
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:
BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram
Wenwei Zhao, Runze Wang, Yunliang Qi, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103073-103073
Closed Access | Times Cited: 20
Wenwei Zhao, Runze Wang, Yunliang Qi, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103073-103073
Closed Access | Times Cited: 20
Showing 20 citing articles:
Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds
Xiang Li, Minglei Li, Pengfei Yan, et al.
International Journal of Network Dynamics and Intelligence (2023), pp. 93-116
Open Access | Times Cited: 115
Xiang Li, Minglei Li, Pengfei Yan, et al.
International Journal of Network Dynamics and Intelligence (2023), pp. 93-116
Open Access | Times Cited: 115
Machine Learning-Based Approaches for Breast Density Estimation from Mammograms: A Comprehensive Review
Khaldoon Alhusari, Salam Dhou
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 38-38
Open Access
Khaldoon Alhusari, Salam Dhou
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 38-38
Open Access
Mv-Trams: An Efficient Tumor Region-Adapted Mammography Synthesis Under Multi-View Diagnosis
Huy T. Nguyen, Thinh B. Lam, Thuy Thanh Truong, et al.
(2025)
Closed Access
Huy T. Nguyen, Thinh B. Lam, Thuy Thanh Truong, et al.
(2025)
Closed Access
A hybrid breast mass detection in mammograms using geometric deformable contour model and convolutional neural network
Dhanalekshmi P. Yedurkar, Anuradha C. Phadke, Fadi Al‐Turjman, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107708-107708
Closed Access
Dhanalekshmi P. Yedurkar, Anuradha C. Phadke, Fadi Al‐Turjman, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107708-107708
Closed Access
A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification
Meryem Altın Karagöz, Özkan Ufuk Nalbantoğlu
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3448-3463
Open Access | Times Cited: 2
Meryem Altın Karagöz, Özkan Ufuk Nalbantoğlu
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3448-3463
Open Access | Times Cited: 2
TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound
Pengfei Yan, Wushuang Gong, Minglei Li, et al.
Information Fusion (2024) Vol. 112, pp. 102592-102592
Closed Access | Times Cited: 2
Pengfei Yan, Wushuang Gong, Minglei Li, et al.
Information Fusion (2024) Vol. 112, pp. 102592-102592
Closed Access | Times Cited: 2
TwoViewDensityNet: Two-View Mammographic Breast Density Classification Based on Deep Convolutional Neural Network
Mariam Busaleh, Muhammad Hussain, Hatim Aboalsamh, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4610-4610
Open Access | Times Cited: 10
Mariam Busaleh, Muhammad Hussain, Hatim Aboalsamh, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4610-4610
Open Access | Times Cited: 10
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
Thanh-Huy Nguyen, Quang Hien Kha, Thai Ngoc Toan Truong, et al.
(2023), pp. 2556-2565
Open Access | Times Cited: 5
Thanh-Huy Nguyen, Quang Hien Kha, Thai Ngoc Toan Truong, et al.
(2023), pp. 2556-2565
Open Access | Times Cited: 5
Artificial intelligence in mammography: advances and challenges
Salam Dhou, Khaldoon Alhusari, Mohanad Alkhodari
Elsevier eBooks (2024), pp. 83-114
Closed Access | Times Cited: 1
Salam Dhou, Khaldoon Alhusari, Mohanad Alkhodari
Elsevier eBooks (2024), pp. 83-114
Closed Access | Times Cited: 1
Domain generalization for mammographic image analysis with contrastive learning
Zheren Li, Zhiming Cui, Lichi Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109455-109455
Open Access | Times Cited: 1
Zheren Li, Zhiming Cui, Lichi Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109455-109455
Open Access | Times Cited: 1
Classifying Breast Density from Mammogram with Pretrained CNNs and Weighted Average Ensembles
Eman Justaniah, Ghadah Aldabbagh, Areej Alhothali, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5599-5599
Open Access | Times Cited: 6
Eman Justaniah, Ghadah Aldabbagh, Areej Alhothali, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5599-5599
Open Access | Times Cited: 6
Recent advancements of deep learning in detecting breast cancer: a survey
Anjali Gautam
Multimedia Systems (2022) Vol. 29, Iss. 3, pp. 917-943
Closed Access | Times Cited: 4
Anjali Gautam
Multimedia Systems (2022) Vol. 29, Iss. 3, pp. 917-943
Closed Access | Times Cited: 4
Breast density classification in mammograms using VGG convolutional networks
E. Barrios Cruz, Lourdes Santos, Hiram Calvo, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-9
Closed Access
E. Barrios Cruz, Lourdes Santos, Hiram Calvo, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-9
Closed Access
Exploring the influence of attention for whole-image mammogram classification
Marc Berghouse, George Bebis, Alireza Tavakkoli
Image and Vision Computing (2024) Vol. 147, pp. 105062-105062
Closed Access
Marc Berghouse, George Bebis, Alireza Tavakkoli
Image and Vision Computing (2024) Vol. 147, pp. 105062-105062
Closed Access
Deep Classification of Mammographic Breast Density: DCBARNet
Debapriya Chakraborty, Sarbani Palit, Ujjwal Bhattacharya
(2023), pp. 1-6
Closed Access | Times Cited: 1
Debapriya Chakraborty, Sarbani Palit, Ujjwal Bhattacharya
(2023), pp. 1-6
Closed Access | Times Cited: 1
Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Zheren Li, Zhiming Cui, Lichi Zhang, et al.
(2023)
Open Access | Times Cited: 1
Zheren Li, Zhiming Cui, Lichi Zhang, et al.
(2023)
Open Access | Times Cited: 1
Computer aided diagnosis system for breast density classification in mammograms
S Shrinithi, D. Vijayan, R Lavanya
Journal of Physics Conference Series (2022) Vol. 2318, Iss. 1, pp. 012039-012039
Open Access | Times Cited: 1
S Shrinithi, D. Vijayan, R Lavanya
Journal of Physics Conference Series (2022) Vol. 2318, Iss. 1, pp. 012039-012039
Open Access | Times Cited: 1
Mammogram Screening for Breast Density Classification using a soft voting ensemble of Swin Transformers and ConvNext models
Muhammad Hussain, Fahman Saeed, Mariam Busaleh, et al.
(2022), pp. 372-379
Closed Access | Times Cited: 1
Muhammad Hussain, Fahman Saeed, Mariam Busaleh, et al.
(2022), pp. 372-379
Closed Access | Times Cited: 1
Multi-view fusion-based local-global dynamic pyramid convolutional cross-tansformer network for density classification in mammography
Yutong Zhong, Yan Piao, Guohui Zhang
Physics in Medicine and Biology (2023) Vol. 68, Iss. 22, pp. 225012-225012
Closed Access
Yutong Zhong, Yan Piao, Guohui Zhang
Physics in Medicine and Biology (2023) Vol. 68, Iss. 22, pp. 225012-225012
Closed Access
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022) Vol. 70, pp. 378-387
Open Access
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022) Vol. 70, pp. 378-387
Open Access