101 citations · 151 across the 18 of their papers we have counts for
3 papers · 1 filter
Bayesian Image Reconstruction using Deep Generative Models
Razvan V Marinescu, Daniel Moyer, Polina Golland
Machine learning models are commonly trained end-to-end and in a supervised setting, using paired (input, output) data. Examples include recent super-resolution methods that train…
DEMI: Discriminative Estimator of Mutual Information
Ruizhi Liao, Daniel Moyer, Polina Golland +1
Estimating mutual information between continuous random variables is often intractable and extremely challenging for high-dimensional data. Recent progress has leveraged neural net…
Overview of Scanner Invariant Representations
Daniel Moyer, Greg Ver Steeg, Paul M. Thompson
Pooled imaging data from multiple sources is subject to bias from each source. Studies that do not correct for these scanner/site biases at best lose statistical power, and at wors…