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Pattern Recognition and Artificial Intelligence

Data up to Jan 2025

Published2022
Citations130
References35

Total Citations Per Year

Abstract

References (35)

Very Deep Convolutional Networks for Large-Scale Image Recognition

2014 • 71,320 citations

Going deeper with convolutions

2015 • 43,071 citations

Densely Connected Convolutional Networks

2017 • 37,021 citations

Wide Residual Networks

2016 • 5,154 citations

Cyclical Learning Rates for Training Neural Networks

2017 • 2,277 citations

Spectrofluorometric studies of the lipid probe, nile red.

1985 • 916 citations

Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review

2006 • 756 citations

Dual Learning for Machine Translation

2016 • 637 citations

A Novel In Vitro Multiple-Stress Dormancy Model for Mycobacterium tuberculosis Generates a Lipid-Loaded, Drug-Tolerant, Dormant Pathogen

2009 • 416 citations

A review of sex differences in the epidemiology of tuberculosis.

1998 • 358 citations

The use of fluorescent Nile red and BODIPY for lipid measurement in microalgae

2015 • 325 citations

Toman's Tuberculosis: Case Detection, Treatment and Monitoring: Questions and Answers

2004 • 251 citations

Diagnosis of extrapulmonary tuberculosis by PCR

2012 • 177 citations

Identification of tuberculosis bacteria based on shape and color

2004 • 155 citations

A systematic review of commercial serological antibody detection tests for the diagnosis of extrapulmonary tuberculosis

2007 • 155 citations

Pastoralism and delay in diagnosis of TB in Ethiopia

2009 • 126 citations

Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods

2018 • 111 citations

Priorities for tuberculosis bacteriology services in low-income countries

2007 • 100 citations

Pharmacodynamic Modeling of Bacillary Elimination Rates and Detection of Bacterial Lipid Bodies in Sputum to Predict and Understand Outcomes in Treatment of Pulmonary Tuberculosis

2015 • 74 citations

Limited role of culture conversion for decision-making in individual patient care and for advancing novel regimens to confirmatory clinical trials

2016 • 73 citations

Automated identification of tubercle bacilli in sputum. A preliminary investigation.

1999 • 63 citations

Towards Automated Tuberculosis detection using Deep Learning

2018 • 59 citations

Automatic identification of mycobacterium tuberculosis from ZN-stained sputum smear: Algorithm and system design

2010 • 49 citations

Detection and Quantification of Bacilli and Clusters Present in Sputum Smear Samples: A Novel Algorithm for Pulmonary Tuberculosis Diagnosis

2009 • 44 citations

A New Look at Filtering Techniques for Illumination Invariance in Automatic Face Recognition

2006 • 26 citations

High Sensitivity and Specificity of Acid-Fast Microscopy for Diagnosis of Pulmonary Tuberculosis in an African Population with a High Prevalence of Human Immunodeficiency Virus

2009 • 25 citations

Simultaneous staining of sputum smears for acid-fast and lipid-containing Myobacterium tuberculosis can enhance the clinical evaluation of antituberculosis treatments

2015 • 25 citations

Label-free optical vibrational spectroscopy to detect the metabolic state of M. tuberculosis cells at the site of disease

2017 • 21 citations

Tuberculosis Bacteria Detection and Counting in Fluorescence Microscopy Images Using a Multi-Stage Deep Learning Pipeline

2022 • 20 citations

Optimized maximum principal curvatures based segmentation of blood vessels from retinal images

2019 • 15 citations

Computer-Assisted Microscopy

2009 • 12 citations

Centrifugation and decontamination procedures selectively impair recovery of important populations in Mycobacterium smegmatis

2018 • 9 citations

Whole Slide Pathology Image Patch Based Deep Classification: An Investigation of the Effects of the Latent Autoencoder Representation and the Loss Function Form

2021 • 8 citations

Tuberculosis and poverty

2009 • 4 citations

Nuances of Interpreting X-ray Analysis by Deep Learning and Lessons for Reporting Experimental Findings

2022 • 4 citations

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