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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:

3D Breast Cancer Segmentation in DCE‐MRI Using Deep Learning With Weak Annotation
Ga Eun Park, Sung Hun Kim, Yoonho Nam, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 6, pp. 2252-2262
Closed Access | Times Cited: 11

Showing 11 citing articles:

AI in Breast Cancer Imaging: An Update and Future Trends
Yizhou Chen, Xiaoliang Shao, Kuangyu Shi, et al.
Seminars in Nuclear Medicine (2025)
Open Access | Times Cited: 3
Enhanced breast cancer detection and classification via CAMR-Gabor filters and LSTM: A deep Learning-Based method
Vinit Kumar, K. Chandrashekhara, Naga Padmaja Jagini, et al.
Egyptian Informatics Journal (2025) Vol. 29, pp. 100602-100602
Closed Access | Times Cited: 1
Automated Detection and Classification of Adrenal Masses on CT Using Two Annotation Methods: Segmentation vs. Bounding Box
Taku Takaishi, Y. Kokubo, K. Kondo, et al.
(2025), pp. 100003-100003
Open Access | Times Cited: 1
Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences
Francesco Prinzi, Alessia Angela Maria Orlando, Salvatore Gaglio, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123557-123557
Open Access | Times Cited: 8
Clinical Application of Artificial Intelligence in Breast MRI
Jong-Min Kim, Su Min Ha
Journal of the Korean Society of Radiology (2025) Vol. 86, Iss. 2, pp. 227-227
Open Access
FS-YOLOv9: A Frequency and Spatial Feature-Based YOLOv9 for Real-time Breast Cancer Detection
Haitian Gui, Tao Su, Xinhua Jiang, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 3
Automated 3D Tumor Segmentation From Breast DCE-MRI Using Energy-Tuned Minimax Optimization
Priyadharshini Babu, Mythili Asaithambi, M. Sudhakar
IEEE Access (2024) Vol. 12, pp. 87532-87544
Open Access | Times Cited: 1
The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI
Tomoyuki Fujioka, Shohei Fujita, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
BC- MRI -SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
Anthony Bilic, Chen Chen
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 674-678
Open Access
3DSC2-UNet: Advancing Breast Cancer Segmentation Techniques Using the 3D Skipped Convolution Capsule-UNet
Parthasarathy Ramadass, C. Sharmila, Rakesh Kumar Mahendran, et al.
(2024), pp. 1-7
Closed Access
Editorial for “3D Breast Cancer Segmentation in DCE‐MRI Using Deep Learning With Weak Annotation”
Luísa Nogueira, Nuno Adubeiro, Rita G. Nunes
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 6, pp. 2263-2264
Closed Access
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