Automatic Segmentation and Classification of Multiple Sclerosis in Multichannel MRI

No abstract is available for this paper.

• Publication year

  2009

• Venue

  IEEE Transactions on Biomedical Engineering

• Publication date

  2009-09-15

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/TBME.2008.926671PMID 19758850
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Classification and regression trees

  2012cited by this paper
• Hierarchy and adaptivity in segmenting visual scenes

  2006cited by this paper
• Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification

  2006cited by this paper
• Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI

  2006cited by this paper
• A probabilistic framework for the detection and tracking in time of multiple sclerosis lesions

  2004cited by this paper
• Dirty-appearing white matter in multiple sclerosis: volumetric MR imaging and magnetization transfer ratio histogram analysis.

  2003cited by this paper
• Three‐dimensional analysis of the geometry of individual multiple sclerosis lesions: Detection of shape changes over time using spherical harmonics

  2003cited by this paper
• Expert Knowledge Guided Segmentation System for Brain MRI

  2003cited by this paper
• Texture segmentation by multiscale aggregation of filter responses and shape elements

  2003cited by this paper
• Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis

  2002cited by this paper
• Brain MRI lesion load quantification in multiple sclerosis: a comparison between automated multispectral and semi-automated thresholding computer-assisted techniques.

  2002cited by this paper
• Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy

  2002cited by this paper
• Automated segmentation of multiple sclerosis lesions by model outlier detection

  2001cited by this paper
• Medical Image Analysis: Progress over Two Decades and the Challenges Ahead

  2000cited by this paper
• Assessment of posterior fossa damage in MS using MRI.

  2000cited by this paper
• Quantitative follow‐up of patients with multiple sclerosis using MRI: Reproducibility

  1999cited by this paper
• Human Brain Function

  1998cited by this paper
• The role of magnetic resonance techniques in understanding and managing multiple sclerosis.

  1998cited by this paper
• Multiple sclerosis lesion quantification using fuzzy-connectedness principles

  1997cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• Utilizing Segmented MRI Data in Image-Guided Surgery

  1997cited by this paper
• Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI

  1996cited by this paper
• Bagging Predictors

  1996cited by this paper
• A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM).

  1995cited by this paper
• Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions.

  1995cited by this paper
• Adaptive Segmentation of MRI Data

  1995cited by this paper
• MRI segmentation: methods and applications.

  1995cited by this paper
• Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images

  1995cited by this paper
• A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development: The International Consortium for Brain Mapping (ICBM)

  1995influential reference
• Classification and regression trees

  1983cited by this paper
• Pattern classification and scene analysis

  1974influential reference
• and as an in

  year unknowncited by this paper

• Automated White Matter Lesions Segmentation of MRIs for Multiple Sclerosis Detection Using Fuzzy-Entropy Algorithm

  2024cites this paper
• Exploration of DenseNet and CNN Features of Multiple Sclerosis Classification Using CAM

  2024cites this paper
• Multichannel EEG Pattern Acknowledgment Feature Assortment Using T-Test Ranking and Principal Component Analysis

  2023cites this paper
• Semisupervised white matter hyperintensities segmentation on MRI

  2022cites this paper
• Lesions Detection of Multiple Sclerosis in 3D Brian MR Images by Using Artificial Immune Systems and Support Vector Machines

  2021influential citation
• Detection of Multiple Sclerosis using Deep Learning

  2021cites this paper
• Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review

  2021cites this paper
• Review of advanced computational approaches on multiple sclerosis segmentation and classification

  2020cites this paper
• Automated Segmentation of Abnormal Tissues in Medical Images

  2019cites this paper
• Classifying intracranial stenosis disease severity from functional MRI data using machine learning

  2019cites this paper
• Brain tissue segmentation based on MP2RAGE multi-contrast images in 7 T MRI

  2018cites this paper
• An Approach for Analyzing Noisy Multiple Sclerosis Images Using Truncated Beta Gaussian Mixture Model

  2018cites this paper
• Voxel-Wise Logistic Regression and Leave-One-Source-Out Cross Validation for white matter hyperintensity segmentation.

