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Robin Peretzke

2 accepted papers

2026

CRONOS: Continuous time reconstruction for 4D medical longitudinal series

ICLR 2026poster

Forecasting how 3D medical scans evolve along time is important for disease progression, treatment planning, and developmental assessment. Yet existing models either rely on a single prior scan, fixed grid times, or target global labels, which limits voxel-level forecasting under irregular sampling.…

Cited by 0SourcecodeScholar
2025

An OpenMind for 3D Medical Vision Self-supervised Learning

ICCV 2025poster

The field of self-supervised learning (SSL) for 3D medical images lacks consistency and standardization. While many methods have been developed, it is impossible to identify the current state-of-the-art, due to i) varying and small pretraining datasets, ii) varying architectures, and iii) being eval…