142 citations · 349 across the 13 of their papers we have counts for
4 papers · 1 filter
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images
Akshay Pai, Stefan Sommer, Lars Lau Raket +4
Template estimation plays a crucial role in computational anatomy since it provides reference frames for performing statistical analysis of the underlying anatomical population var…
Label Stability in Multiple Instance Learning
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax +2
We address the problem of \emph{instance label stability} in multiple instance learning (MIL) classifiers. These classifiers are trained only on globally annotated images (bags), b…
Classification of COPD with Multiple Instance Learning
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax +3
Chronic obstructive pulmonary disease (COPD) is a lung disease where early detection benefits the survival rate. COPD can be quantified by classifying patches of computed tomograph…
Transfer learning for multi-center classification of chronic obstructive pulmonary disease
Veronika Cheplygina, Isabel Pino Peña, Jesper Holst Pedersen +3
Chronic obstructive pulmonary disease (COPD) is a lung disease which can be quantified using chest computed tomography (CT) scans. Recent studies have shown that COPD can be automa…