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eess.IV2019
Chest CT Super-resolution and Domain-adaptation using Memory-efficient 3D Reversible GANs
Tycho F. A. van der Ouderaa, Daniel E. Worrall, Bram van Ginneken
Recently, paired (e.g. Pix2pix) and unpaired (e.g. CycleGAN) image-to-image translation methods have shown effective in medical imaging tasks. In practice, however, it can be diffi…
eess.IV2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Ryutaro Tanno, Daniel Worrall, Enrico Kaden +6
Deep learning (DL) has shown great potential in medical image enhancement problems, such as super-resolution or image synthesis. However, to date, little consideration has been giv…