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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:

RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation
Rayyan Azam Khan, Yigang Luo, Fang‐Xiang Wu
Artificial Intelligence in Medicine (2022) Vol. 124, pp. 102231-102231
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

RMAU-Net: Residual Multi-Scale Attention U-Net For liver and tumor segmentation in CT images
Linfeng Jiang, Jiajie Ou, Ruihua Liu, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106838-106838
Closed Access | Times Cited: 43
Multi-scale dual-channel feature embedding decoder for biomedical image segmentation
Rohit Agarwal, Palash Ghosal, Anup Sadhu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108464-108464
Closed Access | Times Cited: 20
Deep integrated fusion of local and global features for cervical cell classification
Ming Fang, Minghan Fu, Bo Liao, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108153-108153
Open Access | Times Cited: 18
Advance brain tumor segmentation using feature fusion methods with deep U-Net model with CNN for MRI data
Abdul Haseeb Nizamani, Zhigang Chen, Ahsan Ahmed Nizamani, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101793-101793
Open Access | Times Cited: 32
Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation
Rohit Agarwal, A. M. Mahmud Chowdhury, Rajib Kumar Chatterjee, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7195-7205
Closed Access | Times Cited: 11
A multi-modal deep neural network for multi-class liver cancer diagnosis
Rayyan Azam Khan, Minghan Fu, Brent Burbridge, et al.
Neural Networks (2023) Vol. 165, pp. 553-561
Closed Access | Times Cited: 22
Clinical applications of artificial intelligence in liver imaging
Akira Yamada, Koji Kamagata, Kenji Hirata, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 655-667
Closed Access | Times Cited: 20
EfficientU-Net: A Novel Deep Learning Method for Breast Tumor Segmentation and Classification in Ultrasound Images
Mohsin Furkh Dar, Avatharam Ganivada
Neural Processing Letters (2023) Vol. 55, Iss. 8, pp. 10439-10462
Closed Access | Times Cited: 16
DRD-UNet, a UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation
Mauricio Alberto Ortega-Ruíz, Cefa Karabağ, Edgar Román-Rangel, et al.
IEEE Access (2024) Vol. 12, pp. 40412-40424
Open Access | Times Cited: 6
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li, Haoran Wang, Yucong Meng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 5
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: 5
Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network
Maryam Khoshkhabar, Saeed Meshgini, Reza Afrouzian, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7561-7561
Open Access | Times Cited: 12
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
DS-MSFF-Net: Dual-path self-attention multi-scale feature fusion network for CT image segmentation
Xiaoqian Zhang, Lei Pu, Liming Wan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4490-4506
Closed Access | Times Cited: 4
BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning
Carlos Aumente-Maestro, D. Rodríguez, David Martínez‐Rego, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107490-107490
Closed Access
An experimental study of U-net variants on liver segmentation from CT scans
Akash Halder, Arup Sau, Surya Majumder, et al.
Journal of Intelligent Systems (2025) Vol. 34, Iss. 1
Open Access
Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation
Olamilekan Shobayo, Reza Saatchi
Diagnostics (2025) Vol. 15, Iss. 9, pp. 1072-1072
Open Access
A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images
Fanxing Meng, Tuo Zhang, Yingtian Pan, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Hounsfield Unit Based Multi-Threshold Approach for Liver Segmentation
Rohini A. Bhusnurmath, Shivaleela Betageri
Procedia Computer Science (2025) Vol. 258, pp. 3804-3813
Open Access
GTMamba: Graph Tri‐Orientated Mamba Network for 3D Brain Tumor Segmentation
Ye Zhang, Muqing Zhang, Jianxin Zhang, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
Multi-level GAN based enhanced CT scans for liver cancer diagnosis
Rayyan Azam Khan, Yigang Luo, Fang‐Xiang Wu
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104450-104450
Closed Access | Times Cited: 16
Scoping Review of Deep Learning Techniques for Diagnosis, Drug Discovery, and Vaccine Development in Leishmaniasis
Alireza Sadeghi, Mahdieh Sadeghi, Mahdi Fakhar, et al.
Transboundary and Emerging Diseases (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 3
When liver disease diagnosis encounters deep learning: Analysis, challenges, and prospects
Yingjie Tian, Minghao Liu, Yu Sun, et al.
iLiver (2023) Vol. 2, Iss. 1, pp. 73-87
Open Access | Times Cited: 8
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis
Se-Yeol Rhyou, Jae-Chern Yoo
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102541-102541
Open Access | Times Cited: 8
A Lightweight Deep Learning Approach for Liver Segmentation
Smaranda Bogoi, Andreea Udrea
Mathematics (2022) Vol. 11, Iss. 1, pp. 95-95
Open Access | Times Cited: 12
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