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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:

Automatic Liver Segmentation in CT Images with Enhanced GAN and Mask Region-Based CNN Architectures
Xiaoqin Wei, Xiaowen Chen, Ce Lai, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 24

Showing 24 citing articles:

A Review Paper about Deep Learning for Medical Image Analysis
Bagher Sistaninejhad, Habib Rasi, parisa nayeri
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 40
Harmonization Strategies in Multicenter MRI-Based Radiomics
Elisavet Stamoulou, Constantinos Spanakis, Georgios C. Manikis, et al.
Journal of Imaging (2022) Vol. 8, Iss. 11, pp. 303-303
Open Access | Times Cited: 38
APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification
Balasubramanian Prabhu Kavin, Wen‐Cheng Lai, Hong‐Seng Gan, et al.
Cancers (2023) Vol. 15, Iss. 2, pp. 330-330
Open Access | Times Cited: 33
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
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
Guided ultrasound acquisition for nonrigid image registration using reinforcement learning
Shaheer U. Saeed, João Ramalhinho, Nina Montaña-Brown, et al.
Medical Image Analysis (2025), pp. 103555-103555
Open Access
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: 3
Enhanced Lung Cancer Classification and Prediction based on Hybrid Neural Network Approach
A. Gopinath, P. Gowthaman, Lisa Gopal, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 933-938
Closed Access | Times Cited: 8
Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review
Ademola E. Ilesanmi, Taiwo Ilesanmi, Oluwagbenga Paul Idowu, et al.
International Journal of Multimedia Information Retrieval (2022) Vol. 11, Iss. 3, pp. 315-331
Closed Access | Times Cited: 11
Challenges and solutions of deep learning-based automated liver segmentation: A systematic review
Vahideh Ghobadi, Luthffi Idzhar Ismail, Wan Zuha Wan Hasan, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109459-109459
Closed Access | Times Cited: 1
Age-related morphometrics of normal adrenal glands based on deep learning-aided segmentation
Yuanchong Chen, Jiejin Yang, Yaofeng Zhang, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16810-e16810
Open Access | Times Cited: 3
Automatic liver tumor segmentation and identification using fully connected convolutional neural network from CT images
Sree Harsha Vadlamudi, Yerrabapu Sai Souhith Reddy, Polu Ajith Sai Kumar Reddy, et al.
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 24
Closed Access | Times Cited: 3
Automatic liver segmentation in computed tomography scans using deep semantic segmentation
Kadry Ali Ezzat, Lamia Nabil Omran, Ahmed Ibrahim Bahgat El Seddawy
Bulletin of Electrical Engineering and Informatics (2022) Vol. 12, Iss. 1, pp. 250-256
Open Access | Times Cited: 3
Machine learning-based identification of contrast-enhancement phase of computed tomography scans
Siddharth Guha, Abdalla Ibrahim, Qian Wu, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0294581-e0294581
Open Access
Impact of reconstruction algorithms on the success rate and quality of automatic airway segmentation in children under ultra-low-dose chest CT scanning
Jiawei Sun, Hai‐Lei Li, Zhihong Liu, et al.
International Journal of Radiation Research (2024) Vol. 22, Iss. 1, pp. 171-177
Open Access
Automatic Liver Segmentation from Multiphase CT Using Modified SegNet and ASPP Module
P. Vaidehi Nayantara, Surekha Kamath, Rajagopal Kadavigere, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Open Access
Transformer Skip‐Fusion Based SwinUNet for Liver Segmentation From CT Images
S. S. Kumar, R. S. Vinod Kumar
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access
Malexnet-EUNET: multi-class liver cancer classification and segmentation using a hybrid deep learning system
Nageswara Rao Moparthi, Bhuvan Unhelkar, Prąsun Chakrabarti
Journal of Mechanics in Medicine and Biology (2024)
Closed Access
A Modified U-Net for Semantic Segmentation of Liver and Liver Tumors From CT Scans
R Rashmi, S Girisha
Communications in computer and information science (2024), pp. 210-219
Closed Access
A simulation study towards sparse-view spectral X-ray CT segmentation using spectrum-aware deep neural networks
Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake
Nondestructive Testing And Evaluation (2024), pp. 1-21
Closed Access
End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections
Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, et al.
(2023), pp. 2566-2574
Closed Access | Times Cited: 1
Design and Implementation of an Optimized Mask RCNN Model for Liver Tumour Prediction and Segmentation
Raman Thakur, Dayal Rohan Volety, Vandana Sharma, et al.
(2023), pp. 1-6
Open Access
Convolutional Neural Networks for Medical Image Segmentation and Classification: A Review
S Jenifer, Carmel Mary Belinda M J
Journal of Information Systems and Telecommunication (JIST) (2023) Vol. 11, Iss. 44, pp. 347-358
Open Access
Advanced Learning-Based Segmentation of Liver and Tumor 3D Images for Early Disease Diagnosis
Manh-Tien Nguyen, Thai Dinh Kim, Manh-Hung Ha, et al.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2023), pp. 101-106
Closed Access
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