AIMC Topic: Hippocampus

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Voxel-based morphometry analysis and machine learning based classification in pediatric mesial temporal lobe epilepsy with hippocampal sclerosis.

Brain imaging and behavior Oct 1, 2020
Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is a common type of pediatric epilepsy. We sought to evaluate whether the combination of voxel-based morphometry (VBM) and support vector machine (SVM), a machine learning method, was...
Humans Machine Learning Female Male Hippocampus Gray Matter Epilepsy, Temporal Lobe Sclerosis Adolescent Child, Preschool Child Magnetic Resonance Imaging
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FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation.

Neuroinformatics Apr 1, 2020
Segmentation of medical images using multiple atlases has recently gained immense attention due to their augmented robustness against variabilities across different subjects. These atlas-based methods typically comprise of three steps: atlas selectio...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Hippocampus Neuroimaging Atlases as Topic
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Convolutional Neural Network-based MR Image Analysis for Alzheimer's Disease Classification.

Current medical imaging reviews Jan 1, 2020
BACKGROUND: In this study, we used a convolutional neural network (CNN) to classify Alzheimer's disease (AD), mild cognitive impairment (MCI), and normal control (NC) subjects based on images of the hippocampus region extracted from magnetic resonanc...
Image Interpretation, Computer-Assisted Hippocampus Datasets as Topic Cognitive Dysfunction Magnetic Resonance Imaging Brain Mapping Alzheimer Disease Humans Neural Networks, Computer Case-Control Studies
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Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning.

Neuroinformatics Oct 1, 2019
Automatic segmentation of the hippocampus from 3D magnetic resonance imaging mostly relied on multi-atlas registration methods. In this work, we exploit recent advances in deep learning to design and implement a fully automatic segmentation method, o...
Reproducibility of Results Aged Aged, 80 and over Male Machine Learning Databases, Factual Female Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Hippocampus Middle Aged Deep Learning Time Factors Humans Neural Networks, Computer
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Grid-like units help deep learning agent to navigate.

Learning & behavior Mar 1, 2019
An artificial-intelligence model based on deep learning developed units in a hidden layer that resembled mammalian grid cells in the hippocampus when the agent was taught to integrate paths. The full model performed sophisticated navigational tasks-i...
Humans Animals Deep Learning Hippocampus Grid Cells
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Alzheimer's Disease Classification Based on Multi-feature Fusion.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer's Disease (AD).
Cognitive Dysfunction Support Vector Machine Diagnosis, Differential Alzheimer Disease Hippocampus Confidence Intervals Normal Distribution Aged Sensitivity and Specificity Middle Aged Humans Atrophy Case-Control Studies Algorithms Brain
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Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.

Journal of Alzheimer's disease : JAD Jan 1, 2019
BACKGROUND: Predicting clinical course of cognitive decline can boost clinical trials' power and improve our clinical decision-making. Machine learning (ML) algorithms are specifically designed for the purpose of prediction; however. identifying opti...
Hippocampus Cerebral Cortex Apolipoproteins E Demography Predictive Value of Tests Discriminant Analysis Alzheimer Disease Male Middle Aged Cognitive Dysfunction Support Vector Machine Longitudinal Studies Magnetic Resonance Imaging Models, Neurological Humans Prognosis Machine Learning Female Aged Aged, 80 and over
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Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Calcium spiking can be used for drug screening studies in pharmaceutical industries. However, performing experiments for multiple drugs and doses are highly expensive. The oscillatory behavior of calcium spiking data demonstrates extreme nonlinearity...
Neurons Hippocampus Calcium Signaling Algorithms Neural Networks, Computer Data Science Animals Microscopy, Confocal Fluorescence Rats Drug Evaluation, Preclinical
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γ-Aminobutyric Acid Type A Receptor Potentiation Inhibits Learning in a Computational Network Model.

Anesthesiology Jul 1, 2018
BACKGROUND: Propofol produces memory impairment at concentrations well below those abolishing consciousness. Episodic memory, mediated by the hippocampus, is most sensitive. Two potentially overlapping scenarios may explain how γ-aminobutyric acid re...
Humans Hippocampus Propofol Memory Neural Networks, Computer Neuronal Plasticity Receptors, GABA-A Computer Simulation Anesthetics, Intravenous GABA-A Receptor Agonists Learning
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Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jan 5, 2017
A growing literature suggests that the hippocampus is critical for the rapid extraction of regularities from the environment. Although this fits with the known role of the hippocampus in rapid learning, it seems at odds with the idea that the hippoca...
Animals Humans Neural Networks, Computer Hippocampus Learning Memory, Episodic
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