A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images

Vital sign‐based detection of sepsis in neonates using machine learning

(2023) Antoine Honoré et al.   ACTA PAEDIATRICA

CodCAM: A new ensemble visual explanation for classification of medical thermal images

(2023) Ahmet Haydar Ornek et al.   Quantitative InfraRed Thermography Journal

A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography

(2023) Adnane Ait Nasser et al.   Diagnostics

Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review

(2023) Komalpreet Kaur et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Intelligent prognostic system for pediatric pneumonia based on sustainable IoHT

(2023) N. Sasikaladevi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Using machine learning to improve our understanding of COVID-19 infection in children

(2023) Shraddha Piparia et al.   PLoS One

Applications of Artificial Intelligence in Neonatology

(2023) Roberto Chioma et al.   Applied Sciences-Basel

A Deep Learning Model for the Diagnosis and Discrimination of Gram-Positive and Gram-Negative Bacterial Pneumonia for Children Using Chest Radiography Images and Clinical Information

(2023) Ru Wen et al.   Infection and Drug Resistance

Accurate and intelligent diagnosis of pediatric pneumonia using X-ray images and blood testing data

(2023) Dan Yao et al.   Frontiers in Bioengineering and Biotechnology

A Novel Machine-Learning-Based Hybrid CNN Model for Tumor Identification in Medical Image Processing

(2022) Gaurav Dhiman et al.   Sustainability

Predicting clinical outcomes using artificial intelligence and machine learning in neonatal intensive care units: a systematic review

(2022) Ryan M. McAdams et al.   Journal of Perinatology

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

(2022) Sirwa Padash et al.   PEDIATRIC RADIOLOGY

A Principal Neighborhood Aggregation-Based Graph Convolutional Network for Pneumonia Detection

(2022) Akram Ali Ali Guail et al.   SENSORS

A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images

(2022) Vinayakumar Ravi et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI

(2022) Ejaz Ul Haq et al.   Computational and Mathematical Methods in Medicine

Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans

(2022) Joshua Vic Chen et al.   RADIOLOGY

Neural architecture search for pneumonia diagnosis from chest X-rays

(2022) Abhibha Gupta et al.   Scientific Reports

The Use of Chest Radiographs and Machine Learning Model for the Rapid Detection of Pneumonitis in Pediatric

(2022) Khalaf Alshamrani et al.   Biomed Research International

Chest X-ray analysis empowered with deep learning: A systematic review

(2022) Dulani Meedeniya et al.   APPLIED SOFT COMPUTING

Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

(2022) Rebekah M. Leigh et al.   BMC Pediatrics

Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures

(2022) J Arun Prakash et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia

(2022) Alvaro Moreira et al.   AMERICAN JOURNAL OF PHYSIOLOGY-LUNG CELLULAR AND MOLECULAR PHYSIOLOGY

Explainable AI Enabled Infant Mortality Prediction Based on Neonatal Sepsis

(2022) Priti Shaw et al.   COMPUTER SYSTEMS SCIENCE AND ENGINEERING

Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing

(2022) Di Yuan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images

(2022) J. Arun Prakash et al.   NEURAL COMPUTING & APPLICATIONS

Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic Features

(2022) Zahra Khalilzad et al.   Diagnostics

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

Convolutional Neural Networks-Based Approach to Detect Neonatal Respiratory System Anomalies with Limited Thermal Image

(2021) Saim Ervural et al.   Traitement du Signal

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

Predicting the risk of respiratory distress in newborns with congenital pulmonary malformations

(2021) Christophe Delacourt et al.   EUROPEAN RESPIRATORY JOURNAL

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

(2021) Yiyun Chen et al.   PLoS One

The Role of Lung Function Testing in Newborn Infants With Congenital Thoracic Arterial Anomalies

(2021) Claudia Columbo et al.   Frontiers in Pediatrics

Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models

(2021) Ashwini K et al.   Frontiers in Public Health

Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset

(2021) Michael Adebisi Fayemiwo et al.   PeerJ Computer Science

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19

(2021) Nihad Karim Chowdhury et al.   PeerJ Computer Science

C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet

(2021) Murat Canayaz   CHAOS SOLITONS & FRACTALS

A lightweight deep learning architecture for the automatic detection of pneumonia using chest X-ray images

(2021) Megha Trivedi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Esophageal lung associated to isolated dextrocardia in a six-month-old infant

(2021) Malak Boughdir et al.   Journal of Pediatric Surgery Case Reports

Cross validation methods: Analysis based on diagnostics of thyroid cancer metastasis

(2021) Mariusz Rafało   ICT Express

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

(2020) Nasreen Mahomed et al.   PEDIATRIC RADIOLOGY

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

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

Neonatal sleep stage identification using long short-term memory learning system

(2020) Luay Fraiwan et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

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

Diagnosis of common pulmonary diseases in children by X-ray images and deep learning

(2020) Kai-Chi Chen et al.   Scientific Reports

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

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

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

(2020) Rachna Jain et al.   MEASUREMENT

Multi-Scale Self-Guided Attention for Medical Image Segmentation

(2020) Ashish Sinha et al.   IEEE Journal of Biomedical and Health Informatics

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment

(2020) Md Sirajus Salekin et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

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

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

(2018) Daniel S. Kermany et al.   CELL

Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network

(2018) Zhiwei Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Respiratory Distress in Neonates

(2017) Mark C. Liszewski et al.   RADIOLOGIC CLINICS OF NORTH AMERICA

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction

(2017) Hao Cheng et al.   Journal of Animal Science and Biotechnology

Pediatric Chest Radiographs: Common and Less Common Errors

(2016) Sarah J. Menashe et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Mortality risk in preterm and small-for-gestational-age infants in low-income and middle-income countries: a pooled country analysis

(2013) Joanne Katz 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