Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset

A Tagaris, D Kollias, A Stafylopatis… - … Journal on Artificial …, 2018 - World Scientific
Neurodegenerative disorders, such as Alzheimer's and Parkinson's, constitute a major factor
in long-term disability and are becoming more and more a serious concern in developed …

[HTML][HTML] Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's …

D Castillo-Barnes, J Ramírez, F Segovia… - Frontiers in …, 2018 - frontiersin.org
In last years, several approaches to develop an effective Computer-Aided-Diagnosis (CAD)
system for Parkinson's Disease (PD) have been proposed. Most of these methods have …

Parkinson's disease monitoring from gait analysis via foot-worn sensors

T Aşuroğlu, K Açıcı, ÇB Erdaş, MK Toprak… - Biocybernetics and …, 2018 - Elsevier
Abstract Background In Parkinson's disease (PD), neuronal loss in the substantia nigra
ultimate in dopaminergic denervation of the stiratum is followed by disarraying of the …

Analysis of I [123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism

D Castillo-Barnes, D Salas-Gonzalez… - 2018 IEEE Nuclear …, 2018 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a progressive neurological disorder that affects the motor
system. It is related to the destruction of pigmented neurons in the substantia nigra by …

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.

Medical image classification is currently a challenging task that can be used to aid the
diagnosis of different brain diseases. Thus, exploratory and discriminative analysis …

Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes.

Parkinsonism is the second most common neurodegenerative disease in the world. Its
diagnosis usually relies on visual analysis of Emission Computed Tomography (SPECT) …