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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:

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
Ziyi Wang, Bo Lu, Yonghao Long, et al.
Lecture notes in computer science (2022), pp. 486-496
Closed Access | Times Cited: 23

Showing 23 citing articles:

Segment anything model for medical images?
Yuhao Huang, Xin Yang, Lian Liu, et al.
Medical Image Analysis (2023) Vol. 92, pp. 103061-103061
Open Access | Times Cited: 184
Artificial intelligence-assisted phase recognition and skill assessment in laparoscopic surgery: a systematic review
Wenqiang Liao, Ying Zhu, Hanwei Zhang, et al.
Frontiers in Surgery (2025) Vol. 12
Open Access
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition
Yang Liu, Jiayu Huo, Jingjing Peng, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21017-21027
Closed Access | Times Cited: 10
LoViT: Long Video Transformer for surgical phase recognition
Yang Liu, Maxence Boels, Luis C. García-Peraza-Herrera, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103366-103366
Open Access | Times Cited: 3
GMM-Based Heuristic Decision Framework for Safe Automated Laparoscope Control
Bin Li, Yiang Lu, Wei Chen, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 2, pp. 1969-1976
Closed Access | Times Cited: 2
Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding
Hao Ding, Lalithkumar Seenivasan, Benjamin D. Killeen, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 3, pp. 109-38
Open Access | Times Cited: 2
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
Ming Hu, Peng Xia, Lin Wang, et al.
Lecture notes in computer science (2024), pp. 481-500
Closed Access | Times Cited: 2
EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos
Ryo Fujii, Masashi Hatano, Hideo Saitô, et al.
Lecture notes in computer science (2024), pp. 187-196
Closed Access | Times Cited: 1
OSFENet: Object Spatiotemporal Feature Enhanced Network for Surgical Phase Recognition
Pingjie You, Yong Zhang, Hengqi Hu, et al.
Lecture notes in computer science (2024), pp. 228-239
Closed 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
Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter
Meng Wei, Miaojing Shi, Tom Vercauteren
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 7, pp. 1313-1320
Open Access
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities
Rohit Mohan, José Arce, Sassan Mokhtar, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 8, pp. 7094-7101
Open Access
Surgical Data Science: Emerging Trends and Future Pathways
Renáta Levendovics, Tamás Levendovics, Gernot Kronreif, et al.
Topics in intelligent engineering and informatics (2024), pp. 65-84
Closed Access
HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition
Kun Yuan, Vinkle Srivastav, Nassir Navab, et al.
Lecture notes in computer science (2024), pp. 306-316
Closed Access
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
Shu Yang, Luyang Luo, Qiong Wang, et al.
Lecture notes in computer science (2024), pp. 606-616
Closed Access
A Bayesian Approach to Weakly-Supervised Laparoscopic Image Segmentation
Zheng Zhou, Yuichiro Hayashi, Masahiro Oda, et al.
Lecture notes in computer science (2024), pp. 14-24
Closed Access
StreamSense: Policy-driven Semantic Video Search in Streaming Systems
Gerard Finol, Arnau Gabriel-Atienza, Pedro Garcı́a-López, et al.
(2024), pp. 29-35
Closed Access
Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications
Sangwook Kim, Thomas G. Purdie, Chris McIntosh
Lecture notes in computer science (2023), pp. 119-128
Closed Access | Times Cited: 1
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Dominik Rivoir, Isabel Funke, Stefanie Speidel
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
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
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
Tobias Rueckert, Daniel Rueckert, Christoph Palm
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
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
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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