4.7 Review

State-of-the-Art Segmentation Techniques and Future Directions for Multiple Sclerosis Brain Lesions

Related references

Note: Only part of the references are listed.
Article Radiology, Nuclear Medicine & Medical Imaging

A level set method for multiple sclerosis lesion segmentation

Yue Zhao et al.

MAGNETIC RESONANCE IMAGING (2018)

Article Clinical Neurology

Predicting falls in multiple sclerosis: Do electrophysiological measures have a better predictive accuracy compared to clinical measures?

Somasundaram Aadhimoolam Chinnadurai et al.

MULTIPLE SCLEROSIS AND RELATED DISORDERS (2018)

Article Computer Science, Hardware & Architecture

An efficient multiple sclerosis segmentation and detection system using neural networks

Mohammad H. Alshayeji et al.

COMPUTERS & ELECTRICAL ENGINEERING (2018)

Review Engineering, Biomedical

Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging

Antonios Danelakis et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2018)

Proceedings Paper Computer Science, Theory & Methods

Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation

Zhewei Wang et al.

MACHINE LEARNING IN MEDICAL IMAGING: 9TH INTERNATIONAL WORKSHOP, MLMI 2018 (2018)

Article Automation & Control Systems

Multi-view longitudinal CNN for multiple sclerosis lesion segmentation

Ariel Birenbaum et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)

Article Computer Science, Artificial Intelligence

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

Konstantinos Kamnitsas et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Clinical Neurology

Demographic and clinical profile of Multiple Sclerosis in Kashmir: A short report

Insha Zahoor et al.

MULTIPLE SCLEROSIS AND RELATED DISORDERS (2017)

Article Computer Science, Interdisciplinary Applications

An effective method for computerized prediction and segmentation of multiple sclerosis lesions in brain MRI

Sudipta Roy et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)

Proceedings Paper Computer Science, Theory & Methods

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble

Yani Chen et al.

MACHINE LEARNING IN MEDICAL IMAGING (MLMI 2017) (2017)

Article Computer Science, Interdisciplinary Applications

White Matter MS-Lesion Segmentation Using a Geometric Brain Model

Maddalena Strumia et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Computer Science, Interdisciplinary Applications

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Sergio Pereira et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Computer Science, Interdisciplinary Applications

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Tom Brosch et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Computer Science, Interdisciplinary Applications

Segmenting Retinal Blood Vessels With Deep Neural Networks

Pawel Liskowski et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Review Clinical Neurology

MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines

Massimo Filippi et al.

LANCET NEUROLOGY (2016)

Article Mathematical & Computational Biology

volBrain: An Online MRI Brain Volumetry System

Jose V. Manjon et al.

FRONTIERS IN NEUROINFORMATICS (2016)

Article Neuroimaging

Reliability of measuring regional callosal atrophy in neurodegenerative diseases

Jeroen Van Schependom et al.

NEUROIMAGE-CLINICAL (2016)

Proceedings Paper Computer Science, Information Systems

HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs

Xian-Hua Han et al.

DEEP LEARNING AND DATA LABELING FOR MEDICAL APPLICATIONS (2016)

Review Clinical Neurology

Multiple sclerosis in India: An overview

Bhim S. Singhal et al.

ANNALS OF INDIAN ACADEMY OF NEUROLOGY (2015)

Article Computer Science, Interdisciplinary Applications

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

Carole H. Sudre et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)

Article Computer Science, Interdisciplinary Applications

Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI

Zahra Karimaghaloo et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)

Article Computer Science, Interdisciplinary Applications

A Model of Population and Subject (MOPS) Intensities With Application to Multiple Sclerosis Lesion Segmentation

Xavier Tomas-Fernandez et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)

Article Clinical Neurology

A toolbox for multiple sclerosis lesion segmentation

Eloy Roura et al.

NEURORADIOLOGY (2015)

Article Computer Science, Information Systems

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation

Snehashis Roy et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2015)

Article Neuroimaging

Rotation-invariant multi-contrast non-local means for MS lesion segmentation

Nicolas Guizard et al.

