Citation Impact
Citing Papers
Developments and Applications of Artificial Intelligence in Music Education
2023 Standout
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
2023 Standout
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
2019
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
2018
AI in health and medicine
2022 Standout
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
2018 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
How far have we come? Artificial intelligence for chest radiograph interpretation
2019
Current applications and future directions of deep learning in musculoskeletal radiology
2019
Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States
2018
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study
2018
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
2020 Standout
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
A review on genetic algorithm: past, present, and future
2020 Standout
Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network
2019
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Soft computing approaches for image segmentation: a survey
2018
Artificial Intelligence Technology Assisted Music Teaching Design
2021
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
2019
Adaptive Local Window for Level Set Segmentation of CT and MRI Liver\nLesions
2017
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
2018 Standout
Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI
2020
Artificial Intelligence in Dentistry: Chances and Challenges
2020 Standout
Artificial intelligence in outcomes research: a systematic scoping review
2021
Artificial intelligence for precision education in radiology
2019 Standout
Study on the improved fuzzy clustering algorithm and its application in brain image segmentation
2019 Standout
Concept whitening for interpretable image recognition
2020
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
The importance of interpretability and visualization in machine learning for applications in medicine and health care
2019
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation
2020 Standout
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Tackling the Radiological Society of North America Pneumonia Detection Challenge
2019
3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts
2017
Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
2019
Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers
2018
Works of Eugene Vorontsov being referenced
On orthogonality and learning recurrent networks with long term dependencies
2017
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model
2016
Metastatic liver tumour segmentation from discriminant Grassmannian manifolds
2015
Deep Learning: A Primer for Radiologists
2017
Learning normalized inputs for iterative estimation in medical image segmentation
2017