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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:

Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images
Liang Sun, Wei Shao, Daoqiang Zhang, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 6, pp. 2000-2012
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 168
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation
Yang Li, Yue Zhang, Weigang Cui, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 8, pp. 1975-1989
Closed Access | Times Cited: 102
Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 581-606
Open Access | Times Cited: 101
Review of Semantic Segmentation of Medical Images Using Modified Architectures of UNET
M. Krithika alias AnbuDevi, K. Suganthi
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3064-3064
Open Access | Times Cited: 69
MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion
Mengqi Xu, Qianting Ma, Huajie Zhang, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 114, pp. 102370-102370
Closed Access | Times Cited: 17
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, et al.
Neural Networks (2023) Vol. 169, pp. 637-659
Closed Access | Times Cited: 32
Deep multi-scale attentional features for medical image segmentation
Sahadev Poudel, Sang-Woong Lee
Applied Soft Computing (2021) Vol. 109, pp. 107445-107445
Closed Access | Times Cited: 46
Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network
Xiaokun Liang, Na Li, Zhicheng Zhang, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102156-102156
Open Access | Times Cited: 43
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images
Yang Li, Tingting Dan, Haojiang Li, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 7, pp. 1639-1650
Closed Access | Times Cited: 36
HWA-SegNet: Multi-channel skin lesion image segmentation network with hierarchical analysis and weight adjustment
Qi Han, Hongyi Wang, Mingyang Hou, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106343-106343
Closed Access | Times Cited: 22
An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and T1‐weighted images
Yida Wang, Naying He, Chunyan Zhang, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 12, pp. 4426-4438
Open Access | Times Cited: 14
Machine learning and deep learning for cancer diagnosis
Taiwo Soewu, Harpreet Kaur, Ramandeep Sandhu, et al.
Elsevier eBooks (2025), pp. 83-129
Closed Access
(DA-U)2Net: double attention U2Net for retinal vessel segmentation
Byoung Sun Chu, Jinsong Zhao, W. Jim Zheng, et al.
BMC Ophthalmology (2025) Vol. 25, Iss. 1
Open Access
Overall Survival Prediction for Gliomas Using a Novel Compound Approach
He Huang, Wenbo Zhang, Ying Fang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 31
Fundamentals of Deep Learning Models for Medical Image Segmentation
Aasia Rehman, Sajid Yousuf Bhat
(2025), pp. 27-63
Closed Access
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction
Liang Sun, Wei Shao, Qi Zhu, et al.
Pattern Recognition (2022) Vol. 133, pp. 109029-109029
Closed Access | Times Cited: 16
APRNet: A 3D Anisotropic Pyramidal Reversible Network With Multi-Modal Cross-Dimension Attention for Brain Tissue Segmentation in MR Images
Yuzhou Zhuang, Hong Liu, Enmin Song, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 2, pp. 749-761
Closed Access | Times Cited: 21
Attention Gate Based Dual-Pathway Network for Vertebra Segmentation of X-Ray Spine Images
Wenbo Shi, Tongshuai Xu, Huan Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3976-3987
Closed Access | Times Cited: 15
A symmetric prior knowledge based deep learning model for intracerebral hemorrhage lesion segmentation
Mayidili Nijiati, Abudouresuli Tuersun, Yue Zhang, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 13
Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi‐Parametric MRI by Deep Learning
Yida Wang, Wei Liu, Yuanyuan Lu, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 2
Residual-atrous attention network for lumbosacral plexus segmentation with MR image
Junyong Zhao, Liang Sun, Xin Zhou, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 100, pp. 102109-102109
Closed Access | Times Cited: 11
Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation
A. Saranya, Kottilingam Kottursamy, Ahmad Ali AlZubi, et al.
Soft Computing (2021) Vol. 26, Iss. 16, pp. 7519-7533
Open Access | Times Cited: 14
MDAN: Mirror Difference Aware Network for Brain Stroke Lesion Segmentation
Qiqi Bao, Shiyu Mi, Bowen Gang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1628-1639
Closed Access | Times Cited: 13
A Prior Knowledge-Guided, Deep Learning-Based Semiautomatic Segmentation for Complex Anatomy on Magnetic Resonance Imaging
Ying Zhang, Ying Liang, Jie Ding, et al.
International Journal of Radiation Oncology*Biology*Physics (2022) Vol. 114, Iss. 2, pp. 349-359
Open Access | Times Cited: 9
Segmentation based medical image compression of brain magnetic resonance images using optimized convolutional neural network
Bindu Puthentharayil Vikraman, A. Jabeena
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 26643-26661
Closed Access | Times Cited: 5
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