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:
Artificial life for segmentation of fusion ultrasound images of breast abnormalities
Nalan Karunanayake, Wanrudee Lohitvisate, Stanislav S. Makhanov
Pattern Recognition (2022) Vol. 131, pp. 108838-108838
Closed Access | Times Cited: 14
Nalan Karunanayake, Wanrudee Lohitvisate, Stanislav S. Makhanov
Pattern Recognition (2022) Vol. 131, pp. 108838-108838
Closed Access | Times Cited: 14
Showing 14 citing articles:
Rethinking the unpretentious U-net for medical ultrasound image segmentation
Gongping Chen, Lei Li, Jianxun Zhang, et al.
Pattern Recognition (2023) Vol. 142, pp. 109728-109728
Open Access | Times Cited: 63
Gongping Chen, Lei Li, Jianxun Zhang, et al.
Pattern Recognition (2023) Vol. 142, pp. 109728-109728
Open Access | Times Cited: 63
Classification of tumor in one single ultrasound image via a novel multi-view learning strategy
Yaozhong Luo, Qinghua Huang, Longzhong Liu
Pattern Recognition (2023) Vol. 143, pp. 109776-109776
Closed Access | Times Cited: 37
Yaozhong Luo, Qinghua Huang, Longzhong Liu
Pattern Recognition (2023) Vol. 143, pp. 109776-109776
Closed Access | Times Cited: 37
Next-generation agentic AI for transforming healthcare
Nalan Karunanayake
Informatics and Health (2025) Vol. 2, Iss. 2, pp. 73-83
Open Access
Nalan Karunanayake
Informatics and Health (2025) Vol. 2, Iss. 2, pp. 73-83
Open Access
Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images
Meng Xu, Jianhua Huang, Kuan Huang, et al.
IEEE Access (2024) Vol. 12, pp. 38732-38744
Open Access | Times Cited: 3
Meng Xu, Jianhua Huang, Kuan Huang, et al.
IEEE Access (2024) Vol. 12, pp. 38732-38744
Open Access | Times Cited: 3
Deep learning for ultrasound medical images: artificial life variant
Nalan Karunanayake, Stanislav S. Makhanov
Neural Computing and Applications (2024) Vol. 36, Iss. 28, pp. 17559-17584
Closed Access | Times Cited: 2
Nalan Karunanayake, Stanislav S. Makhanov
Neural Computing and Applications (2024) Vol. 36, Iss. 28, pp. 17559-17584
Closed Access | Times Cited: 2
Breast Cancer Segmentation From Ultrasound Images Using Multiscale Cascaded Convolution With Residual Attention-Based Double Decoder Network
Muhammad Junaid Umer, Muhammad Irfan Sharif, Jungeun Kim
IEEE Access (2024) Vol. 12, pp. 107888-107902
Open Access | Times Cited: 2
Muhammad Junaid Umer, Muhammad Irfan Sharif, Jungeun Kim
IEEE Access (2024) Vol. 12, pp. 107888-107902
Open Access | Times Cited: 2
Hybrid bio-inspired computing in medical image data analysis: A review
Anupam Kumar, Faiyaz Ahmad, Bashir Alam
Intelligent Decision Technologies (2024), pp. 1-18
Closed Access | Times Cited: 2
Anupam Kumar, Faiyaz Ahmad, Bashir Alam
Intelligent Decision Technologies (2024), pp. 1-18
Closed Access | Times Cited: 2
Numerical Experiments with Artificial Life for Segmentation of Breast Ultrasound. Tests Against State-of-the-art
Stanislav S. Makhanov, Nalan Karunanayake
(2024) Vol. 10, pp. 12-16
Closed Access | Times Cited: 1
Stanislav S. Makhanov, Nalan Karunanayake
(2024) Vol. 10, pp. 12-16
Closed Access | Times Cited: 1
When deep learning is not enough: artificial life as a supplementary tool for segmentation of ultrasound images of breast cancer
Nalan Karunanayake, Stanislav S. Makhanov
Medical & Biological Engineering & Computing (2024)
Closed Access
Nalan Karunanayake, Stanislav S. Makhanov
Medical & Biological Engineering & Computing (2024)
Closed Access
A Multimodal Fusion Model for Breast Tumor Segmentation in Ultrasound Images
Hanlong Yin, Tao Lin, Yue Zhao, et al.
(2024), pp. 1-4
Closed Access
Hanlong Yin, Tao Lin, Yue Zhao, et al.
(2024), pp. 1-4
Closed Access
Caam: Medical Ultrasound Image Robust Segmentation with a Concurrent Adaptive Attention Module
Gongping Chen, Xiaotao Yin, Liang Cui, et al.
(2024)
Closed Access
Gongping Chen, Xiaotao Yin, Liang Cui, et al.
(2024)
Closed Access
A staged fuzzy evolutionary algorithm for constrained large-scale multiobjective optimization
Jinlong Zhou, Yinggui Zhang, Fan Yu, et al.
Applied Soft Computing (2024), pp. 112297-112297
Closed Access
Jinlong Zhou, Yinggui Zhang, Fan Yu, et al.
Applied Soft Computing (2024), pp. 112297-112297
Closed Access
The Art and Algorithms for Segmentation of Ultrasound Images of Breast Cancer Using Artificial Life
Stanislav S. Makhanov
2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) (2023), pp. 209-214
Closed Access | Times Cited: 1
Stanislav S. Makhanov
2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) (2023), pp. 209-214
Closed Access | Times Cited: 1
Edge-Driven Multi-Agent Reinforcement Learning: A Novel Approach to Ultrasound Breast Tumor Segmentation
Nalan Karunanayake, Samart Moodleah, Stanislav S. Makhanov
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3611-3611
Open Access | Times Cited: 1
Nalan Karunanayake, Samart Moodleah, Stanislav S. Makhanov
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3611-3611
Open Access | Times Cited: 1
Multi-Scale Fusion Global Feature Extraction Network for Multi-Modal Medical Image Fusion
Yuan Gao, Shiwei Ma, Jingjing Liu
(2023)
Closed Access
Yuan Gao, Shiwei Ma, Jingjing Liu
(2023)
Closed Access
