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:
Multiparametric MRI model to predict molecular subtypes of breast cancer using Shapley additive explanations interpretability analysis
Yao Huang, Xiaoxia Wang, Ying Cao, et al.
Diagnostic and Interventional Imaging (2024) Vol. 105, Iss. 5, pp. 191-205
Closed Access | Times Cited: 8
Yao Huang, Xiaoxia Wang, Ying Cao, et al.
Diagnostic and Interventional Imaging (2024) Vol. 105, Iss. 5, pp. 191-205
Closed Access | Times Cited: 8
Showing 8 citing articles:
Radiomics in breast cancer: Current advances and future directions
Ying-Jia Qi, Guan-Hua Su, Chao You, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 9, pp. 101719-101719
Open Access | Times Cited: 10
Ying-Jia Qi, Guan-Hua Su, Chao You, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 9, pp. 101719-101719
Open Access | Times Cited: 10
Harnessing Artificial Intelligence for Precision Diagnosis and Treatment of Triple Negative Breast Cancer
Md Sadique Hussain, Prasanna Srinivasan Ramalingam, Gayathri Chellasamy, et al.
Clinical Breast Cancer (2025)
Closed Access
Md Sadique Hussain, Prasanna Srinivasan Ramalingam, Gayathri Chellasamy, et al.
Clinical Breast Cancer (2025)
Closed Access
Application of Magnetic Resonance Imaging in Breast Cancer Patients
Yue Zhang, Ying Qian
IntechOpen eBooks (2025)
Closed Access
Yue Zhang, Ying Qian
IntechOpen eBooks (2025)
Closed Access
Breast cancer molecular subtype prediction: Improving interpretability of complex machine-learning models based on multiparametric-MRI features using SHapley Additive exPlanations (SHAP) methodology
Amandine Crombé, Masako Kataoka
Diagnostic and Interventional Imaging (2024) Vol. 105, Iss. 5, pp. 161-162
Closed Access | Times Cited: 3
Amandine Crombé, Masako Kataoka
Diagnostic and Interventional Imaging (2024) Vol. 105, Iss. 5, pp. 161-162
Closed Access | Times Cited: 3
Multiparametric MRI Radiomics With Machine Learning for Differentiating HER2-Zero, -Low, and -Positive Breast Cancer: Model Development, Testing, and Interpretability Analysis
Yongxin Chen, Si–Yi Chen, Wenjie Tang, et al.
American Journal of Roentgenology (2024) Vol. 224, Iss. 1
Closed Access | Times Cited: 3
Yongxin Chen, Si–Yi Chen, Wenjie Tang, et al.
American Journal of Roentgenology (2024) Vol. 224, Iss. 1
Closed Access | Times Cited: 3
Radiologic imaging biomarkers in triple-negative breast cancer: a literature review about the role of artificial intelligence and the way forward
Kanika Bhalla, Qi Xiao, José Marcio Luna, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 1
Kanika Bhalla, Qi Xiao, José Marcio Luna, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 1
A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning
Ahmed Sharafeldeen, Hossam Magdy Balaha, Ali Mahmoud, et al.
Lecture notes in computer science (2024), pp. 438-452
Closed Access
Ahmed Sharafeldeen, Hossam Magdy Balaha, Ali Mahmoud, et al.
Lecture notes in computer science (2024), pp. 438-452
Closed Access
Harnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis
Hossam Magdy Balaha, Khadiga M. Ali, Dibson Gondim, et al.
Lecture notes in computer science (2024), pp. 191-206
Closed Access
Hossam Magdy Balaha, Khadiga M. Ali, Dibson Gondim, et al.
Lecture notes in computer science (2024), pp. 191-206
Closed Access
