Official data for the paper: "Deep personalized priors enable high-quality longitudinal MRI with low-cost systems".

Figshare 2026 Dataset Open access

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Authors: Tal Oved, Efrat Shimron, Beatrice Lena, Chloé Najac, ANDREW G. WEBB, Sheng Shen, Matthew Scott Rosen
DOI: 10.6084/m9.figshare.31154503
Cited by: 0

Abstract

Official data for the paper: "Deep personalized priors enable high-quality longitudinal MRI with low-cost systems".No compression.

Fields of Study & Subjects

Advanced MRI Techniques and Applications Image and Signal Denoising Methods Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Figshare
Publication date
26 February 2026
Language
EN
Document type
Dataset