  2018cites this paper
• Classification of multiple sclerosis and non-specific white matter lesions using spherical harmonics descriptors

  2018cites this paper
• Review on Detection of Multiple Sclerosis in Brain MR Images

  2018influential citation
• Automatic white matter lesion detection and segmentation on Magnetic Resonance Imaging: A review of past and current state- of-the-art

  2018cites this paper
• Brain Tumor Type Detection Using Texture Features in MR Images

  2018cites this paper
• An energy minimization method for MS lesion segmentation from T1-w and FLAIR images.

  2017cites this paper
• A level set method for multiple sclerosis lesion segmentation.

  2017cites this paper
• Clasificación de hiperintensidades presentes en la sustancia blanca en imágenes de resonancia magnática usando extracción de características y redes neuronales

  2017cites this paper
• Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans

  2017cites this paper
• MRI images classification based on software agent

  2017cites this paper
• Feasibility study of machine vision for diagnosis of multiple sclerosis

  2017cites this paper
• Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging

  2017cites this paper
• Spatially Adaptive Random Forest

  2017influential citation
• Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

  2017cites this paper
• Semi-Automatic Segmentation of Multiple Sclerosis Lesion in 4D Modality

  2017cites this paper
• Voxel-Wise Image Analysis for White Matter Hyperintensity Segmentation

  2017cites this paper
• Comparative Study of Classification System using K-NN, SVM and Ada-boost for Multiple Sclerosis and Tumor Lesions using Brain MRI

  2016cites this paper
• FCM Clustering Algorithms for Segmentation of Brain MR Images

  2016cites this paper
• Multimodal Correlative Preclinical Whole Body Imaging and Segmentation

  2016cites this paper
• Volumetric and fiber-tracing MRI methods for gray and white matter.

  2016cites this paper
• An automated MRI segmentation framework for brains with tumors and multiple sclerosis lesions

  2016cites this paper
• Chapter 2 Quantification of MS pathology from MRI Quantification of pathology from magnetic resonance images in multiple sclerosis

  2016cites this paper
• Stratified mixture modeling for segmentation of white-matter lesions in brain MR images

  2016influential citation
• Computer Aided Diagnosis System For Brain Disease Analysis

  2016cites this paper
• Combining Unsupervised and Supervised Methods for Lesion Segmentation

  2015cites this paper
• Automated Quantitative Analysis of Cardiac Medical Images

  2015cites this paper
• Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening

  2015cites this paper
• Automated Quantitative Analysis of Cardiac Medical

  2015cites this paper
• A Robust Energy Minimization Algorithm for MS-Lesion Segmentation

  2015cites this paper
• A Real-Time Analysis of Traumatic Brain Injury from T2 Weighted Magnetic Resonance Images Using a Symmetry-Based Algorithm

  2015cites this paper
• Automatic segmentation of brain MRI through stationary wavelet transform and random forests

  2014cites this paper
• MS lesions segmentation in 3D MR images using FCM and SVM

  2014cites this paper
• Self-Supervised MRI Tissue Segmentation by Discriminative Clustering

  2014cites this paper
• Advances in Analysis and Exploration in Medical Imaging

  2014cites this paper
• On artefact reduction, segmentation and classification of 3D computed tomography imagery in baggage security screening

  2014cites this paper
• Application of variable threshold intensity to segmentation for white matter hyperintensities in fluid attenuated inversion recovery magnetic resonance images

  2014cites this paper
• Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding

  2014influential citation
• Multiple Sclerosis lesion segmentation using Active Contours model and adaptive outlier detection method

  2014cites this paper
• Semi-automatic Segmentation of Brain Tumors Using Population and Individual Information

  2013cites this paper
• Spatially Adaptive Random Forests

  2013influential citation
• FLAIR lesion segmentation: application in patients with brain tumors and acute ischemic stroke.

  2013cites this paper
• Increasing the Contrast of the Brain MR FLAIR Images Using Fuzzy Membership Functions and Structural Similarity Indices in Order to Segment MS Lesions

  2013cites this paper
• A Novel Approach for the Prediction of Epilepsy from 2 D Medical Images using Case Based Reasoning Classification Model

  2013cites this paper
• An Advanced DSS for Classification of Multiple-Sclerosis Lesions in MR Images

  2013cites this paper
• Automated Brain Tissue Classification by Multisignal Wavelet Decomposition and Independent Component Analysis

  2013cites this paper
• High intensity region segmentation in MR imaging of multiple sclerosis

  2013cites this paper
• ANFIS based Automated System for the Detection of Gadolinium Lesions in Brain MRI

  2013cites this paper
• A comprehensive approach to the segmentation of multichannel three-dimensional MR brain images in multiple sclerosis☆

  2013cites this paper
• Compatible abnormality detection technique for CT and MRI brain images

  2013cites this paper
• Atlas-based segmentation of multiple sclerosis lesions in magnetic resonance imaging

  2013influential citation
• Segmentación de lesiones de esclerosis múltiple en imágenes de RM de alto campo.

  2013cites this paper
• ANFIS based Automated System for the Detection of Gadolinium Lesions in Brain MRI

  2013cites this paper
• Accurate white matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTPs)☆

  2013cites this paper
• Corpus Callosum deformation analysis in Multiple Sclerosis

  2013cites this paper
• Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging

  2013influential citation
• An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis

  2012cites this paper
• Segmentation of Multiple Sclerosis Lesions in Brain MRI

  2012cites this paper
• Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

  2012cites this paper
• Evolving Cellular Neural Networks for the Automated Segmentation of Multiple Sclerosis Lesions

  2012cites this paper
• Detection of hyperintense regions on MR brain images using a Mamdani type Fuzzy Rule-Based System: Application to the detection of small multiple sclerosis lesions

  2011cites this paper
• A review of atlas-based segmentation for magnetic resonance brain images

  2011cites this paper
• Interpreting fuzzy set operations and Multi Level Agreement in a Computing with Words context

  2011cites this paper
• Fuzzy approach toward reducing false positives in the detection of small multiple sclerosis lesions in magnetic resonance images

  2011cites this paper
• Classification of Magnetic Resonance brain images by using weighted radial basis function kernels

  2011cites this paper
• Automated detection of multiple sclerosis candidate regions in MR images: false-positive removal with use of an ANN-controlled level-set method

  2011cites this paper
• An evolutionary-fuzzy DSS for assessing health status in multiple sclerosis disease

  2011cites this paper
• Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in Co-registered 18-FDG PET/CT Images

  2011cites this paper
• Trimmed-Likelihood Estimation for Focal Lesions and Tissue Segmentation in Multisequence MRI for Multiple Sclerosis

  2011cites this paper
• An ontology-based fuzzy decision support system for multiple sclerosis

  2011cites this paper
• Filtering false detections of small multiple sclerosis lesions using fuzzy regional analysis

  2010cites this paper
• Statistical Texture Analysis of MRI Images to Classify Patients Affected by Multiple Sclerosis

  2010cites this paper
• An evolutionary-fuzzy approach for supporting diagnosis and monitoring of Multiple Sclerosis

  2010cites this paper
• Current Awareness in NMR in Biomedicine

  2010cites this paper
• Atlas-based segmentation of brain MRI

  2010cites this paper
• Optimizing the Use of Radiologist Seed Points for Improved Multiple Sclerosis Lesion Segmentation

  2010cites this paper
• Voxel classification of periprosthetic tissues in clinical computed tomography of loosened hip prostheses

  2010cites this paper
• Unsupervised segmentation of MR images for brain dock examinations

  2010cites this paper