AIMC Topic: Atrophy

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Modeling autosomal dominant Alzheimer's disease with machine learning.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 21, 2021
INTRODUCTION: Machine learning models were used to discover novel disease trajectories for autosomal dominant Alzheimer's disease.
Humans Magnetic Resonance Imaging Mutation Alzheimer Disease Aniline Compounds Positron-Emission Tomography Machine Learning Female Adult Male Amyloid Thiazoles Fluorodeoxyglucose F18 Atrophy
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Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

World neurosurgery Jan 6, 2021
BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or...
Cephalometry Female Hydrocephalus Models, Biological Skull Aged Humans Datasets as Topic Algorithms Atrophy Aged, 80 and over Neuroimaging Brain Adult Lateral Ventricles Young Adult Adolescent Retrospective Studies Cross-Sectional Studies Child, Preschool Tomography, X-Ray Computed Male Child Middle Aged Natural Language Processing Deep Learning
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Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors.

Neuroinformatics Jan 2, 2021
Brain atrophy quantification plays a fundamental role in neuroinformatics since it permits studying brain development and neurological disorders. However, the lack of a ground truth prevents testing the accuracy of longitudinal atrophy quantification...
Neural Networks, Computer Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Atrophy Humans
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Deep Learning in Toxicologic Pathology: A New Approach to Evaluate Rodent Retinal Atrophy.

Toxicologic pathology Dec 29, 2020
Quantification of retinal atrophy, caused by therapeutics and/or light, by manual measurement of retinal layers is labor intensive and time-consuming. In this study, we explored the role of deep learning (DL) in automating the assessment of retinal a...
Retina Atrophy Rodentia Retinal Degeneration Animals Deep Learning Rats Tomography, Optical Coherence
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Deep learning-based classification of retinal atrophy using fundus autofluorescence imaging.

Computers in biology and medicine Dec 28, 2020
PURPOSE: To automatically classify retinal atrophy according to its etiology, using fundus autofluorescence (FAF) images, using a deep learning model.
Humans Deep Learning Tomography, Optical Coherence Fundus Oculi Optical Imaging Fluorescein Angiography Atrophy Geographic Atrophy
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.

Alzheimer's & dementia : the journal of the Alzheimer's Association Sep 13, 2020
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging d...
Biomarkers Brain Female Aged Aged, 80 and over Young Adult Adult Male Aging Humans Machine Learning Cerebral Small Vessel Diseases Magnetic Resonance Imaging Amyloid beta-Peptides White Matter Neuropsychological Tests Middle Aged Atrophy Disease Progression Cognitive Dysfunction Image Processing, Computer-Assisted
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Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Aug 14, 2020
OBJECTIVE: Efficient prediction of the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD) is important for the early intervention and management of AD. The aim of our study was to develop a longitudinal structural magnetic res...
Humans Machine Learning Brain Prognosis Female Aged Male Middle Aged Alzheimer Disease Neuroimaging Disease Progression Atrophy Cognitive Dysfunction Longitudinal Studies Magnetic Resonance Imaging
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Fully bayesian longitudinal unsupervised learning for the assessment and visualization of AD heterogeneity and progression.

Aging Jul 9, 2020
Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's disease (AD). Understanding heterogeneity and longitudinal progression of atrophy during the disease course will play a key role in understanding AD pathoge...
Atrophy Unsupervised Machine Learning Bayes Theorem Amyloid beta-Peptides Alzheimer Disease Image Interpretation, Computer-Assisted Disease Progression Longitudinal Studies Magnetic Resonance Imaging Cluster Analysis Brain Humans Female Aged Aged, 80 and over Male
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Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video).

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association May 7, 2020
BACKGROUND: Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to gastric cancer. Recently, it was found that even after the successful eradication of H. pylori, an increased, i.e., moderate, risk of gastric cancer pe...
Color Helicobacter Infections Helicobacter pylori Feasibility Studies Image Enhancement Humans Diagnosis, Computer-Assisted Female Prospective Studies Deep Learning Aged Predictive Value of Tests Gastric Mucosa Sensitivity and Specificity Area Under Curve Atrophy Male Endoscopy, Digestive System Middle Aged
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Vestibular Nerve Atrophy After Vestibular Neuritis - Results from a Prospective High-Resolution MRI Study.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Feb 20, 2020
PURPOSE:  Sudden unilateral peripheral vestibular deficit is mostly termed vestibular neuritis (VN), even if its cause or the exact location of the lesion remains unclear. Thus, therapy is mostly symptomatic. We aimed to prove if there is peripheral ...
Vestibular Nerve Vestibular Neuronitis Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Image Enhancement Artificial Intelligence Atrophy Algorithms Ear Canal Prospective Studies
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