Machine learning for the diagnosis of Parkinson's disease: a review of literature
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
Single photon emission computed tomography/positron emission tomography molecular imaging for parkinsonism: A fast‐develo** field
The early differential diagnosis of Parkinson disease and atypical parkinsonism is a major
challenge. The use of single photon emission computed tomography (SPECT)/positron …
challenge. The use of single photon emission computed tomography (SPECT)/positron …
Explainable AI to improve acceptance of convolutional neural networks for automatic classification of dopamine transporter SPECT in the diagnosis of clinically …
M Nazari, A Kluge, I Apostolova, S Klutmann… - European journal of …, 2022 - Springer
Purpose Deep convolutional neural networks (CNN) provide high accuracy for automatic
classification of dopamine transporter (DAT) SPECT images. However, CNN are inherently …
classification of dopamine transporter (DAT) SPECT images. However, CNN are inherently …
Machine learning for early Parkinson's disease identification within SWEDD group using clinical and DaTSCAN SPECT imaging features
Early Parkinson's Disease (PD) diagnosis is a critical challenge in the treatment process.
Meeting this challenge allows appropriate planning for patients. However, Scan Without …
Meeting this challenge allows appropriate planning for patients. However, Scan Without …
Rest tremor in Parkinson's disease is associated with ipsilateral striatal dopamine transporter binding
KJ Niemi, J Sunikka, H Soltanian‐Zadeh… - Movement …, 2024 - Wiley Online Library
Background The cardinal motor symptoms of Parkinson's disease (PD) include rigidity,
bradykinesia, and rest tremor. Rigidity and bradykinesia correlate with contralateral …
bradykinesia, and rest tremor. Rigidity and bradykinesia correlate with contralateral …
Molecular Imaging in Parkinsonian Disorders—What's New and Hot?
Highlights Imaging of the dopamine transporter (DAT)(in particular using 11C-or 18F-PE2I)
most reliably and precisely measures neurodegeneration of the dopaminergic system in …
most reliably and precisely measures neurodegeneration of the dopaminergic system in …
Morphological characterization of functional brain imaging by isosurface analysis in Parkinson's disease
Finding new biomarkers to model Parkinson's Disease (PD) is a challenge not only to help
discerning between Healthy Control (HC) subjects and patients with potential PD but also as …
discerning between Healthy Control (HC) subjects and patients with potential PD but also as …
Temporal progression patterns of brain atrophy in corticobasal syndrome and progressive supranuclear palsy revealed by Subtype and Stage Inference (SuStaIn)
Differentiating corticobasal degeneration presenting with corticobasal syndrome (CBD-CBS)
from progressive supranuclear palsy with Richardson's syndrome (PSP-RS), particularly in …
from progressive supranuclear palsy with Richardson's syndrome (PSP-RS), particularly in …
Using artificial neural network to discriminate Parkinson's disease from other parkinsonisms by focusing on putamen of dopamine transporter SPECT images
Background: The challenge of differentiating, at an early stage, Parkinson's disease from
parkinsonism caused by other disorders remains unsolved. We proposed using an artificial …
parkinsonism caused by other disorders remains unsolved. We proposed using an artificial …
Dopaminergic imaging in degenerative parkinsonisms, an established clinical diagnostic tool
Parkinson's disease (PD) and other neurodegenerative parkinsonisms are characterised by
loss of striatal dopaminergic neurons. Dopamine functional deficits can be measured in vivo …
loss of striatal dopaminergic neurons. Dopamine functional deficits can be measured in vivo …