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A Review of Methods for Correction of Intensity Inhomogeneity in MRI
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A fast model independent method for automatic correction of intensity nonuniformity in MRI data
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SENSE: Sensitivity encoding for fast MRI
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Rapid and effective correction of RF inhomogeneity for high field magnetic resonance imaging
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Method for bias field correction of brain T1‐weighted magnetic resonance images minimizing segmentation error
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Improved high resolution MR imaging for surface coils using automated intensity non‐uniformity correction: Feasibility study in the orbit
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Radio frequency magnetic field mapping of a 3 Tesla birdcage coil: Experimental and theoretical dependence on sample properties
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Sources of intensity nonuniformity in spin echo images at 1.5 T
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Effect of Radio Frequency Inhomogeneity Correction on the Reproducibility of Intra‐Cranial Volumes Using MR Image Data
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3D MDEFT imaging of the human brain at 4.7 T with reduced sensitivity to radiofrequency inhomogeneity
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Electromagnetic perspective on the operation of RF coils at 1.5–11.7 Tesla
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Voxel-Based Morphometry—The Methods
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Magnetic Resonance Image Tissue Classification Using a Partial Volume Model
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Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity Effects
inferredcites →https://doi.org/10.1007/11505730_50openalex-snapshot
Coil Sensitivity Estimation for Optimal SNR Reconstruction and Intensity Inhomogeneity Correction in Phased Array MR Imaging
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Exploiting Voxel Correlation for Automated MRI Bias Field Correction by Conditional Entropy Minimization
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Maximum Likelihood Estimation of the Bias Field in MR Brain Images: Investigating Different Modelings of the Imaging Process
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Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model
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RF Inhomogeneity Correction Algorithm in Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1007/978-3-540-39903-2_132openalex-snapshot
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
inferredcites →https://doi.org/10.1007/978-3-540-40899-4_38openalex-snapshot
Retrospective Correction of MR Intensity Inhomogeneity by Information Minimization
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A Unified Variational Approach to Denoising and Bias Correction in MR
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A method of RF inhomogeneity correction in MR imaging
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Compensation of spatial inhomogeneity in MRI based on a parametric bias estimate
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An algorithm for compensation of surface-coil images for sensitivity of the surface coil
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Compensation for surface coil sensitivity variation in magnetic resonance imaging
inferredcites →https://doi.org/10.1016/0730-725x(93)90023-7openalex-snapshot
Correction of intensity nonuniformity in MR images of any orientation
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The image processing handbook
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Ignorance, myopia, and naiveté in computer vision systems
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MRI intensity nonuniformity correction using simultaneously spatial and gray-level histogram information
inferredcites →https://doi.org/10.1016/j.jmr.2004.09.027openalex-snapshot
The SIMRI project: a versatile and interactive MRI simulator
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Intensity non-uniformity correction in MRI: Existing methods and their validation
inferredcites →https://doi.org/10.1016/j.mri.2004.01.062openalex-snapshot
Measurement and automatic correction of high-order B0 inhomogeneity in the rat brain at 11.7 Tesla
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Correction of differential intensity inhomogeneity in longitudinal MR images
