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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Segmentation and recognition of breast ultrasound images based on an expanded U-Net
Yanjun Guo, Xingguang Duan, Chengyi Wang, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0253202-e0253202
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 19
Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework
Taukir Alam, Wei-Chung Shia, Fang-Rong Hsu, et al.
Biomedicines (2023) Vol. 11, Iss. 6, pp. 1536-1536
Open Access | Times Cited: 22
3D U-Net for brain stroke lesion segmentation on ISLES 2018 dataset
Azhar Tursynova, Батырхан Омаров
(2021), pp. 1-4
Closed Access | Times Cited: 32
An improved MPRNet for the improvement of blurred concrete crack images
Rui Sun, Xuming Li, Gang Liu, et al.
Structures (2025) Vol. 73, pp. 108416-108416
Closed Access
Advancing Breast Cancer Diagnosis: Integrating Deep Transfer Learning and U-Net Segmentation for Precise Classification and Delineation of Ultrasound Images
Divine Senanu Ametefe, Dah John, Abdulmalik Adozuka Aliu, et al.
Results in Engineering (2025), pp. 105047-105047
Open Access
Artificial intelligence - based ultrasound elastography for disease evaluation - a narrative review
Xian‐Ya Zhang, Wei Qi, Ge-Ge Wu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 10
Automatic breast mass segmentation in ultrasound images with U-Net and resolution enhancement blocks
Ali Ahmad Rahmani, Ali Asghar Beheshti Shirazi, Hamid Behnam
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106270-106270
Closed Access | Times Cited: 3
Deep Learning-Based Medical Ultrasound Image and Video Segmentation Methods: Overview, Frontiers, and Challenges
Xiaolong Xiao, Jianfeng Zhang, Yuan Shao, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2361-2361
Open Access
Semantic Segmentation of the Malignant Breast Imaging Reporting and Data System Lexicon on Breast Ultrasound Images by Using DeepLab v3+
Wei-Chung Shia, Fang-Rong Hsu, Seng-Tong Dai, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5352-5352
Open Access | Times Cited: 13
Deep Learning on Ultrasound Images Visualizes the Femoral Nerve with Good Precision
Johan Berggreen, Anders Johansson, John Jahr, et al.
Healthcare (2023) Vol. 11, Iss. 2, pp. 184-184
Open Access | Times Cited: 7
Automated Segmentation of Median Nerve in Dynamic Sonography Using Deep Learning: Evaluation of Model Performance
Chueh‐Hung Wu, Wei-Ting Syu, Meng-Ting Lin, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1893-1893
Open Access | Times Cited: 17
Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process
Zhihong Gao, Lihua Lou, Meihao Wang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 12
The segmentation and intelligent recognition of structural surfaces in borehole images based on the U2-Net network
Qingjun Yu, Guannan Wang, Hai Cheng, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299471-e0299471
Open Access | Times Cited: 2
DMAeEDNet: Dense Multiplicative Attention enhanced Encoder Decoder Network for Ultrasound-based Automated Breast Lesion Segmentation
Manali Saini, Humayra Afrin, Setayesh Sotoudehnia Korani, et al.
IEEE Access (2024) Vol. 12, pp. 60541-60555
Open Access | Times Cited: 2
A comparative study of breast tumour detection using a semantic segmentation network coupled with different pretrained CNNs
G. Divya Deepak, Subraya Krishna Bhat
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
An automatic segmentation of breast ultrasound images using U-Net model
Eman A. Radhi, Mohammed Y. Kamil
Serbian Journal of Electrical Engineering (2023) Vol. 20, Iss. 2, pp. 191-203
Open Access | Times Cited: 5
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
Yifu Zhang, Hongru Li, Tao Yang, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110675-110675
Open Access | Times Cited: 5
Medical ultrasound image segmentation using Multi-Residual U-Net architecture
V. B. Shereena, G. Raju
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27067-27088
Closed Access | Times Cited: 5
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning
C. Sahaya Pushpa Sarmila Star, A. Milton, T. M. Inbamalar
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 1
Closed Access | Times Cited: 1
Automatic detection of pleural line and lung sliding in lung ultrasonography using convolutional neural networks
Takeyoshi Uchida, Yukimi Tanaka, Akihiro Suzuki
Heliyon (2024) Vol. 10, Iss. 15, pp. e34700-e34700
Open Access | Times Cited: 1
Wavelet-integrated deep neural network for deblurring and segmentation of crack images
Rui Sun, Xuming Li, Li‐Bing Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112240-112240
Closed Access | Times Cited: 1
Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation
Zoe Hu, Paola V. Nasute Fauerbach, Chris Yeung, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 9, pp. 1663-1672
Closed Access | Times Cited: 6
Data Augmentation Techniques Evaluation on Ultrasound Images for Breast Tumor Segmentation Tasks
Trang Minh Vo, Thien Thanh Vo, Tan Tai Phan, et al.
Studies in computational intelligence (2023), pp. 153-164
Closed Access | Times Cited: 3
Deep learning for the rapid automatic segmentation of forearm muscle boundaries from ultrasound datasets
Xin Chen, Baoxu Li, Dezheng Wang, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 2
Convolutional Neural Networks Based Classification of Segmented Breast Ultrasound Images – A Comparative Preliminary Study
Mohammed Tarek GadAllah, Abd El–Naser A. Mohamed, Alaa A. Hefnawy, et al.
(2023) Vol. 2019, pp. 585-590
Closed Access | Times Cited: 2
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