Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review

Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change

(2020) Cassidy M. Fiford et al.   NEUROINFORMATICS

Artificial intelligence, bias and clinical safety

(2019) Robert Challen et al.   BMJ Quality & Safety

Prospective association of white matter hyperintensity volume and frailty in older adults

(2019) Mathieu Maltais et al.   EXPERIMENTAL GERONTOLOGY

Severity of White Matter Hyperintensities and Effects on All-Cause Mortality in the Mayo Clinic Florida Familial Cerebrovascular Diseases Registry

(2019) Tasneem F. Hasan et al.   MAYO CLINIC PROCEEDINGS

White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts – The MRI-GENIE study

(2019) Markus D. Schirmer et al.   NeuroImage-Clinical

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

(2019) Hugo J. Kuijf et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding

(2019) Vaanathi Sundaresan et al.   NEUROIMAGE

Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs

(2019) Jisu Hong et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images

(2019) Muhammad Febrian Rachmadi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities

(2019) Liangliang Liu et al.   NEUROCOMPUTING

A comparative study of segmentation techniques for the quantification of brain subcortical volume

(2018) Theophilus N. Akudjedu et al.   Brain Imaging and Behavior

Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network

(2018) Pedro Henrique Bandeira Diniz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting

(2018) Jose V. Manjón et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology

(2018) Muhammad Febrian Rachmadi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Voxel-Wise Logistic Regression and Leave-One-Source-Out Cross Validation for white matter hyperintensity segmentation

(2018) Jesse Knight et al.   MAGNETIC RESONANCE IMAGING

UBO Detector – A cluster-based, fully automated pipeline for extracting white matter hyperintensities

(2018) Jiyang Jiang et al.   NEUROIMAGE

Validation and Optimization of BIANCA for the Segmentation of Extensive White Matter Hyperintensities

(2018) Yifeng Ling et al.   NEUROINFORMATICS

A large margin algorithm for automated segmentation of white matter hyperintensity

(2018) Chen Qin et al.   PATTERN RECOGNITION

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

(2018) R. Guerrero et al.   NeuroImage-Clinical

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI

(2018) Pim Moeskops et al.   NeuroImage-Clinical

DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs

(2018) Bo-yong Park et al.   NeuroImage-Clinical

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

(2018) Hongwei Li et al.   NEUROIMAGE

Validation of a Regression Technique for Segmentation of White Matter Hyperintensities in Alzheimer’s Disease

(2017) Mahsa Dadar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Longitudinal segmentation of age-related white matter hyperintensities

(2017) Carole H. Sudre et al.   MEDICAL IMAGE ANALYSIS

Automated tissue segmentation of MR brain images in the presence of white matter lesions

(2017) Sergi Valverde et al.   MEDICAL IMAGE ANALYSIS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging

(2017) Mahsa Dadar et al.   NEUROIMAGE

Robust skull stripping using multiple MR image contrasts insensitive to pathology

(2017) Snehashis Roy et al.   NEUROIMAGE

Improved Automatic Segmentation of White Matter Hyperintensities in MRI Based on Multilevel Lesion Features

(2017) M. Rincón et al.   NEUROINFORMATICS

Selection bias in the reported performances of AD classification pipelines

(2017) Alex F. Mendelson et al.   NeuroImage-Clinical

Brain lesion segmentation through image synthesis and outlier detection

(2017) Christopher Bowles et al.   NeuroImage-Clinical

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

(2017) Mohsen Ghafoorian et al.   Scientific Reports

Supervised learning technique for the automated identification of white matter hyperintensities in traumatic brain injury

(2016) James R. Stone et al.   BRAIN INJURY

Guidance on assessing the methodological and reporting quality of toxicologically relevant studies: A scoping review

(2016) Gbeminiyi O. Samuel et al.   ENVIRONMENT INTERNATIONAL

Brain magnetic resonance imaging helps to differentiate atypical multiple sclerosis with cavitary lesions and vanishing white matter disease

(2016) X. Ayrignac et al.   EUROPEAN JOURNAL OF NEUROLOGY

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

(2016) Pim Moeskops et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

(2016) Ludovica Griffanti et al.   NEUROIMAGE

Implementing research results in clinical practice- the experiences of healthcare professionals

(2015) Nanna Kristensen et al.   BMC HEALTH SERVICES RESEARCH

MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

(2015) Ivana Despotović et al.   Computational and Mathematical Methods in Medicine

Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation

(2015) Carole H. Sudre et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols

(2015) Annegreet van Opbroek et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

(2015) M. Jorge Cardoso et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images

(2015) Tianming Zhan et al.   IET Computer Vision

Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

(2015) Annegreet van Opbroek et al.   MEDICAL IMAGE ANALYSIS

White matter hyperintensities and normal-appearing white matter integrity in the aging brain

(2015) Susana Muñoz Maniega et al.   NEUROBIOLOGY OF AGING

Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review

(2015) Maria Eugenia Caligiuri et al.   NEUROINFORMATICS

What are White Matter Hyperintensities Made of? Relevance to Vascular Cognitive Impairment

(2015) Joanna M. Wardlaw et al.   Journal of the American Heart Association

Brain Extraction Using Label Propagation and Group Agreement: Pincram

(2015) Rolf A. Heckemann et al.   PLoS One

Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution

(2014) Rui Wang et al.   NEURORADIOLOGY

Optimized Brain Extraction for Pathological Brains (optiBET)

(2014) Evan S. Lutkenhoff et al.   PLoS One

Understanding Sources of Bias in Diagnostic Accuracy Studies

(2013) Robert L. Schmidt et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Adaptively Weighted Large Margin Classifiers

(2013) Yichao Wu et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration

(2013) Joanna M Wardlaw et al.   LANCET NEUROLOGY

STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation

(2013) M. Jorge Cardoso et al.   MEDICAL IMAGE ANALYSIS

The Origin of White Matter Lesions

(2013) Franz Fazekas et al.   STROKE

Accurate white matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTPs)

(2013) Martijn D. Steenwijk et al.   NeuroImage-Clinical

OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI

(2013) Elizabeth M. Sweeney et al.   NeuroImage-Clinical

Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging

(2012) Daniel García-Lorenzo et al.   MEDICAL IMAGE ANALYSIS

Automated quantitative FLAIR analysis in hippocampal sclerosis

(2011) Hans-Jürgen Huppertz et al.   EPILEPSY RESEARCH

Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

(2011) Xavier Lladó et al.   INFORMATION SCIENCES

Automated detection of multiple sclerosis lesions in serial brain MRI

(2011) Xavier Lladó et al.   NEURORADIOLOGY

Segmentation of multiple sclerosis lesions in MR images: a review

(2011) Daryoush Mortazavi et al.   NEURORADIOLOGY

Impact of White Matter Lesions on Physical Functioning and Fall Risk in Older People

(2011) Jacqueline J.J. Zheng et al.   STROKE

New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images

(2010) Maria del C. Valdés Hernández et al.   EUROPEAN RADIOLOGY

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Natural history of adult-onset eIF2B-related disorders: a multi-centric survey of 16 cases

(2009) P. Labauge et al.   BRAIN

elastix: A Toolbox for Intensity-Based Medical Image Registration

(2009) S. Klein et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Adaptive non-local means denoising of MR images with spatially varying noise levels

(2009) José V. Manjón et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Classification of White Matter Lesions on Magnetic Resonance Imaging in Elderly Persons

(2008) Ki Woong Kim et al.   BIOLOGICAL PSYCHIATRY

An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images

(2008) P. Coupe et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING