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:

Red Blood Cell Image Generation for Data Augmentation Using Conditional Generative Adversarial Networks
Oleksandr Bailo, DongShik Ham, Young Min Shin
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2019)
Open Access | Times Cited: 65

Showing 51-75 of 65 citing articles:

A Survey on Peripheral Blood Smear Analysis Using Deep Learning
Rabiah Al-qudah, Ching Y. Suen
Lecture notes in computer science (2020), pp. 725-738
Closed Access | Times Cited: 1

How Good Is Your Scientific Data Generative Model?
Yuxin Yang, Ben Gremillion, Xitong Zhang, et al.
(2020) Vol. 10574, pp. 96-102
Closed Access | Times Cited: 1

Data Augmentation Technique to Expand Road Dataset Using Mask RCNN and Image Inpainting
Plabon Kumar Saha, Sinthia Ahmed, Tajbiul Ahmed, et al.
2021 International Conference on Intelligent Technologies (CONIT) (2021), pp. 1-6
Closed Access | Times Cited: 1

HistoFlow: Label-Efficient and Interactive Deep Learning Cell Analysis
Tim Henning, Benjamin Bergner, Christoph Lippert
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access

EdgeAugment: Data Augmentation by Fusing and Filling Edge Maps
Bangfeng Xia, Yueling Zhang, Wei-Ting Chen, et al.
Lecture notes in computer science (2020), pp. 504-516
Closed Access

Artificial Intelligence and Malaria
Cécile Nabet, Aniss Acherar, A Huguenin, et al.
Artificial Intelligence in Medicine (2022), pp. 1353-1368
Closed Access

Automated Annotation and Classification of Catheters in Chest X-Rays
Akash Karthikeyan, Saravana Perumaal Subramanian
IFIP advances in information and communication technology (2022), pp. 151-162
Closed Access

LabGAN: Blood Cell Detection Method Based on Automatic Label Generation for Generative Adversarial Network
Qichen Ding, Xiaoqiao Huang, Hongkun Liu, et al.
Journal of Computer-Aided Design & Computer Graphics (2022) Vol. 34, Iss. 07, pp. 1058-1067
Closed Access

Pal-GAN: Palette-conditioned Generative Adversarial Networks
Adam Balint, Graham W. Taylor
Journal of Computational Vision and Imaging Systems (2021) Vol. 6, Iss. 1, pp. 1-5
Open Access

GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review
Alceu Bissoto, Eduardo Valle, Sandra Avila
arXiv (Cornell University) (2021)
Closed Access

Reducing the need for bounding box annotations in Object Detection using Image Classification data
Leonardo Blanger, Nina S. T. Hirata, Xiaoyi Jiang
(2021), pp. 199-206
Closed Access

Data Augmentation Technique to Expand Road Dataset Using Mask RCNN and Image Inpainting
Plabon Kumar Saha, Sinthia Ahmed, Tajbiul Ahmed, et al.
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY (2021) Vol. 7, Iss. 2, pp. 100-106
Open Access

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