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PRNI 2013: Philadelphia, PA, USA
- International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013, Philadelphia, PA, USA, June 22-24, 2013. IEEE 2013, ISBN 978-0-7695-5061-9
- Francisco Pereira, Matthew M. Botvinick:
Simitar: Simplified Searching of Statistically Significant Similarity Structure. 1-4 - Michael Eickenberg, Mehdi Senoussi
, Fabian Pedregosa, Alexandre Gramfort
Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures. 5-8 - Oluwasanmi Koyejo, Priyank Patel, Joydeep Ghosh, Russell A. Poldrack
Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models. 9-12 - Bilwaj Gaonkar, Aristeidis Sotiras
Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data. 13-16 - Alexandre Gramfort
Identifying Predictive Regions from fMRI with TV-L1 Prior. 17-20 - Virgile Fritsch, Benoit Da Mota, Gaël Varoquaux
Robust Group-Level Inference in Neuroimaging Genetic Studies. 21-24 - Paramveer S. Dhillon, James C. Gee, Lyle H. Ungar, Brian B. Avants
Anatomically-Constrained PCA for Image Parcellation. 25-28 - Francisco Pereira, Jennifer M. Walz
Creating Group-Level Functionally-Defined Atlases for Diagnostic Classification. 29-32 - Seonjoo Lee
Clustering of High Dimensional Longitudinal Imaging Data. 33-36 - Russell T. Shinohara, Ciprian S. Crainiceanu, Brian S. Caffo, Daniel S. Reich:
Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging. 37-41 - Emanuele Olivetti
Fast Clustering for Interactive Tractography Segmentation. 42-45 - Hasan Ertan Çetingül, Laura Dumont, Mariappan S. Nadar, Paul M. Thompson
Importance Sampling Spherical Harmonics to Improve Probabilistic Tractography. 46-49 - Karen Sandø Ambrosen, Tue Herlau
Comparing Structural Brain Connectivity by the Infinite Relational Model. 50-53 - Pierre Bellec
Mining the Hierarchy of Resting-State Brain Networks: Selection of Representative Clusters in a Multiscale Structure. 54-57 - Eugene P. Duff
Utility of Partial Correlation for Characterising Brain Dynamics: MVPA-based Assessment of Regularisation and Network Selection. 58-61 - Danilo Bzdok, Robert Langner
Antagonistic Activation Patterns Underlie Multi-functionality of the Right Temporo-Parietal Junction. 62-65 - Maria João Duarte Rosa, Liana Catarina Lima Portugal, John Shawe-Taylor
Sparse Network-Based Models for Patient Classification Using fMRI. 66-69 - Jonas Richiardi
Two Test Statistics for Cross-Modal Graph Community Significance. 70-73 - Nora Leonardi, Dimitri Van De Ville
Identifying Network Correlates of Brain States Using Tensor Decompositions of Whole-Brain Dynamic Functional Connectivity. 74-77 - Manjari Narayan
Randomized Approach to Differential Inference in Multi-subject Functional Connectivity. 78-81 - Viktor Wottschel
Prediction of Second Neurological Attack in Patients with Clinically Isolated Syndrome Using Support Vector Machines. 82-85 - Wesley T. Kerr
Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy. 86-89 - Meriem El Azami, Alexander Hammers, Nicolas Costes
Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information. 90-93 - Katja Franke
Gender-Specific Effects of Health and Lifestyle Markers on Individual BrainAGE. 94-97 - Borbála Hunyadi
Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. 98-101 - Moritz Grosse-Wentrup
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data. 102-105 - Sofie Therese Hansen
Sparse Source EEG Imaging with the Variational Garrote. 106-109 - Maneesh Dewan, Yiqiang Zhan, Gerardo Hermosillo, Bing Jian, Xiang Sean Zhou:
