical purposes
inferred← citeshttps://doi.org/10.3390/bioengineering9100579openalex-snapshot
Deep Learning-Based Water-Fat Separation from Dual-Echo Chemical Shift-Encoded Imaging
inferred← citeshttps://doi.org/10.3390/electronics11182829openalex-snapshot
Fat-Corrected Pancreatic R2* Relaxometry from Multi-Echo Gradient-Recalled Echo Sequence Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.4264/numa.84.5_209openalex-snapshot
Application of Convolutional Neural Networks for Periodontal Disease Diagnosis Program Development
inferred← citeshttps://doi.org/10.6084/m9.figshare.26560955openalex-snapshot
Additional file 1 of Artifact-free fat-water separation in Dixon MRI using deep learning
inferred← citeshttps://doi.org/10.6084/m9.figshare.26560958openalex-snapshot
Additional file 2 of Artifact-free fat-water separation in Dixon MRI using deep learning
inferred← citeshttps://doi.org/10.6084/m9.figshare.26560961openalex-snapshot
Additional file 3 of Artifact-free fat-water separation in Dixon MRI using deep learning
inferred← citeshttps://doi.org/10.6084/m9.figshare.26560964openalex-snapshot
Additional file 4 of Artifact-free fat-water separation in Dixon MRI using deep learning
inferred← citeshttps://doi.org/10.6084/m9.figshare.26560967openalex-snapshot
Additional file 5 of Artifact-free fat-water separation in Dixon MRI using deep learning
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