Two Breast MRI Papers Accepted to MICCAI Deep-Breath Workshop!

🎉 Thrilled to share that two of our papers on breast MRI have been accepted to the Deep-Breath Workshop at MICCAI 2025!

🧠 The first paper presents the most comprehensive breast MRI segmentation dataset to date, covering a wide range of anatomical structures. We hope this effort can lay the foundation for future research in breast composition analysis, risk stratification, and AI-driven screening tools.

🌀 The second paper focuses on generalizable breast MRI registration, addressing the challenge of aligning highly deformable anatomy across patients and imaging sessions. We demonstrate the power of foundation model features and training-free registration strategies to enable robust alignment without manual annotation.

We believe these works together push toward more generalizable, scalable, and interpretable tools for breast MRI analysis.

🚀 Stay tuned — datasets, code, and more resources will be released soon. Big thanks to the Deep-Breath organizers and all our co-authors and collaborators!