Related references
Note: Only part of the references are listed.Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
Jie Mei et al.
FRONTIERS IN AGING NEUROSCIENCE (2021)
Clinical utility of DaTscan in patients with suspected Parkinsonian syndrome: a systematic review and meta-analysis
Danny Bega et al.
NPJ PARKINSONS DISEASE (2021)
The Role of Neural Network for the Detection of Parkinson's Disease: A Scoping Review
Mahmood Saleh Alzubaidi et al.
HEALTHCARE (2021)
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery
Pavan Rajkumar Magesh et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Potential of animal models for advancing the understanding and treatment of pain in Parkinson's disease
Yazead Buhidma et al.
NPJ PARKINSONS DISEASE (2020)
A novel semi-supervised multi-view clustering framework for screening Parkinson's disease
Xiaobo Zhang et al.
MATHEMATICAL BIOSCIENCES AND ENGINEERING (2020)
Integrative analysis of blood metabolomics and PET brain neuroimaging data for Parkinson's disease
Enrico Glaab et al.
NEUROBIOLOGY OF DISEASE (2019)
Use of Overlapping Group LASSO Sparse Deep Belief Network to Discriminate Parkinson's Disease and Normal Control
Ting Shen et al.
FRONTIERS IN NEUROSCIENCE (2019)
Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study
Shigeru Kiryu et al.
EUROPEAN RADIOLOGY (2019)
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis et al.
RADIOLOGY (2019)
Use of radiomic features and support vector machine to distinguish Parkinson's disease cases from normal controls
Yue Wu et al.
ANNALS OF TRANSLATIONAL MEDICINE (2019)
Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [123I]FP-CIT SPECT images
Francisco P. M. Oliveira et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
Determination of Imaging Biomarkers to Decipher Disease Trajectories and Differential Diagnosis of Neurodegenerative Diseases (DIsease TreND)
Gurpreet Singh et al.
JOURNAL OF NEUROSCIENCE METHODS (2018)
Complex networks reveal early MRI markers of Parkinson's disease
Nicola Amoroso et al.
MEDICAL IMAGE ANALYSIS (2018)
Computer-aided diagnosis for (123I)FP-CIT imaging: impact on clinical reporting
Jonathan Christopher Taylor et al.
EJNMMI RESEARCH (2018)
Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis
Haijun Lei et al.
MACHINE LEARNING IN MEDICAL IMAGING: 9TH INTERNATIONAL WORKSHOP, MLMI 2018 (2018)
Differentiating Patients with Parkinson's Disease from Normal Controls Using Gray Matter in the Cerebellum
Ling-Li Zeng et al.
CEREBELLUM (2017)
Substantia nigra fractional anisotropy is not a diagnostic biomarker of Parkinson's disease: A diagnostic performance study and meta-analysis
Fabiana C. C. Hirata et al.
EUROPEAN RADIOLOGY (2017)
Machine Learning Interface for Medical Image Analysis
Yi C. Zhang et al.
JOURNAL OF DIGITAL IMAGING (2017)
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning
Haijun Lei et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
On the Integrity of Functional Brain Networks in Schizophrenia, Parkinson's Disease, and Advanced Age: Evidence from Connectivity-Based Single-Subject Classification
Rachel N. Plaeschke et al.
HUMAN BRAIN MAPPING (2017)
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning
Zhengxia Wang et al.
MEDICAL IMAGE ANALYSIS (2017)
A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson's disease
Bo Peng et al.
NEUROSCIENCE LETTERS (2017)
Identifying the presence of Parkinson's disease using low-frequency fluctuations in BOLD signals
Yan Tang et al.
NEUROSCIENCE LETTERS (2017)
Exploring the reproducibility of functional connectivity alterations in Parkinson's disease
Liviu Badea et al.
PLOS ONE (2017)
Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution
Fermin Segovia et al.
FRONTIERS IN AGING NEUROSCIENCE (2017)
High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging
R. Prashanth et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism
Fermin Segovia et al.
FRONTIERS IN NEUROINFORMATICS (2017)
Neuroimaging in pre-motor Parkinson's disease
Thomas R. Barber et al.
NEUROIMAGE-CLINICAL (2017)
Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging
Hongyoon Choi et al.
NEUROIMAGE-CLINICAL (2017)
Exploring Break's Hypothesis of Parkinson's Disease
Carmen D. Rietdijk et al.
FRONTIERS IN NEUROLOGY (2017)
Deep into the Brain: Artificial Intelligence in Stroke Imaging
Eun-Jae Lee et al.
