Enhancing MR image segmentation with realistic adversarial data augmentation
2022 · Medical Image Analysis · 59 citations
https://doi.org/10.1016/j.media.2022.102597
G
Giacomo Tarroni
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Giacomo Tarroni is an academic researcher from St George's, University of London. The author has contributed to research in topics: Medical Image Segmentation Techniques & Advanced MRI Techniques and Applications & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 21, co-authored 92 publications.
ORCID: 0000-0002-0341-6138Papers by this author
worksArtificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
2023 · Insights into Imaging · 43 citations
https://doi.org/10.1186/s13244-023-01372-2
Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank
2020 · Scientific Reports · 34 citations
https://doi.org/10.1038/s41598-020-58212-2
3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders
2019 · 5 citations
https://doi.org/10.1109/isbi.2019.8759328
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 · Nature Communications · 5 citations
https://doi.org/10.1038/s41467-025-60466-1
Automated quantification of myocardial perfusion based on segmentation and non-rigid registration of contrast-enhanced cardiac magnetic resonance images
2011 · Journal of Cardiovascular Magnetic Resonance · 1 citations
https://doi.org/10.1186/1532-429x-13-s1-p91
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