AIMC Topic: Eye

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Detection of eye contact with deep neural networks is as accurate as human experts.

Nature communications Dec 14, 2020
Eye contact is among the most primary means of social communication used by humans. Quantification of eye contact is valuable as a part of the analysis of social roles and communication skills, and for clinical screening. Estimating a subject's looki...
Machine Learning Autism Spectrum Disorder Female Communication Humans Neural Networks, Computer Child, Preschool Models, Theoretical Hand Eye Male Infant Deep Learning
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Mitigation of ocular artifacts for EEG signal using improved earth worm optimization-based neural network and lifting wavelet transform.

Computer methods in biomechanics and biomedical engineering Nov 27, 2020
An Electroencephalogram (EEG) is often tarnished by various categories of artifacts. Numerous efforts have been taken to improve its quality by eliminating the artifacts. The EEG involves the biological artifacts (ocular artifacts, ECG and EMG artifa...
Algorithms Lifting Electroencephalography Signal Processing, Computer-Assisted Entropy Eye Artifacts Wavelet Analysis Humans Neural Networks, Computer
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Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine.

Journal of medical Internet research Aug 17, 2020
BACKGROUND: Rapid access to evidence is crucial in times of an evolving clinical crisis. To that end, we propose a novel approach to answer clinical queries, termed rapid meta-analysis (RMA). Unlike traditional meta-analysis, RMA balances a quick tim...
Eye Diseases Eye Pneumonia, Viral Hydroxychloroquine Meta-Analysis as Topic Coronavirus Infections COVID-19 Drug Treatment Humans COVID-19 Time Factors Artificial Intelligence Pandemics
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Text Processing for Detection of Fungal Ocular Involvement in Critical Care Patients: Cross-Sectional Study.

Journal of medical Internet research Aug 14, 2020
BACKGROUND: Fungal ocular involvement can develop in patients with fungal bloodstream infections and can be vision-threatening. Ocular involvement has become less common in the current era of improved antifungal therapies. Retrospectively determining...
Risk Factors Cross-Sectional Studies Male Middle Aged Humans Retrospective Studies Female Eye Natural Language Processing Endophthalmitis Mycoses Critical Care
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The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields.

Scientific reports May 12, 2020
The aim of the study was to investigate the usefulness of processing visual field (VF) using a variational autoencoder (VAE). The training data consisted of 82,433 VFs from 16,836 eyes. Testing dataset 1 consisted of test-retest VFs from 104 eyes wit...
Eye Glaucoma, Open-Angle Deep Learning Visual Fields Linear Models Visual Field Tests Male Middle Aged Disease Progression Humans Female Sensitivity and Specificity Intraocular Pressure Reproducibility of Results Adult
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Cellular and Molecular Probing of Intact Human Organs.

Cell Feb 13, 2020
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues in 3D. Adult human organs are particularly challenging to render transparent because of the accumulation of dense and sturdy molecules in decades-age...
Aged, 80 and over Animals Male Deep Learning Thyroid Gland Middle Aged Swine Humans Brain Female Eye Kidney Limit of Detection Pancreas Optical Imaging Imaging, Three-Dimensional Mice Staining and Labeling
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Ophthalmic diagnosis using deep learning with fundus images - A critical review.

Artificial intelligence in medicine Nov 22, 2019
An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus images is presented. We describe various retinal image datasets that can be used for deep learning purposes. Applications of deep learning for segmentation...
Eye Image Interpretation, Computer-Assisted Eye Diseases Diagnostic Techniques, Ophthalmological Humans Deep Learning Ophthalmology Fundus Oculi
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Robust and Accurate Hand-Eye Calibration Method Based on Schur Matric Decomposition.

Sensors (Basel, Switzerland) Oct 16, 2019
To improve the accuracy and robustness of hand-eye calibration, a hand-eye calibration method based on Schur matric decomposition is proposed in this paper. The accuracy of these methods strongly depends on the quality of observation data. Therefore,...
Image Processing, Computer-Assisted Models, Theoretical Robotics Hand Humans Algorithms Calibration Eye Ocular Physiological Phenomena
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Predicting gene regulatory interactions based on spatial gene expression data and deep learning.

PLoS computational biology Sep 17, 2019
Reverse engineering of gene regulatory networks (GRNs) is a central task in systems biology. Most of the existing methods for GRN inference rely on gene co-expression analysis or TF-target binding information, where the determination of co-expression...
Eye Animals Gene Expression Profiling Deep Learning Databases, Genetic Drosophila Gene Regulatory Networks Computational Biology
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Hyper-reflective foci segmentation in SD-OCT retinal images with diabetic retinopathy using deep convolutional neural networks.

Medical physics Aug 22, 2019
PURPOSE: The purpose of this study was to automatically and accurately segment hyper-reflective foci (HRF) in spectral domain optical coherence tomography (SD-OCT) images with diabetic retinopathy (DR) using deep convolutional neural networks.
Image Processing, Computer-Assisted Tomography, Optical Coherence Humans Eye Diabetic Retinopathy Deep Learning
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