Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning

Use of Magnetic Resonance Imaging and Artificial Intelligence in Studies of Diagnosis of Parkinson’s Disease

(2019) Jingjing Xu et al.   ACS Chemical Neuroscience

Complex networks reveal early MRI markers of Parkinson’s disease

(2018) Nicola Amoroso et al.   MEDICAL IMAGE ANALYSIS

Differential diagnosis of parkinsonian syndromes using dopamine transporter and perfusion SPECT

(2018) Shigetoshi Takaya et al.   PARKINSONISM & RELATED DISORDERS

Machine learning studies on major brain diseases: 5-year trends of 2014–2018

(2018) Koji Sakai et al.   JAPANESE JOURNAL OF RADIOLOGY

Discriminating cognitive status in Parkinson’s disease through functional connectomics and machine learning

(2017) Alexandra Abós et al.   Scientific Reports

High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning

(2016) R. Prashanth et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Multimodal Imaging Signatures of Parkinson's Disease

(2016) F. DuBois Bowman et al.   Frontiers in Neuroscience

Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach

(2013) Rubén Armañanzas et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A novel PBL-McRBFN-RFE approach for identification of critical brain regions responsible for Parkinson’s disease

(2013) Giduthuri Sateesh Babu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatic classification and prediction models for early Parkinson’s disease diagnosis from SPECT imaging

(2013) R. Prashanth et al.   EXPERT SYSTEMS WITH APPLICATIONS

PANDA: a pipeline toolbox for analyzing brain diffusion images

(2013) Zaixu Cui et al.   Frontiers in Human Neuroscience

Automatic Classification of Early Parkinson's Disease with Multi-Modal MR Imaging

(2012) Dan Long et al.   PLoS One

Detecting damaged regions of cerebral white matter in the subacute phase after carbon monoxide poisoning using voxel-based analysis with diffusion tensor imaging

(2011) Shunrou Fujiwara et al.   NEURORADIOLOGY

Utility of the REM sleep behavior disorder screening questionnaire (RBDSQ) in Parkinson’s disease patients

(2011) Takashi Nomura et al.   SLEEP MEDICINE

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

(2009) Bjoern H Menze et al.   BMC BIOINFORMATICS

Olfactory dysfunction as a diagnostic marker for Parkinson’s disease

(2009) Antje Haehner et al.   Expert Review of Neurotherapeutics

Altered Diffusion in the Frontal Lobe in Parkinson Disease

(2008) A.T. Karagulle Kendi et al.   AMERICAN JOURNAL OF NEURORADIOLOGY