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Convolutional Neural Networks (CNNs) have been providing the state-of-the-art performance for learning-related problems involving 2D/3D images in Euclidean space.
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Meng, Y., Li, G., Rekik, I., Zhang, H., Gao, Y., Lin, W., Shen, D.: Can we predict subject-specific dynamic cortical thickness maps during infancy from birth? Human brain mapping 38
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Wu, Z., Li, G., Wang, L., Shi, F., Lin, W., Gilmore, J.H., Shen, D.: Registration-free infant cortical surface parcellation using deep convolutional neural networks. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 672–680. Springer (2018)
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