AI RESEARCH
TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
arXiv CS.CV
•
ArXi:2501.08667v4 Announce Type: replace-cross Longitudinal brain analysis is essential for understanding healthy aging and identifying pathological deviations. Longitudinal registration of sequential brain MRI underpins such analyses. However, existing methods are limited by reliance on densely sampled time series, a trade-off between accuracy and temporal smoothness, and an inability to prospectively forecast future brain states. To overcome these challenges, we