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» Brain state decoding for rapid image retrieval
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MM
2009
ACM
209views Multimedia» more  MM 2009»
13 years 11 months ago
Brain state decoding for rapid image retrieval
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
MICCAI
2010
Springer
13 years 3 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
ICANN
2007
Springer
13 years 10 months ago
Inferring Cognition from fMRI Brain Images
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
Diego Sona, Sriharsha Veeramachaneni, Emanuele Oli...
CHI
2008
ACM
14 years 4 months ago
Rapid image analysis using neural signals
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
ICMCS
2007
IEEE
164views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Medical Visual Information Retrieval: State of the Art and Challenges Ahead
Today’s medical institutions produce enormous amounts of data on patients, including multimedia data, which is increasingly produced in digital form. These data in their clinica...
Henning Müller, Xin Zhou, Adrien Depeursinge,...