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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:

Cerebrovascular Segmentation Model Based on Spatial Attention-Guided 3D Inception U-Net with Multi-Directional MIPs
Yongwei Liu, Hyo Sung Kwak, Il-Seok Oh
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2288-2288
Open Access | Times Cited: 18

Showing 18 citing articles:

Medical image data augmentation: techniques, comparisons and interpretations
Evgin Göçeri
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12561-12605
Open Access | Times Cited: 172
All answers are in the images: A review of deep learning for cerebrovascular segmentation
Cheng Chen, Kangneng Zhou, Zhiliang Wang, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 107, pp. 102229-102229
Closed Access | Times Cited: 21
High Performing Facial Skin Problem Diagnosis with Enhanced Mask R-CNN and Super Resolution GAN
Mi‐Ra Kim, Myeong Ho Song
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 989-989
Open Access | Times Cited: 13
Brain Vessel Segmentation Using Deep Learning—A Review
Mohammad Raihan Goni, Nur Intan Raihana Ruhaiyem, Muzaimi Mustapha, et al.
IEEE Access (2022) Vol. 10, pp. 111322-111336
Open Access | Times Cited: 19
Multi-scale Knowledge Transfer Vision Transformer for 3D vessel shape segmentation
Michael Hua, Junjie Wu, Zichun Zhong
Computers & Graphics (2024) Vol. 122, pp. 103976-103976
Closed Access | Times Cited: 4
PGFC-Net: Parallel-Encoding Gaussian Feature Coordination-Enhanced Network for Accurate 3D Hepatic Vessel and Inferior Vena Cava Segmentation
Shenlu Jiang, Jiahao Bao, Yue Ming, et al.
Neurocomputing (2025), pp. 129459-129459
Closed Access
Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images
Andrzej Materka, Jakub Jurek
Sensors (2024) Vol. 24, Iss. 3, pp. 846-846
Open Access | Times Cited: 1
Deep learning technology in vascular image segmentation and disease diagnosis
Chengyang Du, Jie Zhuang, Xinglu Huang
Journal of intelligent medicine. (2024)
Open Access | Times Cited: 1
Spatial multi-scale attention U-improved network for blood vessel segmentation
Ying Cui, Jingjing Su, Jia Zhu, et al.
Signal Image and Video Processing (2023) Vol. 17, Iss. 6, pp. 2857-2865
Closed Access | Times Cited: 2
Preoperative Personalized Vascular 3D Simulator of the Intelligent Robotic Ecosystem LevshAI for Endovascular Neurosurgery
Ivan Menshikov, K Orlov, Vadim Berestov, et al.
(2023) Vol. 25, pp. 6-10
Closed Access | Times Cited: 2
Knee cartilage MR images segmentation based on multi-dimensional hybrid convolutional neural network
Wenda Chen, Cao Shi
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 2, pp. 4253-4264
Closed Access
On efficient expanding training datasets of breast tumor ultrasound segmentation model
Caicai Zhang, Mei Mei, Zhuolin Mei, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109274-109274
Closed Access
SIAM: Spatial and Intensity Awareness Module for cerebrovascular segmentation
Yunqing Chen, Cheng Chen, Xiaoheng Li, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 260, pp. 108511-108511
Closed Access
Segmentation of Cerebral Vessels in Mouse Tof-Mra Via an Attention-Based Multi-Kernel Convolutional Network with Multiscale Vessel Enhancement
Yue Wu, Zhixin Li, Jinyuan Zhang, et al.
(2024)
Closed Access
Intelligent Robotic Motion Copying System LevshAi for Neurosurgical Endovascular Operations with Haptic Feedback and Preoperative Personalized Simulation
Ivan Menshikov, Alexandra Bernadotte
2018 IEEE International Conference on Cyborg and Bionic Systems (CBS) (2023) Vol. 25, pp. 386-391
Closed Access | Times Cited: 1
CNN-Based Quantification of Blood Vessels Lumen in 3D Images
Andrzej Materka, Jakub Jurek, Marek Kociński, et al.
Lecture notes in computer science (2023), pp. 653-661
Closed Access | Times Cited: 1
Modeling Blood Vessels Lumen from 3D Images with the Use of Deep Learning and B-Splines
Andrzej Materka, Jakub W. Jurek
(2023)
Open Access
Segmentation of Cerebral Vessels in Mouse TOF-MRA by an Attention Network
Yue Wu, Zhixin Li, Jinyuan Zhang, et al.
2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) (2023), pp. 191-196
Closed Access
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