JOURNAL OF STROKE (2017)
Clinical utility and research frontiers of neuroimaging in movement disorders
Flavio Nobili et al.
QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2017)
Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?
Jonathan Christopher Taylor et al.
EJNMMI PHYSICS (2017)
Combined Diffusion Tensor Imaging and Apparent Transverse Relaxation Rate Differentiate Parkinson Disease and Atypical Parkinsonism
G. Du et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2017)
High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning
R. Prashanth et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2016)
Nigral and Striatal Connectivity Alterations in Asymptomatic LRRK2 Mutation Carriers: A Magnetic Resonance Imaging Study
Dolores Vilas et al.
MOVEMENT DISORDERS (2016)
Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification
Hans-Jurgen Huppertz et al.
MOVEMENT DISORDERS (2016)
Advances in markers of prodromal Parkinson disease
Ronald B. Postuma et al.
NATURE REVIEWS NEUROLOGY (2016)
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data
Ehsan Adeli et al.
NEUROIMAGE (2016)
Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease
Ludovica Griffanti et al.
NEUROIMAGE (2016)
Accuracy of clinical diagnosis of Parkinson disease A systematic review and meta-analysis
Giovanni Rizzo et al.
NEUROLOGY (2016)
Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease
Quanquan Gu et al.
JOURNAL OF PARKINSONS DISEASE (2016)
Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations
Ivo D. Dinov et al.
PLOS ONE (2016)
Computer-Aided Diagnosis of Parkinson's Disease Using Enhanced Probabilistic Neural Network
Thomas J. Hirschauer et al.
JOURNAL OF MEDICAL SYSTEMS (2015)
Computer-aided diagnosis of Parkinson's disease based on [123I]FP-CIT SPECT binding potential images, using the voxels-as-features approach and support vector machines
Francisco P. M. Oliveira et al.
JOURNAL OF NEURAL ENGINEERING (2015)
Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease
Gurpreet Singh et al.
JOURNAL OF NEUROSCIENCE METHODS (2015)
Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis
Federico Nemmi et al.
NEUROBIOLOGY OF AGING (2015)
Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks
Fermín Segovia et al.
Frontiers in Computational Neuroscience (2015)
Machine learning models for the differential diagnosis of vascular parkinsonism and Parkinson's disease using [I-123]FP-CIT SPECT
I. Huertas-Fernandez et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2015)
Patterns of Cortical Thinning in Idiopathic Rapid Eye Movement Sleep Behavior Disorder
Shady Rahayel et al.
MOVEMENT DISORDERS (2015)
Reorganization of corticostriatal circuits in healthy G2019S LRRK2 carriers
Rick C. Helmich et al.
NEUROLOGY (2015)
Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging
R. Prashanth et al.
EXPERT SYSTEMS WITH APPLICATIONS (2014)
Comprehensive Morphometry of Subcortical Grey Matter Structures in Early-Stage Parkinson's Disease
Ricarda A. L. Menke et al.
HUMAN BRAIN MAPPING (2014)
Progression of Brain Atrophy in the Early Stages of Parkinson's Disease: A Longitudinal Tensor-Based Morphometry Study in De Novo Patients Without Cognitive Impairment
Carlo Tessa et al.
HUMAN BRAIN MAPPING (2014)
REM sleep behaviour disorder is associated with worse quality of life and other non-motor features in early Parkinson's disease
Michal Rolinski et al.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2014)
Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy
C. Salvatore et al.
JOURNAL OF NEUROSCIENCE METHODS (2014)
Magnetic resonance support vector machine discriminates between Parkinson disease and progressive supranuclear palsy
Andrea Cherubini et al.
MOVEMENT DISORDERS (2014)
Reduced functional connectivity in early-stage drug-naive Parkinson's disease: a resting-state fMRI study
ChunYan Luo et al.
NEUROBIOLOGY OF AGING (2014)
Parametrization of textural patterns in I-123-ioflupane imaging for the automatic detection of Parkinsonism
F. J. Martinez-Murcia et al.
MEDICAL PHYSICS (2014)
Diagnostic Accuracy of Parkinson Disease by Support Vector Machine (SVM) Analysis of 123I-FP-CIT Brain SPECT Data
Barbara Palumbo et al.
MEDICINE (2014)
Low clinical diagnostic accuracy of early vs advanced Parkinson disease Clinicopathologic study
Charles H. Adler et al.
