Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks

(2021) Richard McKinley et al.   Scientific Reports

Current Review and Next Steps for Artificial intelligence in Multiple Sclerosis risk research

(2021) Morghan Hartmann et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Detection of multiple sclerosis from photic stimulation EEG signals

(2021) Büşra Kübra Karaca et al.   Biomedical Signal Processing and Control

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

(2021) Danial Sharifrazi et al.   Biomedical Signal Processing and Control

Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis

(2020) Russell Ouellette et al.   ANNALS OF NEUROLOGY

Deep-Learning Generated Synthetic Double Inversion Recovery Images Improve Multiple Sclerosis Lesion Detection

(2020) Tom Finck et al.   INVESTIGATIVE RADIOLOGY

Internet of things in medicine: A systematic mapping study

(2020) Farahnaz Sadoughi et al.   JOURNAL OF BIOMEDICAL INFORMATICS

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

(2020) Pietro Maggi et al.   NMR IN BIOMEDICINE

Continuous reorganization of cortical information flow in multiple sclerosis: A longitudinal fMRI effective connectivity study

(2020) Vinzenz Fleischer et al.   Scientific Reports

Deep convolutional neural networks with transfer learning for automated brain image classification

(2020) Taranjit Kaur et al.   MACHINE VISION AND APPLICATIONS

Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis

(2020) Ruggiero Seccia et al.   PLoS One

Gliosis and Neurodegenerative Diseases: The Role of PET and MR Imaging

(2020) Carlo Cavaliere et al.   Frontiers in Cellular Neuroscience

Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data

(2020) Antoine Ackaouy et al.   Frontiers in Computational Neuroscience

Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions

(2020) Zezhong Ye et al.   Annals of Clinical and Translational Neurology

Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation

(2020) Ehab Essa et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

AdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation

(2020) Maria Baldeon Calisto et al.   NEURAL NETWORKS

CNN-DMRI: A Convolutional Neural Network for Denoising of Magnetic Resonance Images

(2020) Prasun Chandra Tripathi et al.   PATTERN RECOGNITION LETTERS

Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

(2020) P. Roca et al.   Diagnostic and Interventional Imaging

Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs

(2020) Nils Gessert et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Multiple sclerosis identification in brain MRI images using wavelet convolutional neural networks

(2020) Ali Alijamaat et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Brain Structural Changes in Focal Dystonia—What About Task Specificity? A Multimodal MRI Study

(2020) Aleksandra Tomić et al.   MOVEMENT DISORDERS

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

(2020) Juan M. Górriz et al.   NEUROCOMPUTING

A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis

(2020) Li Zhang et al.   Frontiers in Neuroscience

Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team

(2020) T. Martín-Noguerol et al.   CLINICAL RADIOLOGY

Internet of things in health management systems: A review

(2020) Jinbo Huang et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis

(2020) Wen Wei et al.   NEUROIMAGE

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI

(2020) Chenyi Zeng et al.   Frontiers in Neuroinformatics

Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

(2019) A. Hagiwara et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Effect of Nonmyeloablative Hematopoietic Stem Cell Transplantation vs Continued Disease-Modifying Therapy on Disease Progression in Patients With Relapsing-Remitting Multiple Sclerosis

(2019) Richard K. Burt et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

FuNP (Fusion of Neuroimaging Preprocessing) Pipelines: A Fully Automated Preprocessing Software for Functional Magnetic Resonance Imaging

(2019) Bo-yong Park et al.   Frontiers in Neuroinformatics

Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks

(2019) Sheeba J. Sujit et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Long-term outcomes with teriflunomide in patients with clinically isolated syndrome: Results of the TOPIC extension study

(2019) Aaron E. Miller et al.   Multiple Sclerosis and Related Disorders

Cross-Sectional and Longitudinal MRI Brain Scans Reveal Accelerated Brain Aging in Multiple Sclerosis

(2019) Einar A. Høgestøl et al.   Frontiers in Neurology

Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases

(2019) Laura Sander et al.   HUMAN BRAIN MAPPING

DeepHarmony: A deep learning approach to contrast harmonization across scanner changes

(2019) Blake E. Dewey et al.   MAGNETIC RESONANCE IMAGING

Compressed sensing MRI via a multi-scale dilated residual convolution network

(2019) Yuxiang Dai et al.   MAGNETIC RESONANCE IMAGING

Cerebrospinal Fluid Analysis in Multiple Sclerosis Diagnosis: An Update

(2019) Bruna Lo Sasso et al.   Medicina-Lithuania

Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study

(2019) Refaat E Gabr et al.   Multiple Sclerosis Journal

Therapeutic efficacy of dimethyl fumarate in relapsing-remitting multiple sclerosis associates with ROS pathway in monocytes

