Do 3D Medical Foundation Models See Through MRI Artifacts? A Controlled Study of Representation Robustness

arXiv:2608.06613 · cs.CV, cs.AI · Submitted 2026-08-06 · Read on arXiv

Julia Anna Mielcarz, Daniel Klaaby, Mostafa Mehdipour Ghazi

cs.CV, cs.AI

Submitted: 2026-08-06

Updated: 2026-08-10

Comments: Accepted at the ECCV 2026 Workshop on Artificial Intelligence for Medical 3D Vision (AI4M3D)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 42× in this paper · explained in 5 episodes
• Foundation Model — 26× in this paper · explained in 3 episodes
• Foundation Models — 22× in this paper · explained in 7 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Effective Rank — 6× in this paper · explained in 2 episodes
• Distillation — 5× in this paper · explained in 2 episodes
• Self-Distillation — 5× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Contrastive Learning — 4× in this paper · explained in 7 episodes
• Representation Geometry — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Transformer — 3× in this paper · explained in 2 episodes
• Centered Kernel Alignment (CKA) — 2× in this paper · explained in 3 episodes
• Self-Supervised Learning — 2× in this paper · explained in 8 episodes
• Self-supervised Pretraining — 2× in this paper · explained in 2 episodes
• Singular Vector Canonical Correlation Analysis — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distribution Shift — 1× in this paper · explained in 9 episodes
• Distribution Shifts — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Representational Similarity Analysis — 1× in this paper
• Shortcut Learning — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Training Objective — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 13 episodes
• Transformers — 1× in this paper · explained in 2 episodes

Sources

• A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging
• Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects

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