Table 5.
Top 10 most-cited papers related to the use of AI in ultrasound.
Title | Corresponding authors | Journal | Publication year | Total citations | IF |
---|---|---|---|---|---|
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks | Chen, H | IEEE Journal of Biomedical and Health Informatics | 2015 | 179 | 2.093 |
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks | Yap, MH | IEEE Journal of Biomedical and Health Informatics | 2018 | 160 | 4.217 |
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network | Chi, JN | Journal of Digital Imaging | 2017 | 137 | 1.536 |
The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods | Carneiro, G | IEEE Transactions on Image Processing | 2012 | 125 | 3.199 |
Deep Learning in Medical Ultrasound Analysis: A Review | Ni, D; Wang, TF | Engineering | 2018 | 118 | 4.568 |
A deep learning framework for supporting the classification of breast lesions in ultrasound images | Seong, YK | Physics in Medicine and Biology | 2017 | 111 | 2.665 |
Deep learning based classification of breast tumors with shear-wave elastography | Zhang, Q | Ultrasonics | 2016 | 96 | 2.377 |
Efficacy of an Artificial Neural Network- Based Approach to Endoscopic Ultrasound Elastography in Diagnosis of Focal Pancreatic Masses | Gheonea, DI | Clinical Gastroenterology and Hepatology | 2012 | 95 | 6.648 |
Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images | Cheng, PM | Journal of Digital Imaging | 2017 | 94 | 1.536 |
Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset | Lu, MH | Neurocomputing | 2016 | 94 | 3.317 |