We are investigating methods to reduce partial volume effect (PVE) in medical images acquired as a series of thick slices, in particular Magnetic Resonance Imaging (MRI) of the hu...
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Computed tomography (CT) has a trend towards higher resolution and higher noise. This development has increased the interest in anisotropic smoothing techniques for CT, which aim t...
Michiel Schaap, Arnold M. R. Schilham, Karel J. Zu...
Most data used in the study of seafloor hydrothermal plumes consists of sonar (acoustic) scans and sensor readings. Visual data captures only a portion of the sonar data range due...
Deborah Silver, Jamshed Dastur, Karen G. Bemis, Kr...