Brain Imaging Generation with Latent Diffusion Models
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Generative adversarial networks and latent diffusion models have been used to create synthetic data sets like brain MRI based on age, sex, and brain structure volumes.
“Generative adversarial networks and latent diffusion models have been used to create synthetic data sets like brain MRI based on age, sex, and brain structure volumes. 41”
From AI pitfalls and what not to do: mitigating bias in AI (2023) · cites this paper as [41]
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References 28 · Cited by 395
- Authors
- Pinaya, W. H. L., Tudosiu, P.-D., Dafflon, J., Da Costa, P. F., Fernandez, V., Nachev, P., Ourselin, S., & Cardoso, M. J.
- Affiliations
- King's College London (GB)
- National Institute of Mental Health (US)
- UCL Queen Square Institute of Neurology (GB)
- Corresponding author
- Pinaya, Walter H. L.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2022
- Pages
- 117-126
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4312749295
- Cited by
- 395
- References
- 28
- Citations by year
- 2026: 85 · 2025: 133 · 2024: 123 · 2023: 53 · 2022: 1
- FWCI
- 27.40
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Funders
- National Institute for Health and Care Research
- European Commission (HORIZON2020, 814302)
- University College London Hospitals NHS Foundation Trust
- Medical Research Council (MC_PC_17228)
- Engineering and Physical Sciences Research Council (EP/R513064/1, WT213038/Z/18/Z)
- National Institute of Mental Health (ZICMH002968)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- medical image synthesis, latent diffusion models, brain MRI, T1-weighted imaging, UK Biobank, data augmentation, generative models
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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