inferredcites →https://doi.org/10.1016/j.neuroimage.2004.07.016openalex-snapshot
Sequence-independent segmentation of magnetic resonance images
inferredcites →https://doi.org/10.1016/j.neuroimage.2005.02.018openalex-snapshot
Unified segmentation
inferredcites →https://doi.org/10.1016/j.neuroimage.2006.03.020openalex-snapshot
Intensity inhomogeneity correction of multispectral MR images
inferredcites →https://doi.org/10.1016/s0165-0270(02)00273-xopenalex-snapshot
Automated segmentation of multispectral brain MR images
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An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
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Segmentation of MR images with intensity inhomogeneities
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Abdominal imaging at 4 T MR system: a preliminary result
inferredcites →https://doi.org/10.1016/s0730-725x(02)00502-7openalex-snapshot
Correction of intensity nonuniformity in spin-echo T 1 -weighted images
inferredcites →https://doi.org/10.1016/s0730-725x(02)00637-9openalex-snapshot
A dual image approach for bias field correction in magnetic resonance imaging
inferredcites →https://doi.org/10.1016/s0730-725x(97)00177-xopenalex-snapshot
Image feature based automatic correction of low-frequency spatial intensity variations in MR images
inferredcites →https://doi.org/10.1016/s0895-6111(01)00006-4openalex-snapshot
A method of radio-frequency inhomogeneity correction for brain tissue segmentation in MRI
inferredcites →https://doi.org/10.1016/s1053-8119(03)00006-5openalex-snapshot
Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images
inferredcites →https://doi.org/10.1016/s1361-8415(99)80033-4openalex-snapshot
A new variational shape-from-orientation approach to correcting intensity inhomogeneities in magnetic resonance images
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Retrospective shading correction based on entropy minimization
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Comparative evaluation of retrospective shading correction methods
inferredcites →https://doi.org/10.1088/0031-9155/49/17/020openalex-snapshot
MRI intensity inhomogeneity correction by combining intensity and spatial information
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The Image Processing Handbook, 2nd Ed
inferredcites →https://doi.org/10.1109/42.232267openalex-snapshot
Polynomial modeling and reduction of RF body coil spatial inhomogeneity in MRI
inferredcites →https://doi.org/10.1109/42.251128openalex-snapshot
Correction of intensity variations in MR images for computer-aided tissue classification
inferredcites →https://doi.org/10.1109/42.370400openalex-snapshot
Retrospective correction of intensity inhomogeneities in MRI
inferredcites →https://doi.org/10.1109/42.491417openalex-snapshot
Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI
inferredcites →https://doi.org/10.1109/42.563663openalex-snapshot
Statistical approach to segmentation of single-channel cerebral MR images
inferredcites →https://doi.org/10.1109/42.585758openalex-snapshot
Estimating the bias field of MR images
inferredcites →https://doi.org/10.1109/42.668698openalex-snapshot
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
inferredcites →https://doi.org/10.1109/42.700729openalex-snapshot
Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction
inferredcites →https://doi.org/10.1109/42.712125openalex-snapshot
Maximum-likelihood estimation of Rician distribution parameters
inferredcites →https://doi.org/10.1109/42.712135openalex-snapshot
Design and construction of a realistic digital brain phantom
inferredcites →https://doi.org/10.1109/42.730409openalex-snapshot
Standing-wave and RF penetration artifacts caused by elliptic geometry: an electrodynamic analysis of MRI
inferredcites →https://doi.org/10.1109/42.802752openalex-snapshot
Adaptive fuzzy segmentation of magnetic resonance images
inferredcites →https://doi.org/10.1109/42.811268openalex-snapshot
Automated model-based bias field correction of MR images of the brain
inferredcites →https://doi.org/10.1109/42.811270openalex-snapshot
Automated model-based tissue classification of MR images of the brain
inferredcites →https://doi.org/10.1109/42.845174openalex-snapshot
Parametric estimate of intensity inhomogeneities applied to MRI
inferredcites →https://doi.org/10.1109/42.906424openalex-snapshot
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
inferredcites →https://doi.org/10.1109/42.938237openalex-snapshot
Automated segmentation of multiple sclerosis lesions by model outlier detection
inferredcites →https://doi.org/10.1109/42.974934openalex-snapshot
Retrospective correction of MR intensity inhomogeneity by information minimization