Brain PET Attenuation Correction without CT: An Investigation. 110-113 - Jeroen Van Schependom, Mieke D'hooge, Krista Cleynhens, Marie B. D'hooghe
Detection of Cognitive Impairment in MS Based on an EEG P300 Paradigm. 114-118 - Cécile Bordier, Emiliano Macaluso
Detection of Transient Inter-regional Coupling in fMRI Time Series: A New Method Combining Inter-subjects Synchronization and Cluster-Analyses. 119-123 - Jessica Schrouff
Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models. 124-127 - Emanuele Olivetti
The Kernel Two-Sample Test vs. Brain Decoding. 128-131 - Seyed Mostafa Kia
Discrete Cosine Transform for MEG Signal Decoding. 132-135 - Sandro Vega-Pons
Brain Decoding via Graph Kernels. 136-139 - Joset A. Etzel, Todd S. Braver
MVPA Permutation Schemes: Permutation Testing in the Land of Cross-Validation. 140-143 - Fermín Segovia
Automatic Differentiation between Alzheimer's Disease and Mild Cognitive Impairment Combining PET Data and Psychological Scores. 144-147 - Ahmad Khodayari-Rostamabad, James P. Reilly, Gary M. Hasey:
Latent Variable Dimensionality Reduction Using a Kullback-Leibler Criterion and Its Application to Predict Antidepressant Treatment Response. 148-151 - Andrea Pulido
Discovering Regional Pathological Patterns in Brain MRI. 152-156 - Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Christos Davatzikos
A Graph-Based Brain Parcellation Method Extracting Sparse Networks. 157-160 - Tianhao Zhang, Theodore D. Satterthwaite, Christos Davatzikos
ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous Variables. 161-164 - Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort
HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models. 165-169 - Jonathan Young, John Ashburner
Wrapper Methods to Correct Mislabelled Training Data. 170-173 - George D. Stetten, Cindy Wong, Vikas Shivaprabhu, Ada Zhang, Samantha Horvath, Jihang Wang, John M. Galeotti, Vijay Gorantla, Howard Aizenstein:
Descending Variance Graphs for Segmenting Neurological Structures. 174-177 - Hongjing Xia, Dan Ruan, Mark S. Cohen:
BCG Artifact Removal for Reconstructing Full-Scalp EEG Inside the MR Scanner. 178-181 - Mohammad Hadi Kefayati, Hamid Sheikhzadeh, Hamid R. Rabiee
Semi-spatiotemporal fMRI Brain Decoding. 182-185 - Anne-Laure Fouque, Clara Fischer, Vincent Frouin, Philippe Ciuciu, Edouard Duchesnay:
Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging Data. 186-189 - Viviana Siless
A Comparison of Metrics and Algorithms for Fiber Clustering. 190-193 - Krzysztof J. Gorgolewski
Fifty Shades of Gray, Matter: Using Bayesian Priors to Improve the Power of Whole-Brain Voxel- and Connexelwise Inferences. 194-197 - Jane Maryam Rondina, John Shawe-Taylor
Stability-Based Multivariate Mapping Using SCoRS. 198-202 - Felipe Yanez
Quantitative Susceptibility Map Reconstruction via a Total Generalized Variation Regularization. 203-206 - Yue Hu, Genevera I. Allen:
Local-Aggregate Modeling for Multi-subject Neuroimage Data via Distributed Optimization. 207-210 - Solveig Badillo, Gaël Varoquaux
Hemodynamic Estimation Based on Consensus Clustering. 211-215 - Luca Dodero, Sebastiano Vascon
Automatic White Matter Fiber Clustering Using Dominant Sets. 216-219 - Dirk B. Walther:
Using Confusion Matrices to Estimate Mutual Information between Two Categorical Measurements. 220-224 - Satrajit S. Ghosh
Predicting Treatment Response from Resting State fMRI Data: Comparison of Parcellation Approaches. 225-228 - Scott Peltier, Douglas C. Noll
Multivariate Classification of Complex and Multi-echo fMRI Data. 229-232
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