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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 1-25 of 136 citing articles:

Generative adversarial network in medical imaging: A review
Yi Xin, Ekta Walia, Paul Babyn
Medical Image Analysis (2019) Vol. 58, pp. 101552-101552
Open Access | Times Cited: 1486
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
Medical Image Analysis (2019) Vol. 54, pp. 280-296
Open Access | Times Cited: 769
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101693-101693
Open Access | Times Cited: 719
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 341
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya, et al.
Medical Image Analysis (2021) Vol. 76, pp. 102306-102306
Open Access | Times Cited: 220
Models Genesis
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101840-101840
Open Access | Times Cited: 203
Deep learning for biomedical photoacoustic imaging: A review
Janek Gröhl, Melanie Schellenberg, Kris K. Dreher, et al.
Photoacoustics (2021) Vol. 22, pp. 100241-100241
Open Access | Times Cited: 190
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, et al.
Lecture notes in computer science (2019), pp. 810-818
Closed Access | Times Cited: 152
Self-supervised learning methods and applications in medical imaging analysis: a survey
Saeed Shurrab, Rehab Duwairi
PeerJ Computer Science (2022) Vol. 8, pp. e1045-e1045
Open Access | Times Cited: 149
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
Wenjia Bai, Chen Chen, Giacomo Tarroni, et al.
Lecture notes in computer science (2019), pp. 541-549
Closed Access | Times Cited: 144
A systematic review on artificial intelligence in robot-assisted surgery
Andrea Moglia, Κωνσταντίνος Γεωργίου, Evangelos Georgiou, et al.
International Journal of Surgery (2021) Vol. 95, pp. 106151-106151
Open Access | Times Cited: 111
Robot-Assisted Minimally Invasive Surgery—Surgical Robotics in the Data Age
Tamás Haidegger, Stefanie Speidel, Danail Stoyanov, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 7, pp. 835-846
Open Access | Times Cited: 99
Computer vision in surgery
Thomas M. Ward, Pietro Mascagni, Yutong Ban, et al.
Surgery (2020) Vol. 169, Iss. 5, pp. 1253-1256
Closed Access | Times Cited: 120
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 118
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, et al.
Medical Image Analysis (2018) Vol. 52, pp. 24-41
Open Access | Times Cited: 99
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2857-2868
Open Access | Times Cited: 96
Heidelberg colorectal data set for surgical data science in the sensor operating room
Lena Maier‐Hein, Martin Wagner, Tobias Roß, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 78
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet
Nan Wang, Shaohui Lin, Xiaoxiao Li, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 9, pp. 2740-2750
Open Access | Times Cited: 30
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation
Luca Sestini, Benoît Rosa, Elena De Momi, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102751-102751
Open Access | Times Cited: 25
Dissecting self-supervised learning methods for surgical computer vision
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102844-102844
Open Access | Times Cited: 25
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
Nima Tajbakhsh, Yufei Hu, Junli Cao, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2019), pp. 1251-1255
Open Access | Times Cited: 68
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
Lecture notes in computer science (2020), pp. 137-147
Open Access | Times Cited: 67
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions
Tom Vercauteren, Mathias Unberath, Nicolas Padoy, et al.
Proceedings of the IEEE (2019) Vol. 108, Iss. 1, pp. 198-214
Open Access | Times Cited: 64
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Zekun Li, Wei Zhao, Feng Shi, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101978-101978
Open Access | Times Cited: 55
Artificial Intelligence-Assisted Surgery: Potential and Challenges
Sebastian Bodenstedt, Martin Wagner, Beat P. Müller‐Stich, et al.
Visceral Medicine (2020) Vol. 36, Iss. 6, pp. 450-455
Open Access | Times Cited: 50
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