inferredcites →https://doi.org/10.1109/42.996338openalex-snapshot
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
inferredcites →https://doi.org/10.1109/9780470545652openalex-snapshot
Principles of Magnetic Resonance Imaging
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Alignment by maximization of mutual information
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Inhomogeneity correction of magnetic resonance images by minimization of intensity overlapping
inferredcites →https://doi.org/10.1109/mmbia.2000.852374openalex-snapshot
Entropy minimization for automatic correction of intensity nonuniformity
inferredcites →https://doi.org/10.1109/tbme.2005.847564openalex-snapshot
Design and Performance Issues of RF Coils Utilized in Ultra High Field MRI: Experimental and Numerical Evaluations
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A simple simultaneous geometric and intensity correction method for echo-planar imaging by EPI-based phase modulation
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An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation
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Accurate Template-Based Correction of Brain MRI Intensity Distortion With Application to Dementia and Aging
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Correction of bias field in MR images using singularity function analysis
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Scale-based method for correcting background intensity variation in acquired images
inferredcites →https://doi.org/10.1117/12.467120openalex-snapshot
Segmentation-based retrospective correction of intensity nonuniformity in multispectral MR images
inferredcites →https://doi.org/10.1117/12.467181openalex-snapshot
Nonparametric segmentation of multispectral MR images incorporating spatial and intensity information
inferredcites →https://doi.org/10.1117/12.483555openalex-snapshot
Interaction between noise suppression and inhomogeneity correction in MRI
inferredcites →https://doi.org/10.1118/1.1944912openalex-snapshot
Partial volume segmentation of brain magnetic resonance images based on maximuma posterioriprobability
inferredcites →https://doi.org/10.1118/1.595967openalex-snapshot
Phase and sensitivity of receiver coils in magnetic resonance imaging
inferredcites →https://doi.org/10.1118/1.596255openalex-snapshot
Correction for intensity falloff in surface coil magnetic resonance imaging
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Review of MR image segmentation techniques using pattern recognition
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Review and evaluation of MRI nonuniformity corrections for brain tumor response measurements
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Image non-uniformity in magnetic resonance imaging: its magnitude and methods for its correction
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Intensity correction in surface-coil MR imaging
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A variational level set segmentation formulation based on signal model for images in the presence of intensity inhomogeneity
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Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI
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Accurate segmentation of subcutaneous and intermuscular adipose tissue from MR images of the thigh
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Effects of gradient non‐linearity correction and intensity non‐uniformity correction in longitudinal studies using structural image evaluation using normalization of atrophy (SIENA)
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Left–Right Intensity Asymmetries Vary Depending on Scanner Model for FLAIR and T1 Weighted MRI Images
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A Preliminary Study of High-Field MRI Image Enhancement Techniques Applied to Low-Field MR Brain Images
inferred← citeshttps://doi.org/10.1007/978-3-540-85990-1_130openalex-snapshot
A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity
inferred← citeshttps://doi.org/10.1007/978-3-540-87559-8_55openalex-snapshot
Multi-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-642-02498-6_24openalex-snapshot
MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework
inferred← citeshttps://doi.org/10.1007/978-3-642-02504-4_17openalex-snapshot
3D Volume Reconstruction and Biometric Analysis of Fetal Brain from MR Images
inferred← citeshttps://doi.org/10.1007/978-3-642-03882-2_284openalex-snapshot
Joint Histogram-Based Intensity Standardization of Diffusion-Weighted MRI Images
inferred← citeshttps://doi.org/10.1007/978-3-642-04020-7_72openalex-snapshot
