Metadata Supervised Imaging Representations for Modelling and Controlling Acquisition Variability

arXiv:2607.11295 · cs.CV · Submitted 2026-07-13 · Read on arXiv

cs.CV

Submitted: 2026-07-13

Updated: 2026-09-21

Code: https://github.com/myigitavci/MaRaI

Terminology

• Embeddings — 29× in this paper · explained in 2 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Representation Learning — 9× in this paper · explained in 2 episodes
• AUC — 8× in this paper · explained in 2 episodes
• Contrastive Learning — 8× in this paper · explained in 5 episodes
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Adaptation — 5× in this paper · explained in 1 episode
• Fidelity — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Domain Shift — 4× in this paper · explained in 4 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Linear Probing — 2× in this paper · explained in 2 episodes
• Linear probe — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects
• ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning
• DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations
• Representation Learning with Contrastive Predictive Coding
• MONAI: An open-source framework for deep learning in healthcare

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