Author:
Vasilev Aleksei,Golkov Vladimir,Meissner Marc,Lipp Ilona,Sgarlata Eleonora,Tomassini Valentina,Jones Derek K.,Cremers Daniel
Publisher
Springer International Publishing
Reference20 articles.
1. An, J., Cho, S.: Variational Autoencoder based Anomaly Detection using Reconstruction Probability. Technical Report, SNU Data Mining Center (2015)
2. Goodfellow, I.J., et al.: Generative Adversarial Nets. NIPS 2672–2680 (2014)
3. Golkov, V., et al.: q-space deep learning: twelve-fold shorter and model-free diffusion MRI scans. IEEE Trans. Med. Imaging 35(5), 1344–1351 (2016)
4. Golkov, V., et al.: Model-Free Novelty-Based Diffusion MRI (2016). ISBI 1233-1236
5. Golkov, V., et al.: q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis. ISMRM 5378 (2018)
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