SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation

SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation

Summary: While individual MRI snapshots provide valuable insights, the longitudinal progression in repeated MRIs often holds more significant diagnostic and prognostic value. However, a scarcity of longitudinal datasets, comprising paired initial and follow-up scans, hinders the application of machi...

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Bibliographic Details
Main Authors: Brandon Theodorou, Anant Dadu, Mike Nalls, Faraz Faghri, Jimeng Sun
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Patterns
Subjects:
machine learning in healthcare
generative modeling
diffusion models
imputation
augmentation
longitudinal MRI
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389925000601
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