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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:

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102770-102770
Open Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills
Merryn Constable, Xiatian Zhang, Tony Conner, et al.
Advances in Health Sciences Education (2024)
Open Access | Times Cited: 1
CPR-Coach: Recognizing Composite Error Actions Based on Single-Class Training
Shunli Wang, Shuaibing Wang, Dingkang Yang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 4, pp. 18782-18792
Closed Access | Times Cited: 1
Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
Yunlong Li, Zijian Zhao, Renbo Li, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Jumpstarting Surgical Computer Vision
Deepak Alapatt, Aditya Murali, Vinkle Srivastav, et al.
Lecture notes in computer science (2024), pp. 328-338
Closed Access | Times Cited: 1
Deep Learning in Surgical Workflow Analysis: A review
Kubilay Can Demir, Hannah Schieber, Tobias Weise, et al.
(2022)
Open Access | Times Cited: 7
Localization-assisted Uncertainty Score Disentanglement Network for Action Quality Assessment
Yanli Ji, Lingfeng Ye, Huili Huang, et al.
(2023), pp. 8590-8597
Closed Access | Times Cited: 3
P-CSEM: An Attention Module for Improved Laparoscopic Surgical Tool Detection
Herag Arabian, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7257-7257
Open Access | Times Cited: 2
Automatic Assessment of Procedural Skills Based on the Surgical Workflow Analysis Derived from Speech and Video
Carmen Guzmán-García, Patricia Sánchez González, Ignacio Oropesa García, et al.
Bioengineering (2022) Vol. 9, Iss. 12, pp. 753-753
Open Access | Times Cited: 3
Surgical Skills Classification Using Deep Learning Models: A Comprehensive Survey
Spraha Kumawat, Manan Chathli, Rakshit Walia, et al.
(2024), pp. 340-345
Closed Access
A surgical activity model of laparoscopic cholecystectomy for co-operation with collaborative robots
R. T. Younis, Amine Yamlahi, Sebastian Bodenstedt, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 8, pp. 4316-4328
Open Access
MuST: Multi-scale Transformers for Surgical Phase Recognition
Alejandra Pérez, Santiago Rodríguez, Nicolás Ayobi, et al.
Lecture notes in computer science (2024), pp. 422-432
Closed Access
Surgical Phase Recognition: A Review and Evaluation of Current Approaches
Kubilay Can Demir, Hannah Schieber, Daniel Roth, et al.
(2022)
Open Access | Times Cited: 2
Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition
Kubilay Can Demir, Hannah Schieber, Tobias Weise, et al.
(2022)
Open Access | Times Cited: 1
Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition
Kubilay Can Demir, Hannah Schieber, Tobias Weise, et al.
(2023)
Open Access
CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, et al.
arXiv (Cornell University) (2023)
Open Access
Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
Georgii Kostiuchik, Lalith Sharan, Benedikt Mayer, et al.
arXiv (Cornell University) (2023)
Open Access
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
Martin Huber, Sébastien Ourselin, Christos Bergeles, et al.
arXiv (Cornell University) (2023)
Open Access
Generative Artificial Intelligence (GenAI) in Healthcare: A Synthesis of Literature on Preliminary Evidence of Use in Clinical Services (Preprint)
Dobin Yim, Jiban Khuntia, Vijaya Parameswaran, et al.
(2023)
Open Access
Surgical Phase Recognition for different hospitals
Eric L. Wisotzky, Lasse Renz-Kiefel, Sophie Beckmann, et al.
Current Directions in Biomedical Engineering (2023) Vol. 9, Iss. 1, pp. 315-318
Open Access
Evolution and Stylistic Characteristics of Ancient Chinese Stone Carving Decoration LSTM-DL Approach with Image Visualization
Yuan Tian
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 6, pp. 340-350
Open Access
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
Martin Huber, Sébastien Ourselin, Christos Bergeles, et al.
Lecture notes in computer science (2023), pp. 217-226
Closed Access
Surgical phase classification and operative skill assessment through spatial context aware CNNs and time-invariant feature extracting autoencoders
Chakka Sai Pradeep, Neelam Sinha
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 4, pp. 700-724
Closed Access
Hepatobiliary surgery in Taiwan: The past, present, and future. Part I; biliary surgery
Chen‐Guo Ker
Formosan Journal of Surgery (2023) Vol. 57, Iss. 1, pp. 1-10
Open Access
SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network
Jun Long, Junkun Hong, Zidong Wang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 32, pp. 586-593
Closed Access
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