1. Andermatt, S., Horváth, A., Pezold, S., Cattin, P., Pathology segmentation using distributional differences to images of healthy origin. arXiv:1805.10344
2. Semi-supervised learning for network-based cardiac MR image segmentation;Bai,2017
3. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?;Bernard;IEEE Trans. Med. Imaging,2018
4. Bowles, C., Chen, L., Guerrero, R., Bentley, P., Gunn, R., Hammers, A., Dickie, D. A., Hernández, M. V., Wardlaw, J., Rueckert, D., GAN Augmentation: augmenting training data using generative adversarial networks. arXiv:1810.10863
5. Can, Y., Chaitanya, K., Mustafa, B., Koch, L., Konukoglu, E., Baumgartner, C., Learning to segment medical images with scribble-supervision alone. arXiv:1807.04668v1