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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:

Fully Automatic Liver and Tumor Segmentation from CT Image Using an AIM-Unet
Fırat Özcan, Osman Nuri Uçan, Songül Çavdar Karaçam, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 215-215
Open Access | Times Cited: 36

Showing 1-25 of 36 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
Grey Wolf optimized SwinUNet based transformer framework for liver segmentation from CT images
S. S. Kumar, Ravi Kumar, V. Ranjith, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109248-109248
Closed Access | Times Cited: 7
Literature survey on deep learning methods for liver segmentation from CT images: a comprehensive review
S. S. Kumar, Vinod Kumar R. S.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71833-71862
Closed Access | Times Cited: 4
Adaptive Method for Exploring Deep Learning Techniques for Subtyping and Prediction of Liver Disease
Ali Hendi, Mohammad Alamgir Hossain, Naif A. Majrashi, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1488-1488
Open Access | Times Cited: 4
A Bi-modal Temporal Segmentation Network for Automated Segmentation of Focal Liver Lesions in Dynamic Contrast-enhanced Ultrasound
Yu Duan, Siyuan Shi, Haiyi Long, et al.
Ultrasound in Medicine & Biology (2025)
Closed Access
Hybrid gabor attention convolution and transformer interaction network with hierarchical monitoring mechanism for liver and tumor segmentation
Zhen Wang, Shanshan Fu, Shuang Fu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models
Mohammad Sattari, Seyed Abed Zonouri, Ali Salimi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
ResTransUNet: A hybrid CNN-transformer approach for liver and tumor segmentation in CT images
Asmaa Sabet Anwar, Khalid Amin, Mohiy M. Hadhoud, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110048-110048
Closed Access
Artificial intelligence techniques in liver cancer
Lulu Wang, Mostafa Fatemi, Azra Alizad
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis
Jessica C. Delmoral, João Manuel R. S. Tavares
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 3
Systematic Review: AI Applications in Liver Imaging with a Focus on Segmentation and Detection
Mihai Pomohaci, Mugur Grasu, Alexandru-Ştefan Băicoianu-Nițescu, et al.
Life (2025) Vol. 15, Iss. 2, pp. 258-258
Open Access
Intracranial Aneurysm Segmentation with a Dual-Path Fusion Network
Ke Wang, Yong Zhang, Bin Fang
Bioengineering (2025) Vol. 12, Iss. 2, pp. 185-185
Open Access
CotepRes-Net: An efficient U-Net based deep learning method of liver segmentation from Computed Tomography images
Jiahua Zhu, Ziteng Liu, Wenpeng Gao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105660-105660
Closed Access | Times Cited: 7
Artificial Intelligence, Machine Learning, and Deep Learning in the Diagnosis and Management of Hepatocellular Carcinoma
Carolina Larraı́n, Alejandro Torres‐Hernandez, D. Brock Hewitt
Livers (2024) Vol. 4, Iss. 1, pp. 36-50
Open Access | Times Cited: 2
Deep Learning Based Classification of Focal Liver Lesions with 3 and 4 Phase Contrast-Enhanced CT Protocols
Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, et al.
مجلة کلية دار العلوم (2024) Vol. 49, Iss. 3
Open Access | Times Cited: 2
PSO-PSP-Net + InceptionV3: An optimized hyper-parameter tuned Computer-Aided Diagnostic model for liver tumor detection using CT scan slices
Jaspreet Kaur, Prabhpreet Kaur
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106442-106442
Closed Access | Times Cited: 2
GAN-Driven Liver Tumor Segmentation: Enhancing Accuracy in Biomedical Imaging
Ankur Biswas, Santi P. Maity, Rita Banik, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 2
MAPFUNet: Multi-attention Perception-Fusion U-Net for Liver Tumor Segmentation
Junding Sun, Biao Wang, Xiaosheng Wu, et al.
Journal of Bionic Engineering (2024) Vol. 21, Iss. 5, pp. 2515-2539
Closed Access | Times Cited: 2
2.5D cascaded context-based network for liver and tumor segmentation from CT images
Rongrong Bi, Liang Guo, Botao Yang, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 8, pp. 4324-4345
Open Access | Times Cited: 5
An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis
Jinyeong Chae, Jihie Kim
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8671-8671
Open Access | Times Cited: 4
Dynamic RU-Next: Advancing liver and tumor segmentation with enhanced deep learning architecture
S. Jasmine, P. Marichamy
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 4, pp. 101182-101182
Closed Access | Times Cited: 1
Gaussian filter facilitated deep learning-based architecture for accurate and efficient liver tumor segmentation for radiation therapy
Hongyu Lin, Min Zhao, Lingling Zhu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
A Review of Advancements and Challenges in Liver Segmentation
D.B. Wei, Yundan Jiang, Chao Zhou, et al.
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 202-202
Open Access | Times Cited: 1
Coarse-to-fine prior-guided attention network for multi-structure segmentation on dental panoramic radiographs
Yuan Tian, Zhejia Zhang, Bailiang Zhao, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 21, pp. 215010-215010
Closed Access | Times Cited: 2
Liver Tumor Segmentation and Classification Using Deep Learning Methods
Sangi Narasimhulu, Ch. D. V. Subba Rao
(2024), pp. 1-5
Closed Access
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