4 papers
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task
Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Serap Aydin +1
Resting-state brain networks represent the intrinsic state of the brain during the majority of cognitive and sensorimotor tasks. However, no study has yet presented concise predict…
Neural Signatures of Motor Skill in the Resting Brain
Ozan Özdenizci, Timm Meyer, Felix Wichmann +4
Stroke-induced disturbances of large-scale cortical networks are known to be associated with the extent of motor deficits. We argue that identifying brain networks representative o…
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-photon microscopy images
Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen +2
Data driven segmentation is an important initial step of shape prior-based segmentation methods since it is assumed that the data term brings a curve to a plausible level so that s…
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method
Fitsum Mesadi, Mujdat Cetin, Tolga Tasdizen
Level set methods are widely used for image segmentation because of their capability to handle topological changes. In this paper, we propose a novel parametric level set method ca…