AIMC Topic: Hydrocephalus, Normal Pressure
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Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly.
NeuroImage. Clinical
May 24, 2019
Numerous brain disorders are associated with ventriculomegaly, including both neuro-degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the ventricular system is important for these conditions to help understand the pathog...
Automated detection of imaging features of disproportionately enlarged subarachnoid space hydrocephalus using machine learning methods.
NeuroImage. Clinical
Nov 19, 2018
OBJECTIVE: Create an automated classifier for imaging characteristics of disproportionately enlarged subarachnoid space hydrocephalus (DESH), a neuroimaging phenotype of idiopathic normal pressure hydrocephalus (iNPH).
Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome.
Journal of neuropathology and experimental neurology
Nov 1, 2024
Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation are frequently observed in the cerebral cortex of patients with idiopathic normal pressure hydrocephalus (iNPH). We created an automated analysis platfo...
Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.
IEEE journal of biomedical and health informatics
Sep 1, 2015
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for normal aging and disease progression. In this paper, we propose a patch-based tissue classification method from MR images that...
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