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From Structure to Function and Back Again: A GAN-Guided Diffusion Framework for Generating Clinically Meaningful Multimodal Neuroimaging Data

2026-06-18

Abstract excerpt

<title>Abstract</title> <p>Multimodal brain imaging provides complementary insights into brain structure and function, but its capability is often limited by missing modalities. Traditional imputation and subsampling strategies are computationally simple, but have the risk of introducing bias or discarding valuable samples. Recently, generative models have emerged as powerful alternatives for synthesizing missing...

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Literature Corpus work
3158b5a6-d895-5fb5-abc4-5135c89ecf58
DOI
10.21203/rs.3.rs-9684909/v1
Open publication

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From Structure to Function and Back Again: A GAN-Guided Diffusion Framework for Generating Clinically Meaningful Multimodal Neuroimaging DataDOI 10.21203/rs.3.rs-9684909/v1
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