NEUROLOGY (2014)
Functional connectivity in the basal ganglia network differentiates PD patients from controls
Konrad Szewczyk-Krolikowski et al.
NEUROLOGY (2014)
Distinguishing Patients with Parkinson's Disease Subtypes from Normal Controls Based on Functional Network Regional Efficiencies
Delong Zhang et al.
PLOS ONE (2014)
Differentiation between Parkinson disease and other forms of Parkinsonism using support vector machine analysis of susceptibility-weighted imaging (SWI): initial results
S. Haller et al.
EUROPEAN RADIOLOGY (2013)
Striatal shape in Parkinson's disease
Nicholas W. Sterling et al.
NEUROBIOLOGY OF AGING (2013)
Reliability analysis of the resting state can sensitively and specifically identify the presence of Parkinson disease
F. M. Skidmore et al.
NEUROIMAGE (2013)
Diffusion tensor imaging of nigral degeneration in Parkinson's disease: A region-of-interest and voxel-based study at 3T and systematic review with meta-analysis
Stefan T. Schwarz et al.
NEUROIMAGE-CLINICAL (2013)
Individual Detection of Patients with Parkinson Disease using Support Vector Machine Analysis of Diffusion Tensor Imaging Data: Initial Results
S. Haller et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2012)
Resting state functional connectivity of the striatum in Parkinson's disease
Carl D. Hacker et al.
BRAIN (2012)
Improved Parkinsonism diagnosis using a partial least squares based approach
F. Segovia et al.
MEDICAL PHYSICS (2012)
Automatic assistance to Parkinson's disease diagnosis in DaTSCAN SPECT imaging
I. A. Illan et al.
MEDICAL PHYSICS (2012)
Basal ganglia circuits changes in Parkinson's disease patients
Tao Wu et al.
NEUROSCIENCE LETTERS (2012)
Automatic Classification of Early Parkinson's Disease with Multi-Modal MR Imaging
Dan Long et al.
PLOS ONE (2012)
White and Gray Matter Abnormalities in Idiopathic Rapid Eye Movement Sleep Behavior Disorder: A Diffusion-Tensor Imaging and Voxel-Based Morphometry Study
Christoph Scherfler et al.
ANNALS OF NEUROLOGY (2011)
Age-Specific Progression of Nigrostriatal Dysfunction in Parkinson's Disease
Raul de la Fuente-Fernandez et al.
ANNALS OF NEUROLOGY (2011)
Functional Connectivity of Cortical Motor Areas in the Resting State in Parkinson's Disease
Tao Wu et al.
HUMAN BRAIN MAPPING (2011)
Individual Voxel-Based Subtype Prediction can Differentiate Progressive Supranuclear Palsy from Idiopathic Parkinson Syndrome and Healthy Controls
Niels K. Focke et al.
HUMAN BRAIN MAPPING (2011)
The Parkinson Progression Marker Initiative (PPMI)
Kenneth Marek et al.
PROGRESS IN NEUROBIOLOGY (2011)
Spatial Remapping of Cortico-striatal Connectivity in Parkinson's Disease
Rick C. Helmich et al.
CEREBRAL CORTEX (2010)
Comparison of two neural network classifiers in the differential diagnosis of essential tremor and Parkinson's disease by 123I-FP-CIT brain SPECT
Barbara Palumbo et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2010)
Diffusion Tensor Imaging in Idiopathic REM Sleep Behavior Disorder Reveals Microstructural Changes in the Brainstem, Substantia Nigra, Olfactory Region, and Other Brain Regions
Marcus M. Unger et al.
SLEEP (2010)
Automated Computer Differential Classification in Parkinsonian Syndromes via Pattern Analysis on MRI
Simon Duchesne et al.
ACADEMIC RADIOLOGY (2009)
A magnetic resonance imaging study of patients with Parkinson's disease with mild cognitive impairment and dementia using voxel-based morphometry
Mona K. Beyer et al.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2007)
Discrimination between parkinsonian syndrome and essential tremor using artificial neural network classification of quantified DaTSCAN data
David Hamilton et al.
NUCLEAR MEDICINE COMMUNICATIONS (2006)
Artificial neural network classifier for the diagnosis of Parkinson's disease using [99mTc] TRODAT-1 and SPECT
Paul D. Acton et al.
PHYSICS IN MEDICINE AND BIOLOGY (2006)
The accuracy of diagnosis of parkinsonian syndromes in a specialist movement disorder service
AJ Hughes et al.
BRAIN (2002)
Share Paper