A Level Set Based Segmentation Method for Images with Intensity Inhomogeneity
inferred← citeshttps://doi.org/10.1007/978-3-642-04271-3_103openalex-snapshot
Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images
inferred← citeshttps://doi.org/10.1007/978-3-642-04271-3_68openalex-snapshot
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
inferred← citeshttps://doi.org/10.1007/978-3-642-12307-8_27openalex-snapshot
Level Set Segmentation Based on Local Gaussian Distribution Fitting
inferred← citeshttps://doi.org/10.1007/978-3-642-15699-1_1openalex-snapshot
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method
inferred← citeshttps://doi.org/10.1007/978-3-642-23321-0_71openalex-snapshot
Improved Algorithm of LED Display Image Based on Composed Correction
inferred← citeshttps://doi.org/10.1007/978-3-642-25085-9_37openalex-snapshot
An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models
inferred← citeshttps://doi.org/10.1007/978-3-642-25085-9_5openalex-snapshot
Thermal Noise Estimation and Removal in MRI: A Noise Cancellation Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-32378-2_11openalex-snapshot
Feedback-Driven Design of Normalization Techniques for Biological Images Using Fuzzy Formulation of a Priori Knowledge
inferred← citeshttps://doi.org/10.1007/978-3-642-33506-8_48openalex-snapshot
Brain MR Image Segmentation and Bias Field Correction through Class-K HMRF Model and EM Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-38628-2_80openalex-snapshot
Fast Implementations of the Levelset Segmentation Method With Bias Field Correction in MR Images: Full Domain and Mask-Based Versions
inferred← citeshttps://doi.org/10.1007/978-3-642-38628-2_93openalex-snapshot
A Supervised Approach for Multiple Sclerosis Lesion Segmentation Using Context Features and an Outlier Map
inferred← citeshttps://doi.org/10.1007/978-3-642-39094-4_51openalex-snapshot
Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images
inferred← citeshttps://doi.org/10.1007/978-3-642-39479-9_61openalex-snapshot
A Novel Multi-Scale Local Region Model for Segmenting Image with Intensity Inhomogeneity
inferred← citeshttps://doi.org/10.1007/978-3-658-29267-6_3openalex-snapshot
Retrospective Color Shading Correction for Endoscopic Images
inferred← citeshttps://doi.org/10.1007/978-3-662-45261-5_20openalex-snapshot
Image Segmentation Using Multiphase Curve Evolution Based on Level Set
inferred← citeshttps://doi.org/10.1007/978-981-10-7302-1_41openalex-snapshot
Local Features Based Level Set Method for Segmentation of Images with Intensity Inhomogeneity
inferred← citeshttps://doi.org/10.1007/978-981-13-1217-5_39openalex-snapshot
A Novel Approach of Optic Disk Detection for Diagnosis of Diabetic Retinopathy
inferred← citeshttps://doi.org/10.1007/978-981-13-1477-3_16openalex-snapshot
A View on Atlas-Based Neonatal Brain MRI Segmentation
inferred← citeshttps://doi.org/10.1007/978-981-15-6321-8_16openalex-snapshot
Deep Learning for Magnetic Resonance Images of Gliomas
inferred← citeshttps://doi.org/10.1007/978-981-16-1086-8_24openalex-snapshot
A Nonlocal Spatial Coherent Fuzzy C-Means Clustering for Bias Field Correction in Brain MR Images
inferred← citeshttps://doi.org/10.1007/978-981-16-2709-5_20openalex-snapshot
Prior Information Guided Fuzzy Clustering with Spatial Neighborhood Information for MRI Image Segmentation
inferred← citeshttps://doi.org/10.1007/978-981-19-1352-5_12openalex-snapshot
Machine Learning Approach in Brain Imaging
inferred← citeshttps://doi.org/10.1007/978-981-97-2671-4_20openalex-snapshot
IoT-Based Health Monitoring System for Post-Covid with Diabetes
inferred← citeshttps://doi.org/10.1007/s00138-011-0373-5openalex-snapshot
Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation
inferred← citeshttps://doi.org/10.1007/s00138-013-0546-5openalex-snapshot
A nonlocal energy minimization approach to brain image segmentation with simultaneous bias field estimation and denoising
inferred← citeshttps://doi.org/10.1007/s00138-016-0805-3openalex-snapshot
A novel active contour model for image segmentation using local and global region-based information
inferred← citeshttps://doi.org/10.1007/s00234-010-0715-4openalex-snapshot
Computational analysis of cerebral cortex
inferred← citeshttps://doi.org/10.1007/s00234-013-1193-2openalex-snapshot
Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra provides reduced effect of scanner for cortex volumetry with atlas-based method in healthy subjects
inferred← citeshttps://doi.org/10.1007/s00247-012-2427-xopenalex-snapshot
Diffusion MRI of the neonate brain: acquisition, processing and analysis techniques
inferred← citeshttps://doi.org/10.1007/s00247-021-05064-1openalex-snapshot
Brain fetal magnetic resonance imaging to evaluate maturation of normal white matter during the third trimester of pregnancy
