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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:

Liver segmentation from computed tomography images using cascade deep learning
José Denes Lima Araújo, Luana Batista da Cruz, João Otávio Bandeira Diniz, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105095-105095
Closed Access | Times Cited: 47

Showing 26-50 of 47 citing articles:

Heart segmentation in planning CT using 2.5D U-Net++ with attention gate
João Otávio Bandeira Diniz, Domingos Dias, Luana Batista da Cruz, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 3, pp. 317-325
Closed Access | Times Cited: 8
Artificial intelligence techniques in liver cancer
Lulu Wang, Mostafa Fatemi, Azra Alizad
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
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
Applications of Machine Learning in Cancer Imaging: A Review of Diagnostic Methods for Six Major Cancer Types
Andreea Ionela Dumachi, Cătălin Buiu
Electronics (2024) Vol. 13, Iss. 23, pp. 4697-4697
Open Access | Times Cited: 1
Deep Learning Algorithms in the Automatic Segmentation of Liver Lesions in Ultrasound Investigations
Mădălin Mămuleanu, Cristiana Marinela Urhuț, Larisa Săndulescu, et al.
Life (2022) Vol. 12, Iss. 11, pp. 1877-1877
Open Access | Times Cited: 6
An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images
Edson Damasceno Carvalho, Otílio Paulo da Silva Neto, Mano Joseph Mathew, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121081-121081
Closed Access | Times Cited: 3
A Dual Channel Multiscale Convolution U-Net Methodfor Liver Tumor Segmentation from Abdomen CT Images
Joel Dickson, Arul Lincely, Alice Nineta
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2022), pp. 1624-1628
Closed Access | Times Cited: 4
Dual-path Network for Liver and Tumor Segmentation in CT Images Using Swin Transformer Encoding Approach
Zhèn Yáng, Shuzhou Li
Current Medical Imaging Formerly Current Medical Imaging Reviews (2022) Vol. 19, Iss. 10
Closed Access | Times Cited: 4
Voting-Based Contour-Aware Framework for Medical Image Segmentation
Qiao Deng, Rongli Zhang, Siyue Li, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 84-84
Open Access | Times Cited: 4
Deep Learning based Liver Segmentation: A Review
Kiran Napte, Anurag Mahajan
Revue d intelligence artificielle (2022) Vol. 36, Iss. 6, pp. 979-984
Open Access | Times Cited: 4
Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI
Merna Bibars, Peter E. Salah, Ayman M. Eldeib, et al.
Lecture notes in computer science (2023), pp. 96-110
Closed Access | Times Cited: 2
Artificial Intelligence Techniques in Medical Imaging: A Systematic Review
Abdellah Azizi, Mostafa Azizi, M’barek Nasri
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 17, pp. 66-97
Open Access | Times Cited: 2
MultiHeadGAN: A deep learning method for low contrast retinal pigment epithelium cell segmentation with fluorescent flatmount microscopy images
Hanyi Yu, Fusheng Wang, George Teodoro, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105596-105596
Open Access | Times Cited: 3
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
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
Advancements in Automated Tumor Detection Screening: A Comprehensive Review and Comparative Analysis
Palak Dalal, Gopi Krishna Guntamukkala, A.Vishnu Vardhan, et al.
(2024), pp. 1-5
Closed Access
A Multi-Scale Liver Tumor Segmentation Method Based on Residual and Hybrid Attention Enhanced Network with Contextual Integration
Liyan Sun, Linqing Jiang, Mingcong Wang, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5845-5845
Open Access
A Multiattention ResUNet and Modified U‐Net Architecture for Liver Tumor Segmentation
Justice Kwame Appati, Nathanael Ayirebaje Azuponga, Leonard Mensah Boante, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access
COMPARATIVE ANALYSIS OF MODIFICATIONS OF U-NET NEURAL NETWORK ARCHITECTURES IN THE PROBLEM OF MEDICAL IMAGE SEGMENTATION
Anna Dostovalova, Andrey Gorshenin, Yu.V. Starichkova, et al.
Digital Diagnostics (2024)
Open Access
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
Esha Gawate, Snehal V. Laddha, Rohini S. Ochawar
Lecture notes in networks and systems (2024), pp. 101-115
Closed Access
Liver Tumor Segmentation Based on Multi-Scale and Self-Attention Mechanism
Fufang Li, Manlin Luo, Ming Hu, et al.
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 3, pp. 2835-2850
Open Access | Times Cited: 1
Liver segmentation using Mnet for cirrhosis
Pushpa Balakrishnan, B. Baskaran, S. Vivekanandan, et al.
Measurement Sensors (2023) Vol. 31, pp. 100986-100986
Open Access
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