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ESANN
2008
15 years 8 months ago
A neural model with feedback for robust disambiguation of motion
Abstract. The aperture problem is a direct consequence of any local detection in the visual perception of motion. It results in ambiguous responses of the local motion detectors. B...
Mauricio Cerda, Bernard Girau
MICCAI
2010
Springer
15 years 4 months ago
Joint Generative Model for fMRI/DWI and Its Application to Population Studies
Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of late...
Archana Venkataraman, Yogesh Rathi, Marek Kubicki,...
MICCAI
2008
Springer
16 years 7 months ago
Kinetic Modeling Based Probabilistic Segmentation for Molecular Images
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
MICCAI
2005
Springer
16 years 7 months ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...
IJCNN
2006
IEEE
16 years 15 days ago
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Zhidong Deng, Yi Zhang