A generalizable structural brain MRI foundation model built through dual-priority federated pretraining

arXiv:2609.27611 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/SPIresearch/BrainFedFM

Terminology

• Foundation Model — 38× in this paper · explained in 3 episodes
• Adaptation — 28× in this paper · explained in 1 episode
• Accuracy — 27× in this paper · explained in 1 episode
• Aggregation — 25× in this paper · explained in 1 episode
• Foundation Models — 17× in this paper · explained in 7 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Fine-Tuning — 13× in this paper · explained in 5 episodes
• Calibration — 6× in this paper · explained in 7 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Downstream Tasks — 4× in this paper · explained in 2 episodes
• Federated Learning — 4× in this paper · explained in 15 episodes
• Self-Supervised Learning — 4× in this paper · explained in 8 episodes
• nnU-Net — 4× in this paper · explained in 2 episodes
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Generalizability — 3× in this paper · explained in 6 episodes
• AUROC — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Local Optimization — 2× in this paper · explained in 2 episodes
• Non-IID Data — 2× in this paper · explained in 2 episodes
• Reconstruction Error — 2× in this paper · explained in 2 episodes
• AI Foundation Model — 1× in this paper · explained in 1 episode
• AUC — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Imaging Database for Epilepsy and Surgery — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models