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:
The Role of AI in Breast Cancer Lymph Node Classification: A Comprehensive Review
Josip Vrdoljak, Ante Krešo, Marko Kumrić, et al.
Cancers (2023) Vol. 15, Iss. 8, pp. 2400-2400
Open Access | Times Cited: 8
Josip Vrdoljak, Ante Krešo, Marko Kumrić, et al.
Cancers (2023) Vol. 15, Iss. 8, pp. 2400-2400
Open Access | Times Cited: 8
Showing 8 citing articles:
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 16
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 16
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis
Bitao Jiang, Lingling Bao, Songqin He, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 5
Bitao Jiang, Lingling Bao, Songqin He, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 5
Artificial intelligence in haematopathology: current perspective and future directions
Carlo Pescia, Anna M. Sozanska, Emily Thomas, et al.
Diagnostic histopathology (2025)
Closed Access
Carlo Pescia, Anna M. Sozanska, Emily Thomas, et al.
Diagnostic histopathology (2025)
Closed Access
Construction of disulfidptosis-based immune response prediction model with artificial intelligence and validation of the pivotal grouping oncogene c-MET in regulating T cell exhaustion
Pengping Li, Shaowen Wang, Hong Wan, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Pengping Li, Shaowen Wang, Hong Wan, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Deep Learning Prediction of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Clinical Implication-Applied Preprocessed CT Images
Tae Yong Park, Lyo Min Kwon, Jini Hyeon, et al.
Current Oncology (2024) Vol. 31, Iss. 4, pp. 2278-2288
Open Access | Times Cited: 1
Tae Yong Park, Lyo Min Kwon, Jini Hyeon, et al.
Current Oncology (2024) Vol. 31, Iss. 4, pp. 2278-2288
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
Tomoyuki Fujioka, Shohei Fujita, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Prediction of sentinel lymph node metastasis in breast cancer by using deep learning radiomics based on ultrasound images
Chujun Wang, Yu Zhao, Min Wan, et al.
Medicine (2023) Vol. 102, Iss. 44, pp. e35868-e35868
Open Access | Times Cited: 3
Chujun Wang, Yu Zhao, Min Wan, et al.
Medicine (2023) Vol. 102, Iss. 44, pp. e35868-e35868
Open Access | Times Cited: 3
Explainable machine learning versus known nomogram for predicting non-sentinel lymph node metastases in breast cancer patients: A comparative study
Asieh Sadat Fattahi, Maryam Hoseini, Toktam Dehghani, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109412-109412
Closed Access
Asieh Sadat Fattahi, Maryam Hoseini, Toktam Dehghani, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109412-109412
Closed Access
Multi-Modal Medical Image Fusion for Enhanced Diagnosis using Deep Learning in the Cloud
B Chaitanya, P Naga Lakshmi Devi, Sorabh Lakhanpal, et al.
(2023), pp. 1-7
Closed Access
B Chaitanya, P Naga Lakshmi Devi, Sorabh Lakhanpal, et al.
(2023), pp. 1-7
Closed Access
