ReviewFrontiers in public health2020
Generative Adversarial Networks and Its Applications in Biomedical Informatics.
Review in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic Performance of Generative Adversarial Network-Based Deep Learning Methods for Alzheimer's Disease: A Systematic Review and Meta-Analysis.Frontiers in aging neuroscience · 2022Pooled it
- Bridging the resources gap: deep learning for fluorescein angiography and optical coherence tomography macular thickness map image translation.BMC ophthalmology · 2022Trial
- MRI-Based Quantitative Assessment of Normal-Appearing White and Gray Matter Demyelination in Multiple Sclerosis, Parkinson's Disease, Long COVID, and Normal Aging.Biomedicines · 2026Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- End-to-end non-invasive ECG signal generation from PPG signal: a self-supervised learning approach.Frontiers in physiology · 2026Article
- Integration of Generative AI with Human Expertise in HEOR: A Hybrid Intelligence Framework.Advances in therapy · 2025Review
- Overall Survival of Hungarian Cancer Patients Diagnosed Between 2011 and 2019, Based on the Health Insurance Fund Database.Cancers · 2025Article
- A Future Picture: A Review of Current Generative Adversarial Neural Networks in Vitreoretinal Pathologies and Their Future Potentials.Biomedicines · 2025Review
- A review of AI-based radiogenomics in neurodegenerative disease.Frontiers in big data · 2025Review
- Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.Frontiers in artificial intelligence · 2025Review
- Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset.PeerJ. Computer science · 2025Article
- Deep learning-based design and experimental validation of a medicine-like human antibody library.Briefings in bioinformatics · 2024Article
- Generative Adversarial Networks for Brain MRI Synthesis: Impact of Training Set Size on Clinical Application.Journal of imaging informatics in medicine · 2024Article
- DEEP LEARNING FOR AUTOMATED DETECTION OF BREAST CANCER IN DEEP ULTRAVIOLET FLUORESCENCE IMAGES WITH DIFFUSION PROBABILISTIC MODEL.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- The effect of data transformation on low-dimensional integration of single-cell RNA-seq.BMC bioinformatics · 2024Article
- Improved bioimpedance spectroscopy tissue classification through data augmentation from generative adversarial networks.Medical & biological engineering & computing · 2024Article
- GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides.Scientific reports · 2024Article
- Generative AI in healthcare: an implementation science informed translational path on application, integration and governance.Implementation science : IS · 2024Review
- Introducing SPINE: A Holistic Approach to Synthetic Pulmonary Imaging Evaluation Through End-to-End Data and Model Management.IEEE open journal of engineering in medicine and biology · 2024Article
- Artificial intelligence in Immuno-genetics.Bioinformation · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn the generative model of any data distribution through adversarial methods with excellent performance. It has been widely applied to different areas since it was proposed in 2014. In this review, we introduced the origin, specific working principle, and development history of GAN, various applications of GAN in digital image processing, Cycle-GAN, and its application in medical imaging analysis, as well as the latest applications of GAN in medical informatics and bioinformatics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.