Citation Impact
Citing Papers
Google Earth Engine: A Global Analysis and Future Trends
2023 Standout
Bibliometric analysis of 100 top cited articles of heart failure–associated diseases in combination with machine learning
2023
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
2023 Standout
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
2021 Standout
Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
2018
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
2018 Standout
Deep into the Brain: Artificial Intelligence in Stroke Imaging
2017
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
2021 Standout
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
2020 Standout
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
2018
Convolutional neural networks: an overview and application in radiology
2018 Standout
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
2018 Standout
Artificial Intelligence in Radiation Therapy
2021
Big data and machine learning algorithms for health-care delivery
2019 Standout
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
2017 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Artificial intelligence in drug development: present status and future prospects
2018 Standout
Automated detection of COVID-19 cases using deep neural networks with X-ray images
2020 Standout
Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States
2018
Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice
2019
Deep learning for healthcare applications based on physiological signals: A review
2018
Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study
2019
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in radiology
2018 Standout
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
2020
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
A Bibliometric Analysis of Heart Disease Detection using Artificial Intelligence Techniques: Trends, Influential Works, and Research Gaps
2023 Standout
Deep Learning in Selected Cancers’ Image Analysis—A Survey
2020
Artificial intelligence in drug discovery and development
2020 Standout
Artificial Intelligence as Augmenting Automation: Implications for Employment
2020 Standout
Algorithms at Work: The New Contested Terrain of Control
2019 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Current Applications and Future Impact of Machine Learning in Radiology
2018
Applications of Artificial Intelligence in Ophthalmology: General Overview
2018
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
2022 Standout
Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures
2018
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
2018 Standout
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
2019
An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
2020 Standout
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information
2015
Artificial intelligence for precision education in radiology
2019 Standout
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
Convolutional neural network improvement for breast cancer classification
2018
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
Artificial Intelligence and Patient-Centered Decision-Making
2020
Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation
2020 Standout
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
2021 Standout
Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?
2020
Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy
2021
Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
2019
Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography
2019
Deep learning for time series classification: a review
2019 Standout
Deep Learning for Intelligent Human–Computer Interaction
2022 Standout
Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine
2018
Works of June‐Goo Lee being referenced
A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography
2011
CycleMorph: Cycle consistent unsupervised deformable image registration
2021
Deep Learning in Medical Imaging: General Overview
2017
Deep Learning–based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses
2019