(2019) Karl E. Carlström et al.   Nature Communications

Exploring uncertainty measures in deep networks for Multiple Sclerosis lesion detection and segmentation

(2019) Tanya Nair et al.   MEDICAL IMAGE ANALYSIS

Multi-branch convolutional neural network for multiple sclerosis lesion segmentation

(2019) Shahab Aslani et al.   NEUROIMAGE

Reduced Network Dynamics on Functional MRI Signals Cognitive Impairment in Multiple Sclerosis

(2019) Anand J. C. Eijlers et al.   RADIOLOGY

Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks

(2019) Aldo Marzullo et al.   Frontiers in Neuroscience

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

(2019) Fabian Eitel et al.   NeuroImage-Clinical

A 30‐Year Clinical and Magnetic Resonance Imaging Observational Study of Multiple Sclerosis and Clinically Isolated Syndromes

(2019) Karen K. Chung et al.   ANNALS OF NEUROLOGY

Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size

(2019) Ponnada A. Narayana et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

(2019) Navid Ghassemi et al.   Biomedical Signal Processing and Control

Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning

(2019) Ponnada A. Narayana et al.   MAGNETIC RESONANCE IMAGING

Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis

(2019) Wen Wei et al.   MEDICAL IMAGE ANALYSIS

Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies

(2019) Robert A. Brown et al.   NEUROIMAGE

Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI

(2019) Ponnada A. Narayana et al.   RADIOLOGY

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

(2019) Mr Amir Ebrahimighahnavieh et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data

(2018) Valeria Saccà et al.   Brain Imaging and Behavior

Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls

(2018) Hanni Kiiski et al.   BRAIN TOPOGRAPHY

Siponimod versus placebo in secondary progressive multiple sclerosis (EXPAND): a double-blind, randomised, phase 3 study

(2018) Ludwig Kappos et al.   LANCET

Effect of natalizumab on disease progression in secondary progressive multiple sclerosis (ASCEND): a phase 3, randomised, double-blind, placebo-controlled trial with an open-label extension

(2018) Raju Kapoor et al.   LANCET NEUROLOGY

Preferential spinal cord volume loss in primary progressive multiple sclerosis

(2018) Charidimos Tsagkas et al.   Multiple Sclerosis Journal

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

Neurovascular Coupling During Visual Stimulation in Multiple Sclerosis: A MEG-fMRI Study

(2018) Rachael Stickland et al.   NEUROSCIENCE

Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU

(2018) Yu-Dong Zhang et al.   Journal of Computational Science

Preferential spinal cord volume loss in primary progressive multiple sclerosis

(2018) Charidimos Tsagkas et al.   Multiple Sclerosis Journal

Worldwide prevalence of familial multiple sclerosis: A systematic review and meta-analysis

(2018) Mohammad Hossein Harirchian et al.   Multiple Sclerosis and Related Disorders

Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

(2018) Youngjin Yoo et al.   NeuroImage-Clinical

Rician noise attenuation in the wavelet packet transformed domain for brain MRI

(2018) Gabriela Pérez et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Convolutional Neural Networks for Neuroimaging in Parkinson’s Disease: Is Preprocessing Needed?

(2018) Francisco J. Martinez-Murcia et al.   International Journal of Neural Systems

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

(2018) Olivier Commowick et al.   Scientific Reports

Characterization of relapsing-remitting multiple sclerosis patients using support vector machine classifications of functional and diffusion MRI data

(2018) Mariana Zurita et al.   NeuroImage-Clinical

Determinants of Deep Gray Matter Atrophy in Multiple Sclerosis: A Multimodal MRI Study

(2018) G. Pontillo et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Structural MRI correlates of PASAT performance in multiple sclerosis

(2018) Jordi A. Matias-Guiu et al.   BMC Neurology

Multiple sclerosis - a review

(2018) R. Dobson et al.   EUROPEAN JOURNAL OF NEUROLOGY

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

(2018) Charley Gros et al.   NEUROIMAGE

The Role of Premotor Areas in Dual Tasking in Healthy Controls and Persons With Multiple Sclerosis: An fNIRS Imaging Study

(2018) Soha Saleh et al.   Frontiers in Behavioral Neuroscience

Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling

(2018) Shui-Hua Wang et al.   Frontiers in Neuroscience

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

(2018) Sergi Valverde et al.   NeuroImage-Clinical

Predicting conversion from clinically isolated syndrome to multiple sclerosis–An imaging-based machine learning approach

