UniReg: Conditional Unified Model for Medical Image Registration

arXiv:2503.12868 · cs.CV · Submitted 2025-03-17 · Read on arXiv

cs.CV

Submitted: 2025-03-17

Updated: 2026-09-17

Code: https://github.com/Alison-brie/UniReg

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• Alignment — 13× in this paper · explained in 1 episode
• Regularization — 13× in this paper · explained in 3 episodes
• Generalization — 11× in this paper · explained in 13 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Unified Framework — 4× in this paper · explained in 5 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Hypernetwork — 2× in this paper · explained in 2 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Self-Supervised Learning — 2× in this paper · explained in 7 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• HyperNetworks
• SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation

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