output
20032026
most citedGPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

399 citations

Showing 2015Show all

6 papers · 1 filter

stat.AP2015★ 10 cited

The Gibbs-plaid biclustering model

Thierry Chekouo, Alejandro Murua, Wolfgang Raffelsberger

We propose and develop a Bayesian plaid model for biclustering that accounts for the prior dependency between genes (and/or conditions) through a stochastic relational graph. This…

stat.AP2015★ 16 cited

Combining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors

Thomas A. Murray, Brian P. Hobbs, Bradley P. Carlin

Conventional approaches to statistical inference preclude structures that facilitate incorporation of supplemental information acquired from similar circumstances. For example, the…

stat.AP2015★ 2 cited

A Decision-Theoretic Comparison of Treatments to Resolve Air Leaks After Lung Surgery Based on Nonparametric Modeling

Yanxun Xu, Peter F. Thall, Peter Mueller +1

We propose a Bayesian nonparametric utility-based group sequential design for a randomized clinical trial to compare a gel sealant to standard care for resolving air leaks after pu…

cs.CV2015★ 7 cited

Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning

Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga +2

In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as pre…

astro-ph.SR2015★ 104 cited

FM stars II: a Fourier view of pulsating binary stars -- determining binary orbital parameters photometrically for highly eccentric cases

Hiromoto Shibahashi, Donald W. Kurtz, Simon J. Murphy

Continuous and precise space-based photometry has made it possible to measure the orbital frequency modulation of pulsating stars in binary systems with extremely high precision ov…

cs.CV2015★ 45 cited

DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification

Tiep H. Vu, Hojjat S. Mousavi, Vishal Monga +2

In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as pre…