inferred← citeshttps://doi.org/10.1007/s00259-019-04414-4openalex-snapshot
AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics
inferred← citeshttps://doi.org/10.1007/s00261-015-0475-zopenalex-snapshot
A novel semi-automatic segmentation method for volumetric assessment of the colon based on magnetic resonance imaging
inferred← citeshttps://doi.org/10.1007/s00415-009-5108-4openalex-snapshot
Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review
inferred← citeshttps://doi.org/10.1007/s00415-019-09509-4openalex-snapshot
MRI quality control for the Italian Neuroimaging Network Initiative: moving towards big data in multiple sclerosis
inferred← citeshttps://doi.org/10.1007/s00500-019-04169-yopenalex-snapshot
Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation
inferred← citeshttps://doi.org/10.1007/s00500-022-07269-4openalex-snapshot
Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation
inferred← citeshttps://doi.org/10.1007/s00521-024-10749-3openalex-snapshot
Intensity inhomogeneity correction in brain MRI: a systematic review of techniques, current trends and future challenges
inferred← citeshttps://doi.org/10.1007/s00530-024-01487-6openalex-snapshot
Efficient variational segmentation with local intensity fitting for noisy and inhomogeneous images
inferred← citeshttps://doi.org/10.1007/s00723-013-0477-3openalex-snapshot
Transmit-Only/Receive-Only Radiofrequency System for Hyperpolarized 13C MRS Cardiac Metabolism Studies in Pigs
inferred← citeshttps://doi.org/10.1007/s00723-015-0696-xopenalex-snapshot
Improved Correction of Residual Intensity Nonuniformity in 2D FLAIR MR Images of Brain at 3-T MRI scanner
inferred← citeshttps://doi.org/10.1007/s10278-017-0048-5openalex-snapshot
Application of Color Transformation Techniques in Pediatric Spinal Cord MR Images: Typically Developing and Spinal Cord Injury Population
inferred← citeshttps://doi.org/10.1007/s10278-017-9983-4openalex-snapshot
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
inferred← citeshttps://doi.org/10.1007/s10334-014-0478-8openalex-snapshot
Incorporation of image data from a previous examination in 3D serial MR imaging
inferred← citeshttps://doi.org/10.1007/s10334-015-0520-5openalex-snapshot
Principles and methods for automatic and semi-automatic tissue segmentation in MRI data
inferred← citeshttps://doi.org/10.1007/s10334-016-0588-6openalex-snapshot
Comparison of T1-weighted 2D TSE, 3D SPGR, and two-point 3D Dixon MRI for automated segmentation of visceral adipose tissue at 3 Tesla
inferred← citeshttps://doi.org/10.1007/s10462-010-9155-0openalex-snapshot
Review of brain MRI image segmentation methods
inferred← citeshttps://doi.org/10.1007/s10462-010-9169-7openalex-snapshot
A new method for MR grayscale inhomogeneity correction
inferred← citeshttps://doi.org/10.1007/s10462-025-11143-8openalex-snapshot
Multiple sclerosis classification and segmentation in neuroimaging MRI using different machine and deep learning techniques: a review
inferred← citeshttps://doi.org/10.1007/s10489-021-02722-7openalex-snapshot
A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation
inferred← citeshttps://doi.org/10.1007/s10851-010-0195-5openalex-snapshot
Multiphase Soft Segmentation with Total Variation and H 1 Regularization
inferred← citeshttps://doi.org/10.1007/s10851-013-0419-6openalex-snapshot
A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models
inferred← citeshttps://doi.org/10.1007/s10851-014-0519-yopenalex-snapshot
Active Contour with a Tangential Component
inferred← citeshttps://doi.org/10.1007/s10915-025-02943-9openalex-snapshot
Fractional Laplacian-Enhanced Local-Global Intensity Fitting Energy for Noisy and Inhomogeneous Image Segmentation
inferred← citeshttps://doi.org/10.1007/s10916-014-0068-3openalex-snapshot
A Hybrid Method Based on Fuzzy Clustering and Local Region-Based Level Set for Segmentation of Inhomogeneous Medical Images
inferred← citeshttps://doi.org/10.1007/s11042-013-1553-2openalex-snapshot
A novel multiphase active contour model for inhomogeneous image segmentation
inferred← citeshttps://doi.org/10.1007/s11042-017-4591-3openalex-snapshot
A MRI image segmentation method based on medical semaphore calculating in medical multimedia big data environment
inferred← citeshttps://doi.org/10.1007/s11042-018-5954-0openalex-snapshot
A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image
inferred← citeshttps://doi.org/10.1007/s11042-018-6215-yopenalex-snapshot
Adaptive weighted fuzzy region based optimization for brain MR image segmentation
inferred← citeshttps://doi.org/10.1007/s11042-020-09094-zopenalex-snapshot
Local reverse entropy weighted LBF model solving by Split Bregman for image segmentation
