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We propose a new deep learning method for tumour segmentation when dealing with missing imaging modalities.
2014
Earlier work this paper cites.
Kingma, D.P., Welling, M.: Auto-encoding variational bayes. In: ICLR (2014)
2014
Earlier work this paper cites.
Li, R., Zhang, W., Suk, H.I., Wang, L., Li, J., Shen, D., Ji, S.: Deep learning based imaging data completion for improved brain disease diagnosis. In: MICCAI 2014. pp. 305–312. Springer, Cham (2014)
2014
Earlier work this paper cites.
Menze, B.H., et al
2015
Earlier work this paper cites.
Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: MICCAI 2015. pp. 234–241. Springer, Cham (2015)
2015
Earlier work this paper cites.
Havaei, M., Guizard, N., Chapados, N., Bengio, Y.: Hemis: Hetero-modal image segmentation. In: MICCAI 2016. pp. 469–477. Springer, Cham (2016)
2016
Cited alongside, same era.
Milletari, F., N.N., Ahmadi, S.: V-net: Fully convolutional neural networks for volumetric medical image segmentation. In: Inter-national Conference on 3D Vision (3DV),. pp. 565––571 (2016)
2016
Cited alongside, same era.
Sø nderby, C.K., Raiko, T., Maalø e, L., Sø nderby, S.r.K., Winther, O.: Ladder variational autoencoders. In: NeurIPS. pp. 3738–3746 (2016)
2016
Cited alongside, same era.
Zhao, S., Song, J., Ermon, S.: Learning hierarchical features from deep generative models. In: ICML. pp. 4091–4099 (2017)
2017
Cited alongside, same era.
Gibson, E., Li, W., et al
2018
Cited alongside, same era.
Varsavsky, T., et al
2018
Later among the works it cites.
Wu, M., Goodman, N.: Multimodal generative models for scalable weakly-supervised learning. In: NeurIPS. pp. 5580–5590 (2018)
2018
Later among the works it cites.
Isensee, F., et al
2019
Closest in time.
Myronenko, A.: 3d MRI brain tumor segmentation using autoencoder regularization. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. pp. 311–320. Springer, Cham (2019)
2019
Closest in time.
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