MAMA Research represent a comprehensive umbrella initiative dedicated to advancing artificial intelligence and machine learning solutions in breast cancer diagnosis, analysis, and treatment. By bringing together diverse imaging tasks, datasets, and evaluation frameworks, the MAMA Research foster innovation and collaboration among researchers, clinicians, and industry experts to improve breast cancer detection, characterization, and management through encouraging cutting-edge computational approaches.
We are excited to announce the MAMA-SYNTH challenge, focusing on synthesizing virtual contrast-enhanced breast MRI. This challenge has been accepted at the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026) and is organized in collaboration with the Deep-Breath Workshop 2026. We invite you to visit the MAMA-SYNTH page for more details!
The inaugural MAMA-MIA challenge for Primary Tumor Segmentation and Pathologic Complete Response Prediction, hosted jointly with MICCAI 2025 and Deep Breath workshop has been officially concluded with remarkable participation from 26 international teams.
🚀 Validate your algorithms on the long term benchmark now! 🏆
📄 Look at the arXiv version of our paper summarizing the challenge! 🔗
Explore our repositories, contribute to the challenges, and join our community on GitHub
Visit MAMA-RESEARCH on GitHub