RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

arXiv:2609.03956 · cs.CV, cs.AI, cs.LG · Submitted 2026-09-03 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-09-03

Updated: 2026-09-03

Comments: 11 pages, 2 figures. Preprint version corresponding to the initial submission prior to peer review, submitted as part of our participation in the BraTS 2026 Challenge. The final accepted version will be openly available in the official MICCAI proceedings on the conference website

Code: https://github.com/TomasGuija/rarf

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

Terminology

• Rectified Flow — 8× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Magnetic Resonance Imaging — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes

Sources

• The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
• The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• U-Net Based Healthy 3D Brain Tissue Inpainting

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