Welcome to the MAMA Challenges! We are dedicated to advancing breast cancer research through open-source code, high-quality datasets, and reproducible AI benchmarks. 🚀

We are proud to showcase the MAMA-MIA Challenge, originally featured at MICCAI 2025! This challenge focuses on large-scale multicenter breast cancer DCE-MRI analysis.

• The Dataset: 1,506 cases of breast cancer DCE-MRI with expert segmentations. Find the dataset here.

• Two Tasks: Automated tumor segmentation and treatment response prediction.

• Evaluation: Validated on private multicenter datasets of 572 patients to ensure real-world robustness and fairness across subgroups.

• Explore the data and challenge repository here: LidiaGarrucho/MAMA-MIA

• Submit your algorithms to our running long-term benchmark for comparison: Codabench

Virtual Contrast-Enhanced Breast MRI Synthesis

We are thrilled to announce MAMA-SYNTH, a challenge dedicated to the future of contrast-free breast imaging.

• Safer Imaging: Reducing reliance on gadolinium-based agents to eliminate safety concerns and contraindications.

• Streamlined Workflow: Lowering clinical costs and patient burden through virtual enhancement.

• Generative Excellence: Utilizing SOTA deep generative modeling to synthesize post-contrast images from pre-contrast acquisitions.

• Image Fidelity: Can synthetic images match the quality of real DCE-MRI?

• Lesion Realism: Ensuring clinically accurate representation of tumors without real contrast.

• Downstream Utility: Validating synthetic data for actual clinical decision-making and treatment monitoring.

Coming Soon! 🚀 Stay tuned to this organization challenge timeline and submission guidelines!