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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:

Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information
Ahmed M. Gab Allah, Amany Sarhan, Nada M. Elshennawy
Expert Systems with Applications (2022) Vol. 213, pp. 118833-118833
Closed Access | Times Cited: 92

Showing 51-75 of 92 citing articles:

A comprehensive benchmarking of a U-Net based model for midbrain auto-segmentation on transcranial sonography
Hongyu Kang, Wei Zhang, Shuai Li, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 258, pp. 108494-108494
Closed Access | Times Cited: 2
RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss
Yu Chen, Hailin Yue, Hulin Kuang, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106953-106953
Closed Access | Times Cited: 6
Retinal Vascular Image Segmentation Using Improved UNet Based on Residual Module
Ko-Wei Huang, Yao-Ren Yang, Zih-Hao Huang, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 722-722
Open Access | Times Cited: 6
Contrastive learning with feature fusion for unpaired thermal infrared image colorization
Yu Chen, Weida Zhan, Yichun Jiang, et al.
Optics and Lasers in Engineering (2023) Vol. 170, pp. 107745-107745
Closed Access | Times Cited: 6
A Symmetrical Approach to Brain Tumor Segmentation in MRI Using Deep Learning and Threefold Attention Mechanism
Zia-ur Rahman, Ruihong Zhang, Jameel Ahmed Bhutto
Symmetry (2023) Vol. 15, Iss. 10, pp. 1912-1912
Open Access | Times Cited: 6
Res-Net-VGG19: Improved tumor segmentation using MR images based on Res-Net architecture and efficient VGG gliomas grading
Amine Ben Slama, Hanene Sahli, Yessine Amri, et al.
Applications in Engineering Science (2023) Vol. 16, pp. 100153-100153
Open Access | Times Cited: 5
Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images
R Preetha, M. Jasmine Pemeena Priyadarsini, J. S. Nisha
IEEE Access (2023) Vol. 11, pp. 138549-138567
Open Access | Times Cited: 4
Counterfactual condition diffusion with continuous prior adaptive correction for anomaly detection in multimodal brain MRI
Xue Chen, Yanjun Peng
Expert Systems with Applications (2024) Vol. 254, pp. 124295-124295
Closed Access | Times Cited: 1
Enhanced U-Net Architecture for Lung Segmentation on Computed Tomography and X-Ray Images
Gulnara Saimassay, Mels Begenov, Ualikhan Sadyk, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access | Times Cited: 1
Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare
Ismaeel A. Siddiqui, Nickolas Littlefield, Luke Carlson, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Breast tumor segmentation using neural cellular automata and shape guided segmentation in mammography images
Mudassar Ali, Tong Wu, Haoji Hu, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0309421-e0309421
Open Access | Times Cited: 1
Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain tumors
Poulomi Das, Arpita Das
Pattern Recognition (2023) Vol. 144, pp. 109879-109879
Closed Access | Times Cited: 4
Multiencoder‐based federated intelligent deep learning model for brain tumor segmentation
Vaibhav Soni, Nikhil Kumar Singh, Rishi Kumar Singh, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 4
Investigating the Impact of Two Major Programming Environments on the Accuracy of Deep Learning-Based Glioma Detection from MRI Images
Vadi Su Yılmaz, Metehan Akdag, Yaser Dalveren, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 651-651
Open Access | Times Cited: 3
A Guide and Mini-Review on the Performance Evaluation Metrics in Binary Segmentation of Magnetic Resonance Images
Ayca Kirimtat, Ondřej Krejcar
Lecture notes in computer science (2023), pp. 428-440
Closed Access | Times Cited: 3
Advancing Brain Tumor Segmentation via Attention-Based 3D U-Net Architecture and Digital Image Processing
Eyad Gad, Seif Soliman, M. Saeed Darweesh
Lecture notes in computer science (2023), pp. 245-258
Closed Access | Times Cited: 2
MRI Image Segmentation of Brain Tumor Based on Res-UNet
Xue Li, Zhenqi Fang, Ruhua Zhao, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Dynamic image segmentation and recognition measurement of axial compression experiment based on image clustering and semantic segmentation in RC column with FRP tubes
Yankang Zhai, Alex Hay‐Man Ng, Zhenpeng Luo, et al.
Measurement (2024) Vol. 227, pp. 114207-114207
Closed Access
HAB‐Net: Hierarchical asymmetric convolution and boundary enhancement network for brain tumor segmentation
Yuanjing Hu, Aibin Huang, Rui Xu
IET Image Processing (2024) Vol. 18, Iss. 7, pp. 1809-1822
Open Access
Unveiling the Secrets of Brain Tumors: A Fuzzy C-Means and U-Net Convolution Approach for Enhanced Segmentation
J. Pearline Sheba, P. Ezhilarasi, S. Rajesh Kannan
International Journal of Computers Communications & Control (2024) Vol. 19, Iss. 2
Open Access
Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies
Lucas Plagwitz, Sangcheon Choi, Xin Yu, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106136-106136
Open Access
Segnet with Unet3+ and EfficientNet: a novel framework of brain tumour segmentation and classification model by multiscale attention-based deep learning techniques with hybrid heuristic improvement using 3D MRI brain images
D Ramya, C. Lakshmi
The Imaging Science Journal (2024), pp. 1-24
Closed Access
Automatic Brain Tumor Detection and Classification Using UNET and Optimized Support Vector Machine
Subba Reddy Borra, M. Krishna Priya, M. Taruni, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access
Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting
Jacob Ellison, Francesco Calivá, Pablo F. Damasceno, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 497-497
Open Access
Sailfish Optimizer Based CLAHE with U-NET for MRI Brain Tumour Segmentation
G. Yogalakshmi, B. Sheela Rani
Measurement Sensors (2024) Vol. 33, pp. 101229-101229
Open Access

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