Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

no code implementations • 31 Jul 2019 • Ryutaro Tanno, Daniel Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

Here we introduce methods to characterise different components of uncertainty in such problems and demonstrate the ideas using diffusion MRI super-resolution.

Bayesian Inference Image Enhancement +4

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution

no code implementations • 1 May 2017 • Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

In this work, we investigate the value of uncertainty modeling in 3D super-resolution with convolutional neural networks (CNNs).

Bayesian Inference Image Generation +1