NEUROIMAGE-CLINICAL (2015)

Article Engineering, Biomedical

Analysis of lesions in multiple sclerosis using image processing techniques

G. Wiselin Jiji

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation

Tom Brosch et al.

MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, PT III (2015)

Proceedings Paper Optics

Multi-Output Decision Trees for Lesion Segmentation in Multiple Sclerosis

Amod Jog et al.

MEDICAL IMAGING 2015: IMAGE PROCESSING (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Automated Identification of Brain New Lesions in Multiple Sclerosis Using Subtraction Images

Marco Battaglini et al.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2014)

Article Biochemical Research Methods

BOOST: A supervised approach for multiple sclerosis lesion segmentation

Mariano Cabezas et al.

JOURNAL OF NEUROSCIENCE METHODS (2014)

Article Computer Science, Interdisciplinary Applications

Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI

Colm Elliott et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)

Review Computer Science, Artificial Intelligence

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

Daniel Garcia-Lorenzo et al.

MEDICAL IMAGE ANALYSIS (2013)

Article Computer Science, Information Systems

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

Xavier Llado et al.

INFORMATION SCIENCES (2012)

Article Computer Science, Interdisciplinary Applications

Trimmed-Likelihood Estimation for Focal Lesions and Tissue Segmentation in Multisequence MRI for Multiple Sclerosis

Daniel Garcia-Lorenzo et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)

Article Computer Science, Interdisciplinary Applications

An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data

Brian B. Avants et al.

NEUROINFORMATICS (2011)

Proceedings Paper Engineering, Electrical & Electronic

White Matter Lesion Segmentation Using Machine Learning and Weakly Labeled MR Images

Yuchen Xie et al.

MEDICAL IMAGING 2011: IMAGE PROCESSING (2011)

Article Clinical Neurology

Multiple sclerosis in North-West India

J. S. Chopra et al.

ACTA NEUROLOGICA SCANDINAVICA (2010)

Article Computer Science, Interdisciplinary Applications

Fast free-form deformation using graphics processing units

Marc Modat et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2010)

Article Computer Science, Interdisciplinary Applications

N4ITK: Improved N3 Bias Correction

Nicholas J. Tustison et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)

Article Neurosciences

Skull stripping using graph cuts

Suresh A. Sadananthan et al.

NEUROIMAGE (2010)

Article Neurosciences

Accurate and robust brain image alignment using boundary-based registration

Douglas N. Greve et al.

NEUROIMAGE (2009)

Article Computer Science, Interdisciplinary Applications

An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images

Pierrick Coupe et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2008)

Review Medicine, General & Internal

Multiple sclerosis

Alastair Compston et al.

LANCET (2008)

Article Neurosciences

Probabilistic segmentation of white lesions in MR imaging

P Anbeek et al.

NEUROIMAGE (2004)

Article Computer Science, Interdisciplinary Applications

Noise reduction for magnetic resonance images via adaptive multiscale products thresholding

P Bao et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2003)

Article Neurosciences

Fast robust automated brain extraction

SM Smith

HUMAN BRAIN MAPPING (2002)

Article Computer Science, Interdisciplinary Applications

Automatic pipeline analysis of 3-D MRI data for clinical trials: Application to multiple sclerosis

AP Zijdenbos et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2002)

Article Computer Science, Artificial Intelligence

Automatic detection and segmentation of evolving processes in 3D medical images: Application to multiple sclerosis

D Rey et al.

MEDICAL IMAGE ANALYSIS (2002)

Article Computer Science, Interdisciplinary Applications

Automated segmentation of multiple sclerosis lesions by model outlier detection

K Van Leemput et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2001)

Article Computer Science, Artificial Intelligence

A global optimisation method for robust affine registration of brain images

M Jenkinson et al.

MEDICAL IMAGE ANALYSIS (2001)

Article Computer Science, Interdisciplinary Applications

New variants of a method of MRI scale standardization

LG Nyúl et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2000)