Search Results - "Iriya, Rafael"
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Noncontact Monitoring of Blood Oxygen Saturation Using Camera and Dual-Wavelength Imaging System
Published in IEEE transactions on biomedical engineering (01-06-2016)“…We present a noncontact method to monitor blood oxygen saturation (SpO 2 ). The method uses a CMOS camera with a trigger control to allow recording of…”
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Deep Learning-Based Culture-Free Bacteria Detection in Urine Using Large-Volume Microscopy
Published in Biosensors (Basel) (01-02-2024)“…Bacterial infections, increasingly resistant to common antibiotics, pose a global health challenge. Traditional diagnostics often depend on slow cell…”
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Antimicrobial Susceptibility Test with Plasmonic Imaging and Tracking of Single Bacterial Motions on Nanometer Scale
Published in ACS nano (26-01-2016)“…Antimicrobial susceptibility tests (ASTs) are important for confirming susceptibility to empirical antibiotics and detecting resistance in bacterial isolates…”
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Phenotypic Antimicrobial Susceptibility Testing with Deep Learning Video Microscopy
Published in Analytical chemistry (Washington) (15-05-2018)“…Timely determination of antimicrobial susceptibility for a bacterial infection enables precision prescription, shortens treatment time, and helps minimize the…”
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5
Current and emerging techniques for antibiotic susceptibility tests
Published in Theranostics (01-01-2017)“…Infectious diseases caused by bacterial pathogens are a worldwide burden. Serious bacterial infection-related complications, such as sepsis, affect over a…”
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Rapid Antimicrobial Susceptibility Testing of Patient Urine Samples Using Large Volume Free-Solution Light Scattering Microscopy
Published in Analytical chemistry (Washington) (06-08-2019)“…The emergence of antibiotic resistance has prompted the development of rapid antimicrobial susceptibility testing (AST) technologies that will enable…”
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Direct Antimicrobial Susceptibility Testing on Clinical Urine Samples by Optical Tracking of Single Cell Division Events
Published in Small (Weinheim an der Bergstrasse, Germany) (01-12-2020)“…With the increasing prevalence of antibiotic resistance, the need to develop antimicrobial susceptibility testing (AST) technologies is urgent. The current…”
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Computer Vision Methods for Urinary Tract Infection Diagnostics
Published 01-01-2020“…Antibiotic resistance is a very important issue that threatens mankind. As bacteria are becoming resistant to multiple antibiotics, many common antibiotics…”
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Dissertation -
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Rapid Antibiotic Susceptibility Testing Based on Bacterial Motion Patterns With Long Short- Term Memory Neural Networks
Published in IEEE sensors journal (01-05-2020)“…Antibiotic resistance is an increasing public health threat. To combat it, a fast method to determine the antibiotic susceptibility of infecting pathogens is…”
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Real-time detection of antibiotic activity by measuring nanometer-scale bacterial deformation
Published in Journal of biomedical optics (01-12-2017)“…Diagnosing antibiotic-resistant bacteria currently requires sensitive detection of phenotypic changes associated with antibiotic action on bacteria. Here, we…”
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Correction to “Phenotypic Antimicrobial Susceptibility Testing with Deep Learning Video Microscope”
Published in Analytical chemistry (Washington) (19-06-2018)Get full text
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Skin Mechanical Properties and Hydration Measured With Mobile Phone Camera
Published in IEEE sensors journal (01-02-2016)“…Dehydration is known to lead to serious health conditions and diseases, and a convenient way to check one's hydration level may help reduce risk of…”
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Rafael et al., 2018: Deep Learning-Based Culture-Free Bacteria Detection in Urine Using Large-Volume Microscopy (Dataset)
Published 05-02-2024“…Dataset containing 1um polystyrene beads, urine samples, urine samples mixed with ecoli and homogenous ecoli. Dataset is the post-processing version of the…”
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Data Set -
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Gaussian mixture models with class-dependent features for speech emotion recognition
Published in 2014 IEEE Workshop on Statistical Signal Processing (SSP) (01-06-2014)“…In this paper, we propose models for emotion recognition from speech based on class-dependent features and Gaussian mixture models (GMM). Seven emotions are…”
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Conference Proceeding