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PRNI 2011: Seoul, South Korea
- 2011 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011, Seoul, South Korea, May 16-18, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-0111-5
Session 1: Dimensionality Reduction and Feature Selection
- Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
:
Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. 1-4 - JungHoe Kim, Yong-Hwan Kim
Integration of Structural and Functional MRI Features Improves Mild Cognitive Impairment (MCI) Detection. 5-8 - José Paulo Marques dos Santos
Tackling the Cognitive Processes That Underlie Brands' Assessments Using Artificial Neural Networks and Whole Brain fMRI Acquisitions. 9-12 - Jong-Hwan Lee
Automated Classification of Discrete Human Thoughts Using Functional Magnetic Resonance Imaging (fMRI): Comparison between Voxel-Based and Atlas-Based Feature Selection Methods. 13-16 - Tae-Eui Kam, Seong-Whan Lee:
Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification. 17-20 - Tae-Hoon Lee, Tae-Eui Kam, Sung-Phil Kim:
A P300-Based Hangul Input System with a Hierarchical Stimulus Presentation Paradigm. 21-24 - Heung-Il Suk
Data-Driven Frequency Bands Selection in EEG-Based Brain-Computer Interface. 25-28
Session 2: Brain Networks and Information Mapping
- Malin Björnsdotter
Comparing Clustered and Distributed Sampling for Random Subspace Brain Mapping. 29-32 - Emanuele Olivetti
Testing for Information with Brain Decoding. 33-36 - Kentaro Yamada, Yoichi Miyawaki
Neural Code Converter for Visual Image Representation. 37-40 - Carlton Chu, Daniel A. Handwerker
Measuring the Consistency of Global Functional Connectivity Using Kernel Regression Methods. 41-44 - Jonas Richiardi
Classifying Connectivity Graphs Using Graph and Vertex Attributes. 45-48 - Yoon Gi Chung, Min-Ki Kim, Sung-Phil Kim:
Inter-channel Connectivity of Motor Imagery EEG Signals for a Noninvasive BCI Application. 49-52
Session 3: Learning Methods and Sparsity
- Arnaud P. Fournel, Emanuelle Reynaud
Exploring Whole Brain fMRI Data with Unsupervised Artificial Neural Networks. 53-56 - Paolo Avesani
Learning BOLD Response in fMRI by Reservoir Computing. 57-60 - Hyohyeong Kang, Seungjin Choi:
Bayesian Multi-task Learning for Common Spatial Patterns. 61-64 - Bernard Ng, Rafeef Abugharbieh:
Modeling Spatiotemporal Structure in fMRI Brain Decoding Using Generalized Sparse Classifiers. 65-68 - Rodolphe Jenatton, Alexandre Gramfort
Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. 69-72
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