(2018) Haike Zhang et al.   NeuroImage-Clinical

Neurofilament light chain serum levels correlate with 10‐year MRI outcomes in multiple sclerosis

(2018) Tanuja Chitnis et al.   Annals of Clinical and Translational Neurology

Computer Aided Diagnosis System for multiple sclerosis disease based on phase to amplitude coupling in covert visual attention

(2018) Amirmasoud Ahmadi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

Multi-view longitudinal CNN for multiple sclerosis lesion segmentation

(2017) Ariel Birenbaum et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Abnormal task driven neural oscillations in multiple sclerosis: A visuomotor MEG study

(2017) Eleanor L. Barratt et al.   HUMAN BRAIN MAPPING

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Diagnosis of multiple sclerosis: progress and challenges

(2017) Wallace J Brownlee et al.   LANCET

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

(2017) Sergi Valverde et al.   NEUROIMAGE

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

(2017) Aaron Carass et al.   NEUROIMAGE

Autologous hematopoietic stem cell transplantation in relapsing-remitting multiple sclerosis: comparison with secondary progressive multiple sclerosis

(2017) Bonaventura Casanova et al.   NEUROLOGICAL SCIENCES

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Trial of Minocycline in a Clinically Isolated Syndrome of Multiple Sclerosis

(2017) Luanne M. Metz et al.   NEW ENGLAND JOURNAL OF MEDICINE

Exploration of machine learning techniques in predicting multiple sclerosis disease course

(2017) Yijun Zhao et al.   PLoS One

An update on the use of cerebrospinal fluid analysis as a diagnostic tool in multiple sclerosis

(2016) Matteo Gastaldi et al.   EXPERT REVIEW OF MOLECULAR DIAGNOSTICS

Primary progressive multiple sclerosis: current therapeutic strategies and future perspectives

(2016) Alberto Gajofatto et al.   Expert Review of Neurotherapeutics

Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study

(2016) Ekaterina Dobryakova et al.   HUMAN BRAIN MAPPING

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

(2016) Tom Brosch et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Cerebrospinal fluid biomarkers as a measure of disease activity and treatment efficacy in relapsing-remitting multiple sclerosis

(2016) Lenka Novakova et al.   JOURNAL OF NEUROCHEMISTRY

Epidemiology of Multiple Sclerosis

(2016) Jonathan Howard et al.   NEUROLOGIC CLINICS

Epidemiology of multiple sclerosis

(2016) E. Leray et al.   REVUE NEUROLOGIQUE

Primary progressive multiple sclerosis: current therapeutic strategies and future perspectives

(2016) Alberto Gajofatto et al.   Expert Review of Neurotherapeutics

3. Functional MRI in the diagnosis and prognosis of multiple sclerosis

(2015) Petr Hluštík   CLINICAL NEUROPHYSIOLOGY

Image Segmentation Methods and Applications in MRI Brain Images

(2015) Sepideh Yazdani et al.   IETE TECHNICAL REVIEW

Combined PET/MRI: Multi-modality Multi-parametric Imaging Is Here

(2015) D. L. Bailey et al.   MOLECULAR IMAGING AND BIOLOGY

Multiple sclerosis genetics

(2014) Stephen Sawcer et al.   LANCET NEUROLOGY

Environmental factors in multiple sclerosis

(2013) Alberto Ascherio   Expert Review of Neurotherapeutics

Examination of Cognitive Fatigue in Multiple Sclerosis using Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging

(2013) Helen M. Genova et al.   PLoS One

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

FreeSurfer

(2012) Bruce Fischl   NEUROIMAGE

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE

Focal sensory-motor status epilepticus in multiple sclerosis due to a new cortical lesion. An EEG–fMRI co-registration study

(2010) Elisa Gasparini et al.   SEIZURE-EUROPEAN JOURNAL OF EPILEPSY

Multiple sclerosis: Geoepidemiology, genetics and the environment

(2009) Ron Milo et al.   AUTOIMMUNITY REVIEWS

Computational anatomy with the SPM software

(2009) John Ashburner   MAGNETIC RESONANCE IMAGING

Environmental factors and multiple sclerosis

(2008) George C Ebers   LANCET NEUROLOGY

Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains

(2008) S. Bricq et al.   MEDICAL IMAGE ANALYSIS

Role of FDG-PET in the Clinical Management of Paraneoplastic Neurological Syndrome: Detection of the Underlying Malignancy and the Brain PET-MRI Correlates

(2008) Sandip Basu et al.   MOLECULAR IMAGING AND BIOLOGY