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ORCIDPRNI 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, Seyed Mostafa Kia, Paolo Avesani:
Sensor-level maps with the kernel two-sample test. 1-4 - Carlo Rondinoni, Carlos Ernesto Garrido Salmon, Jaicer Rolo, Antonio Carlos dos Santos:
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, Bertrand Thirion, Gaël Varoquaux:
Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging. 1-4 - Sandro Vega-Pons, Paolo Avesani, Michael Andric, Uri Hasson:
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, Marc De Hert, Guy Nagels:
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, Alexandre Gramfort:
Decoding perceptual thresholds from MEG/EEG. 1-4 - Karen Sandø Ambrosen, Kristoffer Jon Albers, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup:
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, Diego Sona:
Joint laplacian diagonalization for multi-modal brain community detection. 1-4 - Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann:
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, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, David M. Blei:
Hierarchical topographic factor analysis. 1-4 - Johannes Höhne, Benjamin Blankertz, Klaus-Robert Müller, Daniel Bartz:
Mean shrinkage improves the classification of ERP signals by exploiting additional label information. 1-4 - Sahar Ghanavati, Jason P. Lerch, John G. Sled:
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, Corin Bourne, Clare E. Mackay, Emily A. Holmes, Stephen M. Smith, Mark William Woolrich, Eugene P. Duff:
MVPA to enhance the study of rare cognitive events: An investigation of experimental PTSD. 1-4 - Sreetama Basu, Wei Tsang Ooi, Daniel Racoceanu:
Improved marked point process priors for single neurite tracing. 1-4 - Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani:
MEG decoding across subjects. 1-4 - Mathieu Dubois, Fouad Hadj-Selem, Tommy Löfstedt, Matthieu Perrot, Clara Fischer, Vincent Frouin, Edouard Duchesnay:
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. 1-4 - Mohammed Al-Rawi, Adelaide Freitas, João V. Duarte, Miguel Castelo-Branco:
Permutation distributions of fMRI classification do not behave in accord with central limit theorem. 1-4 - Ahmed Abdulkadir, Olaf Ronneberger, Sarah J. Tabrizi, Stefan Klöppel:
Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI. 1-4 - Gabriele Lohmann, Johannes Stelzer, Verena Zuber, Tilo Buschmann, Michael Erb, Klaus Scheffler:
Correlation bundle statistics in fMRI data. 1-4 - Jeroen Van Schependom, Jeroen Gielen, Jorne Laton, Marie B. D'hooghe, Jacques De Keyser, Guy Nagels:
SVM aided detection of cognitive impairment in MS. 1-4 - Aapo Hyvärinen, Junichiro Hirayama, Motoaki Kawanabe:
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, Emili Balaguer-Ballester, Daniel Pressnitzer, Anita Siebert, André Rupp:
Hierarchical processing of temporal asymmetry in human auditory cortex. 1-4 - Fermín Segovia, Christophe Phillips:
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, Christian Gaser:
Semi-supervised learning in MCI-to-ad conversion prediction - When is unlabeled data useful? 1-4 - Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe:
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. 1-4 - Jessica Schrouff, Brett L. Foster, V. Rangarajan, Christophe Phillips, Janaina Mourão Miranda, Josef Parvizi:
Decoding memory processing from electro-corticography in human posteromedial cortex. 1-4 - Wesley T. Kerr, Eric S. Hwang, Kaavya R. Raman, Sarah E. Barritt, Akash B. Patel, Justine M. Le, Jessica M. Hori, Emily C. Davis, Chelsea T. Braesch, Emily A. Janio, Edward P. Lau, Andrew Y. Cho, Ariana E. Anderson, Daniel H. S. Silverman, Noriko Salamon, Jerome Engel, John M. Stern, Mark S. Cohen:
Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. 1-4 - Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Causal and anti-causal learning in pattern recognition for neuroimaging. 1-4 - Vittorio Iacovella, Andrea Bertana, Paolo Avesani:
Functional hyperalignment of resting state FMRI sessions driven by autonomic activity. 1-4 - Daniel Strohmeier, Jens Haueisen, Alexandre Gramfort:
Improved MEG/EEG source localization with reweighted mixed-norms. 1-4 - Valentina Borghesani, Fabian Pedregosa, Evelyn Eger, Marco Buiatti, Manuela Piazza:
A perceptual-to-conceptual gradient of word coding along the ventral path. 1-4 - Alejandro Tabas, Emili Balaguer-Ballester, Laura Igual:
Spatial discriminant ICA for RS-fMRI characterisation. 1-4 - Andre F. Marquand, Steven C. R. Williams, Orla M. Doyle, Maria J. Rosa:
Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data. 1-4 - Chuncheng Zhang, Zhengli Wang, Sutao Song, Xiaotong Wen, Li Yao, Zhi-ying Long:
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, Stefan Hetzer, Christian Wallraven, Klaus-Robert Müller:
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, Nicky Daniels, Bert De Smedt, Hans P. Op de Beeck:
A validation of a multi-spatialscale method for multivariate pattern analysis. 1-4 - Sylvain Takerkart, Liva Ralaivola:
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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