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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 26-50 of 65 citing articles:

Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
Qi Chen, Mingxing Li, Jiacheng Li, et al.
Lecture notes in computer science (2022), pp. 36-46
Closed Access | Times Cited: 8
Novel Neural Style Transfer based data synthesis method for phase-contrast wound healing assay images
Yusuf Sait Erdem, Leonardo O. Iheme, Mahmut Uçar, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106514-106514
Closed Access | Times Cited: 1
Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition
Zhuangzhuang Chen, Ronghao Lu, Jie Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 16084-16095
Closed Access | Times Cited: 1
Population-scale Genomic Data Augmentation Based on Conditional Generative Adversarial Networks
Junjie Chen, Mohammad Erfan Mowlaei, Xinghua Shi
(2020), pp. 1-6
Closed Access | Times Cited: 11
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
Christoph Reich, Tim Prangemeier, Christian Wildner, et al.
Lecture notes in computer science (2021), pp. 476-486
Closed Access | Times Cited: 10
CS$$^2$$: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
Xiaodan Xing, Jiahao Huang, Nan Yang, et al.
Lecture notes in computer science (2022), pp. 3-12
Closed Access | Times Cited: 7
Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
(2019)
Closed Access | Times Cited: 9
Image factory: A method for synthesizing novel CT images with anatomical guidance
Arjun Krishna, Shanmukha Yenneti, Ge Wang, et al.
Medical Physics (2023) Vol. 51, Iss. 5, pp. 3464-3479
Closed Access | Times Cited: 3
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.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 8
Synthetic Blood Smears Generation Using Locality Sensitive Hashing and Deep Neural Networks
Rabiah Al-qudah, Ching Y. Suen
IEEE Access (2020) Vol. 8, pp. 102530-102539
Open Access | Times Cited: 6
Data Augmentation using Generative Adversarial Network for Gastrointestinal Parasite Microscopy Image Classification
Mila Yoselyn Pacompia Machaca, Milagros Lizet, Eveling Castro-Gutiérrez, et al.
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 11
Open Access | Times Cited: 6
Paediatric Sickle Cell Detection using Deep Learning - A Review
S. Nikkath Bushra, G. Shobana
(2021), pp. 177-183
Closed Access | Times Cited: 6
Generative Adversarial Networks for Morphological–Temporal Classification of Stem Cell Images
Adam Witmer, Bir Bhanu
Sensors (2021) Vol. 22, Iss. 1, pp. 206-206
Open Access | Times Cited: 6
Tubular shape aware data generation for segmentation in medical imaging
Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 6, pp. 1091-1099
Open Access | Times Cited: 4
Probabilistic Machine Learning for Healthcare
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 5
Learning More with Less
Changhee Han, Kohei Murao, Tomoyuki Noguchi, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 4
Functional morpho-densitometric parameters of chromatin of the nucleus and cytoplasm of erythroblasts and red blood cells of birds in postembryonic ontogenesis
Е. А. Колесник, M. Derho, Максим Ребезов
Agrarian Bulletin of the (2024) Vol. 24, Iss. 01, pp. 59-85
Open Access
One-shot neuroanatomy segmentation through online data augmentation and confidence aware pseudo label
Guochen Ning, Guochen Ning, Hanying Liang, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103182-103182
Closed Access
A Comparative Analysis of Eleven Augmentation Techniques for Enhanced Retinal Pathology Recognition
M. Hadef, Said Yacine Boulahia, Abdenour Amamra
Lecture notes in computer science (2024), pp. 110-119
Closed Access
A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation
Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, et al.
(2020), pp. 41-46
Closed Access | Times Cited: 3
Data Augmentation Techniques for Facial Image Generation: A Brief Literature Review
Blanca Elena Cazares, Rogelio Florencia, Vicente García, et al.
Studies in big data (2023), pp. 185-209
Closed Access | Times Cited: 1
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging.
Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
V. Jeya Maria Jose, Rajeev Yasarla, Puyang Wang, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 1
Data Augmentation Using GANs for 3D Applications
Ioannis Maniadis, V. Solachidis, Nicholas Vretos, et al.
Advances in multimedia and interactive technologies book series (2020), pp. 229-269
Closed Access | Times Cited: 1
TreeGAN: Incorporating Class Hierarchy into Image Generation
Ruisi Zhang, Luntian Mou, Pengtao Xie
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1

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