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PRNI 2012: London, UK
- Second International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012, London, United Kingdom, July 2-4, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2182-2
Regularisation and Regression
- Marcel A. J. van Gerven, Tom Heskes
:
A Linear Gaussian Framework for Decoding of Perceived Images. 1-4 - Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil:
Structured Sparsity Models for Brain Decoding from fMRI Data. 5-8 - Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux
Improved Brain Pattern Recovery through Ranking Approaches. 9-12 - Alexandre Gramfort
Decoding Visual Percepts Induced by Word Reading with fMRI. 13-16
Projections, Decompositions, and Transforms
- Loizos Markides, Duncan Fyfe Gillies:
Towards Identification and Characterisation of Selective fMRI Feature Sets Using Independent Component Analysis. 17-20 - Borbála Hunyadi
ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy. 21-24 - Muhammad Naeem, T. Martin McGinnity
Inter-brain Mutual Information in Social Interaction Tasks. 25-28 - Mahdi Ramezani, Purang Abolmaesumi
Joint Sparse Representation of Brain Activity Patterns Related to Perceptual and Cognitive Components of a Speech Comprehension Task. 29-32 - Tianhao Zhang, Theodore D. Satterthwaite, Mark A. Elliott, Ruben C. Gur, Raquel E. Gur, Christos Davatzikos
Multivariate fMRI Analysis Using Optimally-discriminative Voxel-based Analysis. 33-36 - Michael Eickenberg, Alexandre Gramfort
Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas. 37-40
Dimensionality Reduction and Feature Selection
- Nergis Tomen, Makoto Takemiya, Takeshi Matsuo, Isao Hasegawa, Yukiyasu Kamitani:
Feature Space Quantization for Data-Driven Search. 41-44 - Wesley T. Kerr
Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG. 45-48 - Emilio Parrado-Hernández
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. 49-52 - Yannick Schwartz, Gaël Varoquaux
On Spatial Selectivity and Prediction across Conditions with fMRI. 53-56
Multiclass Problems and Methods
- Emanuele Olivetti
Testing Multiclass Pattern Discrimination. 57-60 - Jessica Schrouff
Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation. 61-64 - Lars Hausfeld
Classification and Visualization of Multiclass fMRI Data Using Supervised Self-Organizing Maps. 65-68
Connectivity, Graphs, and Networks
- Félix Renard, Christian Heinrich, Sophie Achard, Edouard Hirsch, Stéphane Kremer:
Statistical Kernel-based Modeling of Connectomes. 69-72 - Harini Eavani, Roman Filipovych, Christos Davatzikos
Sparse Dictionary Learning of Resting State fMRI Networks. 73-76 - Luca Giancardo
Automatic Tractography Analysis through Sparse Networks in Case-Control Studies. 77-80 - Christopher L. Wyatt, Shaza B. Zaghlool:
AdDressing Missing Nodes as Missing Data in Dynamic Causal Modeling. 81-84 - Emanuele Olivetti
The Approximation of the Dissimilarity Projection. 85-88
Ensembling and Multimodality
- Aydin Ulas
Biomarker Evaluation by Multiple Kernel Learning for Schizophrenia Detection. 89-92 - Matthew Dyson
Discrimination of Discrete Feedback During Performance of Motor Imagery. 93-96 - Li Su
Spatiotemporal Searchlight Representational Similarity Analysis in EMEG Source Space. 97-100 - Bernard Ng, Viviana Siless
Connectivity-informed Sparse Classifiers for fMRI Brain Decoding. 101-104 - Roman Filipovych, Bilwaj Gaonkar, Christos Davatzikos
A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease. 105-108
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