inferred← citeshttps://doi.org/10.1007/s11042-022-12240-4openalex-snapshot
Brain tumor segmentation and classification in MRI using SVM and its variants: a survey
inferred← citeshttps://doi.org/10.1007/s11042-022-13782-3openalex-snapshot
A hybrid active contour image segmentation model with robust to initial contour position
inferred← citeshttps://doi.org/10.1007/s11042-024-20153-7openalex-snapshot
Speed-enhanced convolutional neural networks for COVID-19 classification using X-rays
inferred← citeshttps://doi.org/10.1007/s11042-025-20631-6openalex-snapshot
Survey on machine learning for MRI and PET fusion in alzheimer’s disease
inferred← citeshttps://doi.org/10.1007/s11063-021-10441-wopenalex-snapshot
Spatial Rough Intuitionistic Fuzzy C-Means Clustering for MRI Segmentation
inferred← citeshttps://doi.org/10.1007/s11227-022-04575-4openalex-snapshot
Deep convolutional neural networks for bias field correction of brain magnetic resonance images
inferred← citeshttps://doi.org/10.1007/s11390-016-1643-5openalex-snapshot
A Modified Fuzzy C-Means Algorithm for Brain MR Image Segmentation and Bias Field Correction
inferred← citeshttps://doi.org/10.1007/s11517-014-1198-yopenalex-snapshot
A modified method for MRF segmentation and bias correction of MR image with intensity inhomogeneity
inferred← citeshttps://doi.org/10.1007/s11517-016-1483-zopenalex-snapshot
3D cerebral MR image segmentation using multiple-classifier system
inferred← citeshttps://doi.org/10.1007/s11517-016-1540-7openalex-snapshot
MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization
inferred← citeshttps://doi.org/10.1007/s11517-020-02225-6openalex-snapshot
Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation
inferred← citeshttps://doi.org/10.1007/s11538-016-0190-0openalex-snapshot
Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix Factorization with Application to Brain MRI
inferred← citeshttps://doi.org/10.1007/s11548-019-01928-yopenalex-snapshot
A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts
inferred← citeshttps://doi.org/10.1007/s11760-014-0689-5openalex-snapshot
A nonparametric method for intensity inhomogeneity correction in MRI brain images by fusion of Gaussian surfaces
inferred← citeshttps://doi.org/10.1007/s11760-015-0836-7openalex-snapshot
Simultaneous vector-valued image segmentation and intensity nonuniformity correction using variational level set combined with Markov random field modeling
inferred← citeshttps://doi.org/10.1007/s11760-015-0847-4openalex-snapshot
Iterative illumination correction with implicit regularization
inferred← citeshttps://doi.org/10.1007/s11760-017-1221-5openalex-snapshot
Liver MRI segmentation with edge-preserved intensity inhomogeneity correction
inferred← citeshttps://doi.org/10.1007/s11760-019-01440-5openalex-snapshot
A novel multi-atlas and multi-channel (MAMC) approach for multiple sclerosis lesion segmentation in brain MRI
inferred← citeshttps://doi.org/10.1007/s11760-020-01721-4openalex-snapshot
Bias field correction for improved compressed sensing reconstruction in parallel magnetic resonance imaging
inferred← citeshttps://doi.org/10.1007/s11760-020-01724-1openalex-snapshot
Multi-phase level set method for precise segmentation and correction of brain MRI
inferred← citeshttps://doi.org/10.1007/s12008-017-0415-yopenalex-snapshot
3D printing of cardiac structures from medical images: an overview of methods and interactive tools
inferred← citeshttps://doi.org/10.1007/s12021-015-9277-2openalex-snapshot
Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images
inferred← citeshttps://doi.org/10.1007/s12021-024-09655-9openalex-snapshot
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images
inferred← citeshttps://doi.org/10.1007/s13139-017-0506-5openalex-snapshot
CT Radiomics in Thoracic Oncology: Technique and Clinical Applications
inferred← citeshttps://doi.org/10.1007/s13246-019-00720-1openalex-snapshot
An inter-centre statistical scale standardisation for quantitatively evaluating prostate tissue on T2-weighted MRI
inferred← citeshttps://doi.org/10.1007/s13748-026-00458-4openalex-snapshot
Class median min–max threshold technique for the identification of mild cognitive impairment
inferred← citeshttps://doi.org/10.1007/s40436-015-0105-6openalex-snapshot
Double regularization control based on level set evolution for tablet packaging image segmentation
inferred← citeshttps://doi.org/10.1007/s40846-017-0270-0openalex-snapshot
Enhancement and Intensity Inhomogeneity Correction of Diffusion-Weighted MR Images of Neonatal and Infantile Brain Using Dynamic Stochastic Resonance
inferred← citeshttps://doi.org/10.1007/s40846-018-0390-1openalex-snapshot
A Review of Deformation Models in Medical Image Registration
