Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

SinGAN-Seg: Synthetic training data generation for medical image segmentation
Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0267976-e0267976
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms
Yongye Su, Qian Liu, Wentao Xie, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106903-106903
Closed Access | Times Cited: 85
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models
Muhammad Usman Akbar, Måns Larsson, Ida Blystad, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 19
A survey on deep learning for polyp segmentation: techniques, challenges and future trends
Jiaxin Mei, Tao Zhou, Kaiwen Huang, et al.
Visual Intelligence (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 4
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102704-102704
Open Access | Times Cited: 43
Evaluating Synthetic Medical Images Using Artificial Intelligence with the GAN Algorithm
Akmalbek Abdusalomov, Rashid Nasimov, Nigorakhon Nasimova, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3440-3440
Open Access | Times Cited: 33
Medical Image Classification Using Light-Weight CNN With Spiking Cortical Model Based Attention Module
Quan Zhou, Zhiwen Huang, Mingyue Ding, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 4, pp. 1991-2002
Closed Access | Times Cited: 25
medigan: a Python library of pretrained generative models for medical image synthesis
Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 06
Open Access | Times Cited: 25
Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang, Yushu Zhang, Shuren Qi, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 4, pp. 1-34
Open Access | Times Cited: 12
Self-improving generative foundation model for synthetic medical image generation and clinical applications
Jinzhuo Wang, Kai Wang, Yunfang Yu, et al.
Nature Medicine (2024)
Closed Access | Times Cited: 10
Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’
Kishan Govind, Daniela Oliveros, A. Dlouhý, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 015006-015006
Open Access | Times Cited: 7
Using diffusion models to generate synthetic labeled data for medical image segmentation
Daniel Saragih, Atsuhiro Hibi, Pascal N. Tyrrell
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 8, pp. 1615-1625
Closed Access | Times Cited: 7
Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence
Lennart Johannes Gruber, Jan Egger, Andrea Bönsch, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122275-122275
Open Access | Times Cited: 14
DOVE: Doodled vessel enhancement for photoacoustic angiography super resolution
Yuanzheng Ma, Wangting Zhou, Rui Ma, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103106-103106
Closed Access | Times Cited: 5
Synthesized colonoscopy dataset from high-fidelity virtual colon with abnormal simulation
Dongdong He, Ziteng Liu, Xunhai Yin, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109672-109672
Closed Access
Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities
Abdullah Hosseini, Ahmed Serag
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Guided synthesis of annotated lung CT images with pathologies using a multi-conditioned denoising diffusion probabilistic model (mDDPM)
Arjun Krishna, Ge Wang, Klaus Mueller
Physics in Medicine and Biology (2025) Vol. 70, Iss. 6, pp. 065007-065007
Closed Access
3D U‐Net‐Based Brain Tumor Semantic Segmentation Using a Modified Data Generator
Dinesh Kumar, Dimple Sethi, Wagaye Tadele Kussa, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
Generative adversarial networks in medical image reconstruction: A systematic literature review
Jabbar Hussain, Magnus Båth, Jonas Ivarsson
Computers in Biology and Medicine (2025) Vol. 191, pp. 110094-110094
Open Access
On the Adoption of Modern Technologies to Fight the COVID-19 Pandemic: A Technical Synthesis of Latest Developments
Abdul Majeed, Xiaohan Zhang
COVID (2023) Vol. 3, Iss. 1, pp. 90-123
Open Access | Times Cited: 12
EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm
Olaide N. Oyelade, Absalom E. Ezugwu
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104734-104734
Closed Access | Times Cited: 11
Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology
Nikos Sourlos, Rozemarijn Vliegenthart, João Santinha, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Few-Shot Learning for Medical Image Segmentation Using 3D U-Net and Model-Agnostic Meta-Learning (MAML)
A. Al-Saleh, Eid Albalawi, Abdulelah Algosaibi, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1213-1213
Open Access | Times Cited: 3
Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning
Simeon Stevenson Turay, Charles A. Adams, Augustus Ababio-Donkor
Transportation Planning and Technology (2024), pp. 1-30
Closed Access | Times Cited: 3
A Paradigm Shift From an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis
Sahil Waqar, Muhammad Muaaz, Stephan Sigg, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16614-16628
Open Access | Times Cited: 2
Synthetic data in radiological imaging: Current state and future outlook
Elena Sizikova, Andreu Badal, Jana G. Delfino, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top