We explore methods for data augmentation in neuroimaging. Specifically, we investigate the use of 3D Transfontanellar Ultrasound (3D US) for augmenting 2D datasets of neonatal neuroimages, and we also synthesize an artificial dataset of images using Generative Adversarial Networks (GANs).
\nThis dataset consists on 2D slices of 3D US of the brain of neonates which has been successfully used to train an unconditional GAN for generating 2D US images as described in the presentation with DOI: 10.5281/zenodo.14917011
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About PARENT
\n
\nPARENT project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Innovative Training Network 2020.
\nGrant Agreement N° 956394
PARENT envisions a multidisciplinary approach to challenge the early diagnosis of newborn motor and cognitive impairments. PARENT will combine the efforts of a multidisciplinary and inter-sectorial network of several leading European research groups, industry partners, pediatric hospitals and associations to develop an innovative training context for 15 Early Stage Researchers (ESRs) within the framework of the European Training Network.
\n\nProject title
\n\nPremAtuRe nEwborn motor and cogNitive impairmenTs: Early diagnosis
\n\nDuration
\n\nNovember 2020 – October 2024
\n\nWeb Site
\n\nhttps://parenth2020.com/
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