Diagnostic-Guided Longitudinal Modeling for Forecasting Retinal Atrophy Progression
Temporal Retinal U-Net is developed, a deterministic single-pass predictor conditioned on irregular imaging history and prediction horizon that achieved the strongest overall performance among the evaluated classical and deep-learning comparators on image-level and eye-specific progression measures.