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ORCIDPRNI 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, Christophe Pallier, Bertrand Thirion, Alexandre Gramfort:
Improved Brain Pattern Recovery through Ranking Approaches. 9-12 - Alexandre Gramfort, Christophe Pallier, Gaël Varoquaux, Bertrand Thirion:
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, Bogdan Mijovic, Simon Tousseyn, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos:
ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy. 21-24 - Muhammad Naeem, T. Martin McGinnity, David R. Watson, KongFatt Wong-Lin, Girijesh Prasad, J. A. Scott Kelso:
Inter-brain Mutual Information in Social Interaction Tasks. 25-28 - Mahdi Ramezani, Purang Abolmaesumi, Kris Marble, H. MacDonald, Ingrid S. Johnsrude:
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, Bertrand Thirion:
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, Ariana E. Anderson, Hongjing Xia, Eric S. Braun, Edward P. Lau, Andrew Y. Cho, Mark S. Cohen:
Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG. 45-48 - Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas:
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. 49-52 - Yannick Schwartz, Gaël Varoquaux, Bertrand Thirion:
On Spatial Selectivity and Prediction across Conditions with fMRI. 53-56
Multiclass Problems and Methods
- Emanuele Olivetti, Susanne Greiner, Paolo Avesani:
Testing Multiclass Pattern Discrimination. 57-60 - Jessica Schrouff, Caroline Kussé, Louis Wehenkel, Pierre Maquet, Christophe Phillips:
Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation. 61-64 - Lars Hausfeld, Roberta Santoro, Giancarlo Valente, Elia Formisano:
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, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur:
Sparse Dictionary Learning of Resting State fMRI Networks. 73-76 - Luca Giancardo, Diego Sona, Alessandro Gozzi, Angelo Bifone, Vittorio Murino, Sara Migliarini, Giulia Pacini, Barbara Pelosi, Massimo Pasqualetti:
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, Thien Bao Nguyen, Eleftherios Garyfallidis:
The Approximation of the Dissimilarity Projection. 85-88
Ensembling and Multimodality
- Aydin Ulas, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla:
Biomarker Evaluation by Multiple Kernel Learning for Schizophrenia Detection. 89-92 - Matthew Dyson, Laurence Casini, Borís Burle:
Discrimination of Discrete Feedback During Performance of Motor Imagery. 93-96 - Li Su, Elisabeth Fonteneau, William D. Marslen-Wilson, Nikolaus Kriegeskorte:
Spatiotemporal Searchlight Representational Similarity Analysis in EMEG Source Space. 97-100 - Bernard Ng, Viviana Siless, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion, Rafeef Abugharbieh:
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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