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PRNI 2014: Tübingen, Germany
- International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014, Tübingen, Germany, June 4-6, 2014. IEEE 2014, ISBN 978-1-4799-4150-6
- Sanne Schoenmakers
, Marcel van Gerven, Tom Heskes
Gaussian mixture models improve fMRI-based image reconstruction. 1-4 - Emanuele Olivetti
Sensor-level maps with the kernel two-sample test. 1-4 - Carlo Rondinoni
Multimodal neuroimaging in Alzheimer's disease: Contributions of multi-voxel pattern analysis to the analysis of DTI and resting-state MRI. 1-4 - Elvis Dopgima Dohmatob, Alexandre Gramfort
Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging. 1-4 - Sandro Vega-Pons, Paolo Avesani
Classification of inter-subject fMRI data based on graph kernels. 1-4 - Jorne Laton, Jeroen Van Schependom, Jeroen Gielen, Jeroen Decoster, Tim Moons, Jacques De Keyser
In search of biomarkers for schizophrenia using electroencephalography. 1-4 - Robyn L. Miller, Maziar Yaesoubi, Vince D. Calhoun, Shruti Gopal:
Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients. 1-4 - Yousra Bekhti, Nicolas Zilber, Fabian Pedregosa, Philippe Ciuciu, Virginie van Wassenhove
Decoding perceptual thresholds from MEG/EEG. 1-4 - Karen Sandø Ambrosen, Kristoffer Jon Albers, Tim B. Dyrby
Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution. 1-4 - E. Zarogianni, T. William J. Moorhead, A. J. Starkey, Stephen M. Lawrie
Combining neuroanatomical and clinical data to improve individualized early diagnosis of schizophrenia in subjects at high familial risk. 1-4 - Luca Dodero, Vittorio Murino
Joint laplacian diagonalization for multi-modal brain community detection. 1-4 - Stefan Haufe
Parameter interpretation, regularization and source localization in multivariate linear models. 1-4 - Shruti Gopal, Robyn L. Miller, Andrew Michael, Tülay Adali, Stefi A. Baum, Vince D. Calhoun:
A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia. 1-4 - Jeremy R. Manning
Hierarchical topographic factor analysis. 1-4 - Johannes Höhne, Benjamin Blankertz, Klaus-Robert Müller
Mean shrinkage improves the classification of ERP signals by exploiting additional label information. 1-4 - Sahar Ghanavati, Jason P. Lerch
Improved method for automatic cerebrovascular labelling using stochastic tunnelling. 1-4 - Solveig Badillo, Severine Desmidt, Chantal Ginisty, Philippe Ciuciu:
Multi-subject Bayesian Joint Detection and Estimation in fMRI. 1-4 - Katherine E. Niehaus, Ian A. Clark
MVPA to enhance the study of rare cognitive events: An investigation of experimental PTSD. 1-4 - Sreetama Basu, Wei Tsang Ooi
Improved marked point process priors for single neurite tracing. 1-4 - Emanuele Olivetti
MEG decoding across subjects. 1-4 - Mathieu Dubois, Fouad Hadj-Selem
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. 1-4 - Mohammed Al-Rawi
Permutation distributions of fMRI classification do not behave in accord with central limit theorem. 1-4 - Ahmed Abdulkadir
Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI. 1-4 - Gabriele Lohmann, Johannes Stelzer, Verena Zuber
Correlation bundle statistics in fMRI data. 1-4 - Jeroen Van Schependom, Jeroen Gielen, Jorne Laton, Marie B. D'hooghe, Jacques De Keyser
SVM aided detection of cognitive impairment in MS. 1-4 - Aapo Hyvärinen
Dynamic connectivity factorization: Interpretable decompositions of non-stationarity. 1-4 - Andreas Trier Poulsen, Simon Kamronn, Lucas C. Parra, Lars Kai Hansen
Bayesian correlated component analysis for inference of joint EEG activation. 1-4 - Loizos Markides, Duncan Fyfe Gillies:
Unsupervised metrics of brain region significance for event-related fMRI intersession experiments. 1-4 - Alejandro Tabas
Hierarchical processing of temporal asymmetry in human auditory cortex. 1-4 - Fermín Segovia
PET imaging analysis using a parcelation approach and multiple kernel classification. 1-4 - Loizos Markides, Duncan Fyfe Gillies:
Intensity normalisation for large-scale fMRI brain decoding. 1-4 - Elaheh Moradi, Jussi Tohka
Semi-supervised learning in MCI-to-ad conversion prediction - When is unlabeled data useful? 1-4 - Sven Dähne, Vadim V. Nikulin, David Ramírez
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. 1-4 - Jessica Schrouff
Decoding memory processing from electro-corticography in human posteromedial cortex. 1-4 - Wesley T. Kerr
Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. 1-4 - Sebastian Weichwald
Causal and anti-causal learning in pattern recognition for neuroimaging. 1-4 - Vittorio Iacovella
Functional hyperalignment of resting state FMRI sessions driven by autonomic activity. 1-4 - Daniel Strohmeier, Jens Haueisen
Improved MEG/EEG source localization with reweighted mixed-norms. 1-4 - Valentina Borghesani, Fabian Pedregosa, Evelyn Eger
A perceptual-to-conceptual gradient of word coding along the ventral path. 1-4 - Alejandro Tabas
Spatial discriminant ICA for RS-fMRI characterisation. 1-4 - Andre F. Marquand
Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data. 1-4 - Chuncheng Zhang, Zhengli Wang
Fast voxel selection of fMRI data based on Smoothed 10 norm. 1-4 - Sofie Therese Hansen, Lars Kai Hansen
EEG source reconstruction using sparse basis function representations. 1-4 - Felix Bießmann, Michael Gaebler, Jan-Peter Lamke, Ui Jong Ju
Data-driven multisubject neuroimaging analyses for naturalistic stimuli. 1-4 - Fei Fei, Biao Jie, Lipeng Wang, Daoqiang Zhang:
Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment. 1-4 - Jessica Bulthé, Job van den Hurk
A validation of a multi-spatialscale method for multivariate pattern analysis. 1-4 - Sylvain Takerkart
Multiple subject learning for inter-subject prediction. 1-4 - Albert Vilamala, Lluís A. Belanche Muñoz, Alfredo Vellido:
A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors. 1-4 - Achim Leydecker, Felix Bießmann, Siamac Fazli
Single-trials ERPs predict correct answers to intelligence test questions. 1-4
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