Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review

Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays

(2021) Nilanjan Dey et al.   PATTERN RECOGNITION LETTERS

A Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning Algorithm

(2021) Mehedi Masud et al.   Journal of Healthcare Engineering

Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images

(2021) Mohammad Salehi et al.   BRITISH JOURNAL OF RADIOLOGY

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis

(2021) Franko Hržić et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Could automated analysis of chest X-rays detect early bronchiectasis in children?

(2021) Alys R. Clark et al.   EUROPEAN JOURNAL OF PEDIATRICS

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence

(2021) Kicky G. van Leeuwen et al.   EUROPEAN RADIOLOGY

A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system

(2021) João Victor S. das Chagas et al.   Journal of Real-Time Image Processing

Ensembles of Convolutional Neural Network models for pediatric pneumonia diagnosis

(2021) Helena Liz et al.   Future Generation Computer Systems-The International Journal of eScience

Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning

(2021) Robert D. E. Henderson et al.   JOURNAL OF DIGITAL IMAGING

Deep learning for chest X-ray analysis: A survey

(2021) Erdi Çallı et al.   MEDICAL IMAGE ANALYSIS

Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology

(2021) Yiyun Chen et al.   PLoS One

Radiology “forensics”: determination of age and sex from chest radiographs using deep learning

(2021) Paul H. Yi et al.   Emergency Radiology

Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children

(2020) Nasreen Mahomed et al.   PEDIATRIC RADIOLOGY

Preparing Medical Imaging Data for Machine Learning

(2020) Martin J. Willemink et al.   RADIOLOGY

Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images

(2020) Ansh Mittal et al.   SENSORS

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

(2020) Ana Rakita et al.   Scientific Reports

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

(2020) Vikash Chouhan et al.   Applied Sciences-Basel

Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning–Based Analysis of Chest Radiographs

(2020) Shuhei Toba et al.   JAMA Cardiology

A Transfer Learning Method for Pneumonia Classification and Visualization

(2020) Juan Eduardo Luján-García et al.   Applied Sciences-Basel

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

(2020) Tawsifur Rahman et al.   Applied Sciences-Basel

Artificial Intelligence Solutions for Analysis of X-ray Images

(2020) Scott J. Adams et al.   CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES

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

(2020) Abdullah-Al Nahid et al.   SENSORS

Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning

(2020) Mohammad Farukh Hashmi et al.   Diagnostics

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

(2020) Mohammad Hosein Rezazade Mehrizi et al.   EUROPEAN RADIOLOGY

Detection of pneumonia in chest X‐ray images by using 2D discrete wavelet feature extraction with random forest

(2020) Abdurrahim Akgundogdu   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging

(2020) Wendi Qu et al.   International Journal of Computer Assisted Radiology and Surgery

Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome

(2020) Narathip Reamaroon et al.   BMC MEDICAL IMAGING

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

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

A scoping review of transfer learning research on medical image analysis using ImageNet

(2020) Mohammad Amin Morid et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia

(2020) Xiang Yu et al.   INFORMATION PROCESSING & MANAGEMENT

Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning

(2020) Rachna Jain et al.   MEASUREMENT

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

(2020) Aurelia Bustos et al.   MEDICAL IMAGE ANALYSIS

Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists

(2020) Alexey Tolkachev et al.   IEEE Journal of Biomedical and Health Informatics

An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare

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

Machine learning concepts, concerns and opportunities for a pediatric radiologist

(2019) Michael M. Moore et al.   PEDIATRIC RADIOLOGY

Tackling the Radiological Society of North America Pneumonia Detection Challenge

(2019) Ian Pan et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis

(2019) Evan J. Zucker et al.   Journal of Cystic Fibrosis

Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs

(2019) Tae Kyung Kim et al.   JOURNAL OF DIGITAL IMAGING

Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data

(2019) X. Yi et al.   JOURNAL OF DIGITAL IMAGING

A transfer learning method with deep residual network for pediatric pneumonia diagnosis

(2019) Gaobo Liang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Using deep‐learning techniques for pulmonary‐thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs

(2019) Longjiang E et al.   PEDIATRIC PULMONOLOGY

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images

(2019) Hamed Behzadi-khormouji et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning

(2019) Awais Mansoor et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

(2018) An Tang et al.   CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES

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

(2018) Daniel S. Kermany et al.   CELL

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies

(2018) Matthew D. F. McInnes et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Ensemble learning: A survey

(2018) Omer Sagi et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Computer-aided detection in chest radiography based on artificial intelligence: a survey

(2018) Chunli Qin et al.   Biomedical Engineering Online

Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

(2018) Sivaramakrishnan Rajaraman et al.   Applied Sciences-Basel

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

(2017) Sabri Boughorbel et al.   PLoS One

Approach to Pediatric Chest Radiograph

(2016) Manisha Jana et al.   INDIAN JOURNAL OF PEDIATRICS

STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

(2016) Jérémie F Cohen et al.   BMJ Open

Computer-aided detection system for chest radiography: reducing report turnaround times of examinations with abnormalities

(2015) E-Fong Kao et al.   ACTA RADIOLOGICA

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) G. S. Collins et al.   CIRCULATION

Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs

(2014) Nesrine Zaglam et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Global burden of childhood pneumonia and diarrhoea

(2013) Christa L Fischer Walker et al.   LANCET

Global, regional, and national causes of child mortality in 2008: a systematic analysis

(2010) Robert E Black et al.   LANCET

Computer-aided diagnosis in chest radiography for detection of childhood pneumonia

(2008) Leandro Luís Galdino Oliveira et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS