Ensembles of Convolutional Neural Network models for pediatric pneumonia diagnosis

Automatic Lung Segmentation on Chest X-rays Using Self-Attention Deep Neural Network

(2021) Minki Kim et al.   SENSORS

Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study

(2021) Wanfa Dai et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective

(2021) Mohamed Elgendi et al.   Frontiers in Medicine

Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks

(2020) David Bermejo-Peláez et al.   Scientific Reports

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm

(2020) Alejandro Martín et al.   APPLIED SOFT COMPUTING

Usefulness of Machine-Learning-Based Detection and Classification of Cardiac Arrhythmias with 12-Lead Electrocardiograms

(2020) Kuan-Cheng Chang et al.   CANADIAN JOURNAL OF CARDIOLOGY

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

(2020) Lin Li et al.   RADIOLOGY

Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs

(2020) Jocelyn Zhu et al.   PLoS One

A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network

(2020) Abdullah-Al Nahid et al.   SENSORS

Comparison and Validation of Deep Learning Models for the Diagnosis of Pneumonia

(2020) Zhenjia Yue et al.   Computational Intelligence and Neuroscience

PadChest: A large chest x-ray image dataset with multi-label annotated reports

(2020) Aurelia Bustos et al.   MEDICAL IMAGE ANALYSIS

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Conformance Checking for Time-Series-Aware Processes

(2020) Victor Rodriguez-Fernandez et al.   IEEE Transactions on Industrial Informatics

An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare

(2019) Okeke Stephen et al.   Journal of Healthcare Engineering

Combination of clinical symptoms and blood biomarkers can improve discrimination between bacterial or viral community-acquired pneumonia in children

(2019) Mejbah U. Bhuiyan et al.   BMC Pulmonary Medicine

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database

(2019) Ilyas Sirazitdinov et al.   COMPUTERS & ELECTRICAL ENGINEERING

Hydra: An Ensemble of Convolutional Neural Networks for Geospatial Land Classification

(2019) Rodrigo Minetto et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation

(2018) Alejandro Martín et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

Community-Acquired Pneumonia in Children: the Challenges of Microbiological Diagnosis

(2017) C. M. C. Rodrigues et al.   JOURNAL OF CLINICAL MICROBIOLOGY

Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis

(2017) Stergios Christodoulidis et al.   IEEE Journal of Biomedical and Health Informatics

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pneumonia

(2016) Amy E. Thompson   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

Community-acquired pneumonia

(2015) Elena Prina et al.   LANCET

Deep learning

(2015) Yann LeCun et al.   NATURE

Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]

(2014) Erik Cambria et al.   IEEE Computational Intelligence Magazine

The need to look at antibiotic resistance from a health systems perspective

(2014) Göran Tomson et al.   UPSALA JOURNAL OF MEDICAL SCIENCES

Ensemble Methods: Foundations and Algorithms [Book Review]

(2013) Friedhelm Schwenker   IEEE Computational Intelligence Magazine

The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics

(2013) Qiong Wei et al.   PLoS One

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Viral pneumonia

(2011) Olli Ruuskanen et al.   LANCET

Advances in Imaging Chest Tuberculosis: Blurring of Differences Between Children and Adults

(2009) Savvas Andronikou et al.   CLINICS IN CHEST MEDICINE