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:
Self-Supervised Lightweight Depth Estimation in Endoscopy Combining CNN and Transformer
Zhuoyue Yang, Junjun Pan, Ju Dai, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 5, pp. 1934-1944
Closed Access | Times Cited: 9
Zhuoyue Yang, Junjun Pan, Ju Dai, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 5, pp. 1934-1944
Closed Access | Times Cited: 9
Showing 9 citing articles:
CTNet: Contrastive Transformer Network for Polyp Segmentation
Bin Xiao, Jinwu Hu, Weisheng Li, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5040-5053
Closed Access | Times Cited: 14
Bin Xiao, Jinwu Hu, Weisheng Li, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5040-5053
Closed Access | Times Cited: 14
EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
Beilei Cui, Mobarakol Islam, Long Bai, et al.
Lecture notes in computer science (2024), pp. 208-218
Closed Access | Times Cited: 5
Beilei Cui, Mobarakol Islam, Long Bai, et al.
Lecture notes in computer science (2024), pp. 208-218
Closed Access | Times Cited: 5
Triple-Supervised Convolutional Transformer Aggregation for Robust Monocular Endoscopic Dense Depth Estimation
Wenkang Fan, Wenjing Jiang, Hong Shi, et al.
IEEE Transactions on Medical Robotics and Bionics (2024) Vol. 6, Iss. 3, pp. 1017-1029
Closed Access | Times Cited: 1
Wenkang Fan, Wenjing Jiang, Hong Shi, et al.
IEEE Transactions on Medical Robotics and Bionics (2024) Vol. 6, Iss. 3, pp. 1017-1029
Closed Access | Times Cited: 1
A review of deep learning-based localization, mapping and 3D reconstruction for endoscopy
Jiawei Zhong, Hongliang Ren, Qin Chen, et al.
Journal of Micro-Bio Robotics (2024) Vol. 21, Iss. 1
Closed Access | Times Cited: 1
Jiawei Zhong, Hongliang Ren, Qin Chen, et al.
Journal of Micro-Bio Robotics (2024) Vol. 21, Iss. 1
Closed Access | Times Cited: 1
Enhanced Scale-Aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
Ruofeng Wei, Bin Li, Kai Chen, et al.
Lecture notes in computer science (2024), pp. 263-273
Closed Access
Ruofeng Wei, Bin Li, Kai Chen, et al.
Lecture notes in computer science (2024), pp. 263-273
Closed Access
Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks
Wenkang Fan, Wenjing Jiang, Hao Fang, et al.
Lecture notes in computer science (2024), pp. 564-574
Closed Access
Wenkang Fan, Wenjing Jiang, Hao Fang, et al.
Lecture notes in computer science (2024), pp. 564-574
Closed Access
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data
An Wang, Haochen Yin, Beilei Cui, et al.
Lecture notes in computer science (2024), pp. 45-57
Closed Access
An Wang, Haochen Yin, Beilei Cui, et al.
Lecture notes in computer science (2024), pp. 45-57
Closed Access
NETrack: A Lightweight Attention-Based Network for Real-Time Pose Tracking of Nasal Endoscope Based on Endoscopic Image
Liangjing Shao, Benshuang Chen, Xinrong Chen
Lecture notes in computer science (2024), pp. 147-152
Closed Access
Liangjing Shao, Benshuang Chen, Xinrong Chen
Lecture notes in computer science (2024), pp. 147-152
Closed Access
Transformer-based Monocular Depth Estimation with Hybrid Attention Fusion and Progressive Regression
Peng Liu, Zonghua Zhang, Zhaozong Meng, et al.
Neurocomputing (2024), pp. 129268-129268
Closed Access
Peng Liu, Zonghua Zhang, Zhaozong Meng, et al.
Neurocomputing (2024), pp. 129268-129268
Closed Access
