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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:

Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang, Ming Li, Nir Ben‐Shlomo, et al.
Lecture notes in computer science (2019), pp. 192-200
Open Access | Times Cited: 19

Showing 19 citing articles:

A survey on active learning and human-in-the-loop deep learning for medical image analysis
Samuel Budd, Emma C. Robinson, Bernhard Kainz
Medical Image Analysis (2021) Vol. 71, pp. 102062-102062
Open Access | Times Cited: 428
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19
Hanan Farhat, George E. Sakr, Rima Kilany
Machine Vision and Applications (2020) Vol. 31, Iss. 6
Open Access | Times Cited: 77
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li, Haoran Wang, Yucong Meng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 5
Sd-net: a semi-supervised double-cooperative network for liver segmentation from computed tomography (CT) images
Shixin Huang, Jiawei Luo, Yangning Ou, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 2
Open Access | Times Cited: 4
Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network
Zhitong Wu, Qianjun Zhou, Feng Wang
IEEE Access (2021) Vol. 9, pp. 7255-7262
Open Access | Times Cited: 28
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm
Mengbiao Zhao, Wei Feng, Fei Yin, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 5513-5528
Closed Access | Times Cited: 19
Reconstruction-Assisted Feature Encoding Network for Histologic Subtype Classification of Non-Small Cell Lung Cancer
Haichun Li, Qilong Song, Dongqi Gui, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 9, pp. 4563-4574
Closed Access | Times Cited: 16
Teach Me to Segment with Mixed Supervision: Confident Students Become Masters
José Dolz, Christian Desrosiers, Ismail Ben Ayed
Lecture notes in computer science (2021), pp. 517-529
Closed Access | Times Cited: 18
Teacher-student approach for lung tumor segmentation from mixed-supervised datasets
Vemund Fredriksen, Svein Ole M. Sevle, André Pedersen, et al.
PLoS ONE (2022) Vol. 17, Iss. 4, pp. e0266147-e0266147
Open Access | Times Cited: 9
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision
Liyan Sun, Jianxiong Wu, Xinghao Ding, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 14
A novel dual-network architecture for mixed-supervised medical image segmentation
Duo Wang, Ming Li, Nir Ben‐Shlomo, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 89, pp. 101841-101841
Open Access | Times Cited: 8
Weakly-Interactive-Mixed Learning: Less Labelling Cost for Better Medical Image Segmentation
Xiuping Nie, Lilu Liu, Lifeng He, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3270-3281
Closed Access | Times Cited: 2
Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans
Jieyu Li, Jayaram K. Udupa, Yubing Tong, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101980-101980
Open Access | Times Cited: 5
Complementary Attention Based Dual-Task Pseudo-labeling for Medical Image Segmentation
Daole Wang, Ping Wang, Xiuyang Zhao, et al.
Lecture notes in computer science (2024), pp. 266-278
Closed Access
Seeking multi-view commonality and peculiarity: A novel decoupling method for lung cancer subtype classification
Ziyu Gao, Yin Luo, Minghui Wang, et al.
Expert Systems with Applications (2024), pp. 125397-125397
Closed Access
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans
Liyan Sun, Jianxiong Wu, Xinghao Ding, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 19, pp. 16547-16561
Closed Access | Times Cited: 2
A New Unsupervised Learning Method for 3D Deformable Medical Image Registration
Yongpei Zhu, Zicong Zhou, Guojun Liao, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021) Vol. 1, pp. 908-912
Closed Access | Times Cited: 1
Light mixed‐supervised segmentation for 3D medical image data
Hongxu Yang, Tao Tan, Pal Tegzes, et al.
Medical Physics (2023) Vol. 51, Iss. 1, pp. 167-178
Closed Access
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
Gianluca Gerard, Marco Piastra
arXiv (Cornell University) (2021)
Open Access
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