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:
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
Jiahua Zhu, Ziteng Liu, Wenpeng Gao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105660-105660
Closed Access | Times Cited: 7
Showing 7 citing articles:
Deep-Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets
Elanchezhian Somasundaram, Zachary L. Taylor, Vinicius de Padua V. Alves, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 1
Closed Access | Times Cited: 6
Elanchezhian Somasundaram, Zachary L. Taylor, Vinicius de Padua V. Alves, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 1
Closed Access | Times Cited: 6
G-UNETR++: A Gradient-Enhanced Network for Accurate and Robust Liver Segmentation from Computed Tomography Images
Seungyoo Lee, Kyujin Han, Hangyeul Shin, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 837-837
Open Access
Seungyoo Lee, Kyujin Han, Hangyeul Shin, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 837-837
Open Access
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images
D. Mohanapriya, T. Guna Sekar
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
D. Mohanapriya, T. Guna Sekar
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
GSA‐Net: Global Spatial Structure‐Aware Attention Network for Liver Segmentation in MR Images With Respiratory Artifacts
Jina-tao Jiang, Dongsheng Zhou, Muzhen He, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Jina-tao Jiang, Dongsheng Zhou, Muzhen He, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
YOLOv8-Based Frameworks for Liver and Tumor Segmentation Task on LiTS
Shyam Randar, Vedanshi Shah, Harshmohan Kulkarni, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 2
Shyam Randar, Vedanshi Shah, Harshmohan Kulkarni, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 2
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
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
Automatic liver segmentation from CT volumes based on multi-view information fusion and condition random fields
Zhen Xia, Miao Liao, Shuanhu Di, et al.
Optics & Laser Technology (2024) Vol. 179, pp. 111298-111298
Closed Access
Zhen Xia, Miao Liao, Shuanhu Di, et al.
Optics & Laser Technology (2024) Vol. 179, pp. 111298-111298
Closed Access
