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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:

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 1-25 of 65 citing articles:

Deep Learning Model for the Automatic Classification of White Blood Cells
Sarang Sharma, Sheifali Gupta, Deepali Gupta, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 148
Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges
Éloi Zablocki, Hedi Ben-younes, Patrick Pérez, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 10, pp. 2425-2452
Open Access | Times Cited: 126
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection
Changhee Han, Yoshiro Kitamura, Akira Kudo, et al.
2021 International Conference on 3D Vision (3DV) (2019), pp. 729-737
Open Access | Times Cited: 130
Image Generation: A Review
Mohamed O. Elasri, Omar Elharrouss, Somaya Al‐Maadeed, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 5, pp. 4609-4646
Closed Access | Times Cited: 68
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review
Alceu Bissoto, Eduardo Valle, Sandra Avila
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 1847-1856
Open Access | Times Cited: 61
The Role of Generative Adversarial Network in Medical Image Analysis: An In-depth Survey
Manal Alamir, Manal Alghamdi
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-36
Closed Access | Times Cited: 60
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation
Florian Kromp, Lukas Fischer, Eva Bozsaky, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 7, pp. 1934-1949
Open Access | Times Cited: 59
Learning More with Less
Changhee Han, Kohei Murao, Tomoyuki Noguchi, et al.
(2019), pp. 119-127
Open Access | Times Cited: 72
Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)
Kevin Barrera, Anna Merino, Ángel Molina, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107314-107314
Open Access | Times Cited: 33
Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis
Guido de Jong, E. J. K. Bijlsma, Jene W. Meulstee, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 48
Probabilistic Machine Learning for Healthcare
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, et al.
Annual Review of Biomedical Data Science (2021) Vol. 4, Iss. 1, pp. 393-415
Open Access | Times Cited: 39
CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data
Yunheng Wu, Martin J. Menten, Linus Kreitner, et al.
Lecture notes in computer science (2025), pp. 108-118
Closed Access
Generating realistic single-cell images from CellProfiler representations
Yan-ni JI, Marie F.A. Cutiongco, Bjørn Sand Jensen, et al.
Medical Image Analysis (2025), pp. 103574-103574
Closed Access
Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data
Jeya Maria Jose Valanarasu, Rajeev Yasarla, Puyang Wang, et al.
IEEE Journal of Selected Topics in Signal Processing (2020) Vol. 14, Iss. 6, pp. 1221-1234
Open Access | Times Cited: 29
Examination of blood samples using deep learning and mobile microscopy
Juliane Pfeil, Alina Nechyporenko, Marcus Frohme, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 16
Feature Fusion Based Ensemble of Deep Networks for Acute Leukemia Diagnosis Using Microscopic Smear Images
Md Hasib Al Muzdadid Haque Himel, Md. Al Mehedi Hasan, Taro Suzuki, et al.
IEEE Access (2024) Vol. 12, pp. 54758-54771
Open Access | Times Cited: 3
Synthetic augmentation for semantic segmentation of class imbalanced biomedical images: A data pair generative adversarial network approach
Lu Chai, Zidong Wang, Jianqing Chen, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 105985-105985
Closed Access | Times Cited: 15
Generative modeling of living cells with SO(3)-equivariant implicit neural representations
David Wiesner, Julian Suk, Sven Dummer, et al.
Medical Image Analysis (2023) Vol. 91, pp. 102991-102991
Open Access | Times Cited: 8
Implementing machine learning methods for imaging flow cytometry
Sadao Ota, Issei Sato, Ryoichi Horisaki
Microscopy (2020) Vol. 69, Iss. 2, pp. 61-68
Open Access | Times Cited: 21
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 13, pp. 7393-7408
Closed Access | Times Cited: 20
Generative data augmentation by conditional inpainting for multi-class object detection in infrared images
Peng Wang, Zhe Ma, Bo Dong, et al.
Pattern Recognition (2024) Vol. 153, pp. 110501-110501
Open Access | Times Cited: 2
Implicit Neural Representations for Generative Modeling of Living Cell Shapes
David Wiesner, Julian Suk, Sven Dummer, et al.
Lecture notes in computer science (2022), pp. 58-67
Open Access | Times Cited: 11
Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation Strategy
Wenshan Wu, Yuhao Lu, Ravikiran Mane, et al.
(2020)
Closed Access | Times Cited: 16
Virtual contrast enhancement for CT scans of abdomen and pelvis
Jingya Liu, Yingli Tian, Cihan Düzgöl, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 100, pp. 102094-102094
Open Access | Times Cited: 10
Histopathological Image Synthesis with Generative Adversarial Networks for Nuclei Segmentation
Mahesh Gour, Reenu Rajpoot, Sweta Jain
SN Computer Science (2023) Vol. 5, Iss. 1
Closed Access | Times Cited: 5
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