inferred← citeshttps://doi.org/10.1007/s41651-025-00213-8openalex-snapshot
Inferring Radiometric Quality of Multispectral Airborne Laser Scanning Data
inferred← citeshttps://doi.org/10.1007/s41870-020-00496-8openalex-snapshot
Performance analysis of bias correction techniques in brain MR images
inferred← citeshttps://doi.org/10.1007/s44443-025-00109-zopenalex-snapshot
MWFNet: A multi-level wavelet fusion network for hippocampal subfield segmentation
inferred← citeshttps://doi.org/10.1016/b978-0-12-397025-1.00298-0openalex-snapshot
Intensity Nonuniformity Correction
inferred← citeshttps://doi.org/10.1016/b978-0-12-802581-9.00014-7openalex-snapshot
Semantic Parsing of Brain MR Images
inferred← citeshttps://doi.org/10.1016/b978-0-12-803468-2.00004-7openalex-snapshot
Brain MRI Intensity Inhomogeneity Correction Using Region of Interest, Anatomic Structural Map, and Outlier Detection
inferred← citeshttps://doi.org/10.1016/b978-0-12-821777-1.00007-0openalex-snapshot
A review of deep learning models for medical diagnosis
inferred← citeshttps://doi.org/10.1016/b978-0-12-822271-3.00014-1openalex-snapshot
Brain tissues segmentation in magnetic resonance imaging for the diagnosis of brain disorders using a convolutional neural network
inferred← citeshttps://doi.org/10.1016/b978-0-443-21870-5.00034-0openalex-snapshot
Various segmentation techniques for medical images and the role of IoT
inferred← citeshttps://doi.org/10.1016/j.acra.2010.01.005openalex-snapshot
MRI Texture Analysis in Multiple Sclerosis: Toward a Clinical Analysis Protocol
inferred← citeshttps://doi.org/10.1016/j.acra.2016.03.010openalex-snapshot
Computer-aided Detection of Prostate Cancer with MRI
inferred← citeshttps://doi.org/10.1016/j.acra.2019.01.012openalex-snapshot
Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net
inferred← citeshttps://doi.org/10.1016/j.acra.2025.01.029openalex-snapshot
Diagnostic Values of Magnetic Resonance Imaging and Computed Tomography for Predicting Macrotrabecular-Massive Hepatocellular Carcinoma Subtype: A Meta-analysis
inferred← citeshttps://doi.org/10.1016/j.acra.2025.08.043openalex-snapshot
Comparison of Diagnostic Accuracies of Radiomics and Non-radiomics Model for Preoperative Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma: A Systematic Review and Meta-analysis
inferred← citeshttps://doi.org/10.1016/j.adro.2020.04.027openalex-snapshot
A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study
inferred← citeshttps://doi.org/10.1016/j.adro.2020.10.004openalex-snapshot
A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study
inferred← citeshttps://doi.org/10.1016/j.ajp.2018.05.014openalex-snapshot
Construction of population-specific Indian MRI brain template: Morphometric comparison with Chinese and Caucasian templates
inferred← citeshttps://doi.org/10.1016/j.apm.2024.03.019openalex-snapshot
Fractional guidance-based level set evolution for noisy image segmentation with intensity inhomogeneity
inferred← citeshttps://doi.org/10.1016/j.appet.2019.104333openalex-snapshot
Cerebral hunger maps in rodents and humans by diffusion weighted MRI
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.01.003openalex-snapshot
Integrating fuzzy entropy clustering with an improved PSO for MRI brain image segmentation
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.04.031openalex-snapshot
Local contextual information and Gaussian function induced fuzzy clustering algorithm for brain MR image segmentation and intensity inhomogeneity estimation
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106171openalex-snapshot
A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2016.08.008openalex-snapshot
Detection of rust defects on steel bridge coatings via digital image recognition
inferred← citeshttps://doi.org/10.1016/j.bbe.2015.12.007openalex-snapshot
Knee bone segmentation from MRI: A classification and literature review
inferred← citeshttps://doi.org/10.1016/j.bbe.2016.01.001openalex-snapshot
Segmentation of brain MR images using rough set based intuitionistic fuzzy clustering
inferred← citeshttps://doi.org/10.1016/j.bspc.2010.08.004openalex-snapshot
Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models
inferred← citeshttps://doi.org/10.1016/j.bspc.2013.07.010openalex-snapshot
Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method
inferred← citeshttps://doi.org/10.1016/j.bspc.2018.08.005openalex-snapshot
Original intensity preserved inhomogeneity correction and segmentation for liver magnetic resonance imaging
inferred← citeshttps://doi.org/10.1016/j.bspc.2018.11.008openalex-snapshot
Rician noise and intensity nonuniformity correction (NNC) model for MRI data
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