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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:

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Tobias Roß, David Zimmerer, Anant Vemuri, et al.
International Journal of Computer Assisted Radiology and Surgery (2018) Vol. 13, Iss. 6, pp. 925-933
Open Access | Times Cited: 136

Showing 26-50 of 136 citing articles:

Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations
Alexander Chowdhury, Jacob Rosenthal, Jonathan Waring, et al.
Informatics (2021) Vol. 8, Iss. 3, pp. 59-59
Open Access | Times Cited: 45
ToStaGAN: An end-to-end two-stage generative adversarial network for brain tumor segmentation
Yi Ding, Chao Zhang, Mingsheng Cao, et al.
Neurocomputing (2021) Vol. 462, pp. 141-153
Closed Access | Times Cited: 41
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
Aiham Taleb, Matthias Kirchler, Remo Monti, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20876-20889
Open Access | Times Cited: 33
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps
Dwarikanath Mahapatra, Zongyuan Ge, Mauricio Reyes
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2443-2456
Closed Access | Times Cited: 31
Active learning using deep Bayesian networks for surgical workflow analysis
Sebastian Bodenstedt, Dominik Rivoir, Alexander C. Jenke, et al.
International Journal of Computer Assisted Radiology and Surgery (2019) Vol. 14, Iss. 6, pp. 1079-1087
Open Access | Times Cited: 52
Self-Supervised Surgical Tool Segmentation using Kinematic Information
Cristian da Costa Rocha, Nicolas Padoy, Benoît Rosa
2022 International Conference on Robotics and Automation (ICRA) (2019)
Open Access | Times Cited: 45
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean‐Philippe Thiran, et al.
Lecture notes in computer science (2020), pp. 309-319
Closed Access | Times Cited: 41
Videomics: bringing deep learning to diagnostic endoscopy
Alberto Paderno, F. Christopher Holsinger, Cesare Piazza
Current Opinion in Otolaryngology & Head & Neck Surgery (2021) Vol. 29, Iss. 2, pp. 143-148
Closed Access | Times Cited: 36
Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification
Aiham Taleb, Csaba Rohrer, Benjamin Bergner, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1237-1237
Open Access | Times Cited: 25
Artificial intelligence for renal cancer: From imaging to histology and beyond
Karl‐Friedrich Kowalewski, Luisa Egen, Chanel Fischetti, et al.
Asian journal of urology (2022) Vol. 9, Iss. 3, pp. 243-252
Open Access | Times Cited: 24
SAF-IS: A spatial annotation free framework for instance segmentation of surgical tools
Luca Sestini, Benoît Rosa, Elena De Momi, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103471-103471
Closed Access
Applications of Artificial Intelligence in Minimally Invasive Surgery Training: A Scoping Review
Daniel Caballero, Juan A. Sánchez‐Margallo, Manuel J. Pérez-Salazar, et al.
Surgeries (2025) Vol. 6, Iss. 1, pp. 7-7
Open Access
Self-supervised Learning for Endoscopic Video Analysis
Roy Hirsch, Mathilde Caron, Regev Cohen, et al.
Lecture notes in computer science (2023), pp. 569-578
Closed Access | Times Cited: 12
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images
Ke Yu, Li Sun, Junxiang Chen, et al.
Medical Image Analysis (2023) Vol. 92, pp. 103062-103062
Closed Access | Times Cited: 11
EasyLabels: weak labels for scene segmentation in laparoscopic videos
Félix Fuentes-Hurtado, Abdolrahim Kadkhodamohammadi, Evangello Flouty, et al.
International Journal of Computer Assisted Radiology and Surgery (2019) Vol. 14, Iss. 7, pp. 1247-1257
Closed Access | Times Cited: 33
Unravelling the effect of data augmentation transformations in polyp segmentation
Luisa F. Sánchez‐Peralta, Artzai Picón, Francisco M. Sánchez-Margallo, et al.
International Journal of Computer Assisted Radiology and Surgery (2020) Vol. 15, Iss. 12, pp. 1975-1988
Open Access | Times Cited: 30
Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation
Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, et al.
Lecture notes in computer science (2020), pp. 784-794
Closed Access | Times Cited: 30
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Zixu Zhao, Yueming Jin, Xiaojie Gao, et al.
Lecture notes in computer science (2020), pp. 679-689
Closed Access | Times Cited: 29
A Kinematic Bottleneck Approach for Pose Regression of Flexible Surgical Instruments Directly From Images
Luca Sestini, Benoît Rosa, Elena De Momi, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 2938-2945
Open Access | Times Cited: 23
Self-supervised multimodal reconstruction of retinal images over paired datasets
Álvaro S. Hervella, José Rouco, Jorge Novo, et al.
Expert Systems with Applications (2020) Vol. 161, pp. 113674-113674
Open Access | Times Cited: 26
LRTD: long-range temporal dependency based active learning for surgical workflow recognition
Xueying Shi, Yueming Jin, Qi Dou, et al.
International Journal of Computer Assisted Radiology and Surgery (2020) Vol. 15, Iss. 9, pp. 1573-1584
Closed Access | Times Cited: 26
Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction
Álvaro S. Hervella, José Rouco, Jorge Novo, et al.
Applied Soft Computing (2020) Vol. 91, pp. 106210-106210
Open Access | Times Cited: 25
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Daochang Liu, Yuhui Wei, Tingting Jiang, et al.
Lecture notes in computer science (2020), pp. 657-667
Closed Access | Times Cited: 23
Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation
Xiaowen Kong, Yueming Jin, Qi Dou, et al.
International Journal of Computer Assisted Radiology and Surgery (2021) Vol. 16, Iss. 9, pp. 1607-1614
Closed Access | Times Cited: 18
The importance of machine learning in autonomous actions for surgical decision making
Martin Wagner, Sebastian Bodenstedt, Marie Daum, et al.
Artificial Intelligence Surgery (2022) Vol. 2, Iss. 2, pp. 64-79
Open Access | Times Cited: 13

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