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M&Ms-winning nnU-Net ensemble

DKFZ (Full, Isensee, Jager, Maier-Hein) · Task114_heart_mnms · 2021

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Code & model weights public

Ensemble of ten self-configuring nnU-Net models (five 2D, five 3D) that segments the left ventricle, right ventricle, and myocardium from short-axis cardiac cine MRI. Won the 2020 M&Ms challenge, a multi-centre, multi-vendor, multi-disease benchmark spanning scanners from four vendors and three countries, demonstrating strong generalization across acquisition protocols. Developed by DKFZ, the group behind the widely used nnU-Net framework.

Cardiac MRI

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Cardiac MRI

Cardiac chamber segmentation

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Structural Heart & Cardiomyopathy

Segmentation

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Segmentation & Detection

Hybrid

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Hybrid / Multi-branch

PyTorch

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PyTorch

CC BY 4.0

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Open — Attribution


Model ID: 0005

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Subject Count: 350