Open Access Helper

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:

FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images
Wenju Cui, Yunsong Peng, Gang Yuan, et al.
Medical Physics (2021) Vol. 49, Iss. 1, pp. 144-157
Closed Access | Times Cited: 36

Showing 26-50 of 36 citing articles:

Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study
Margarida R. Ferreira, Helena R. Torres, Bruno Oliveira, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access | Times Cited: 1
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks
Erlei Zhang, Weihao Chen, Xiaowei Xu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1846-1850
Open Access
Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks
Ebrahim A. Nehary, Sreeraman Rajan
IEEE Access (2024) Vol. 12, pp. 112966-112983
Open Access
A Multi-Task Transformer With Local-Global Feature Interaction and Multiple Tumoral Region Guidance for Breast Cancer Diagnosis
Yi Zhang, Bolun Zeng, Jia Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6840-6853
Closed Access
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection
Barsha Abhisheka, Saroj Kr. Biswas, Biswajit Purkayastha
Neural Computing and Applications (2024)
Closed Access
Enhancing Medical Image Analysis with MA-DTNet: A Dual Task Network Guided by Morphological Attention
Susmita Ghosh, Swagatam Das
Lecture notes in computer science (2024), pp. 283-300
Closed Access
A feature fusion method based on radiomic features and revised deep features for improving tumor prediction in ultrasound images
Xianyang Wang, Li Lv, Qingfeng Tang, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109605-109605
Closed Access
Breast Cancer Diagnosis Using Iterative Fourier-Bessel Decomposition Method Based CNN-kernel Features
Pradeep Kumar Chaudhary, Kritiprasanna Das, Ram Bilas Pachori
(2022)
Open Access | Times Cited: 1
Discrete Wavelet Coefficient-based Embeddable Branch for Ultrasound Breast Masses Classification
Mingue Song, Yanggon Kim
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2023), pp. 1225-1232
Closed Access
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography
Mohamed A. M. Hassanien, Vivek Kumar Singh, Domènec Puig, et al.
Frontiers in artificial intelligence and applications (2022)
Open Access
Unsupervised Learning Method Via Triple Reconstruction for the Classification of Ultrasound Breast Tumors
Mingue Song, Yanggon Kim
SSRN Electronic Journal (2021)
Closed Access
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