AIMC Topic: Cerebellar Diseases

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A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.

NeuroImage May 21, 2018
Deep neural networks are increasingly being used in both supervised learning for classification tasks and unsupervised learning to derive complex patterns from the input data. However, the successful implementation of deep neural networks using neuro...
Humans Neural Networks, Computer Infant, Newborn Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Cerebellum Pattern Recognition, Automated Neuroimaging Heart Defects, Congenital Cerebellar Diseases
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Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification.

Movement disorders : official journal of the Movement Disorder Society Oct 1, 2016
BACKGROUND: Clinical differentiation of parkinsonian syndromes is still challenging.
Humans Brain Support Vector Machine Magnetic Resonance Imaging Parkinsonian Disorders Cerebellar Diseases Multiple System Atrophy Supranuclear Palsy, Progressive
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