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ORCIDPRNI 2016: Trento, Italy
- International Workshop on Pattern Recognition in Neuroimaging, PRNI 2016, Trento, Italy, June 22-24, 2016. IEEE 2016, ISBN 978-1-4673-6530-7
- Katja Franke
, Robert Dahnke, Geoffrey Clarke, Anderson Kuo, Cun Li, Peter Nathanielsz, Matthias Schwab, Christian Gaser:
MRI based biomarker for brain aging in rodents and non-human primates. 1-4 - Ken Yano, Takayuki Suyama:
Fixed low-rank EEG spatial filter estimation for emotion recognition induced by movies. 1-4 - Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance:
Regularization parameter selection for a bayesian group sparse multi-task regression model with application to imaging genomics. 1-4 - Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Text-mining the neurosynth corpus using deep boltzmann machines. 1-4 - Jonathan Young:
Spatial pyramid match kernels for brain image classification. 1-4 - Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. 1-4 - Hoang Gia Ngo, Simon B. Eickhoff, Peter T. Fox, B. T. Thomas Yeo:
Collapsed variational bayesian inference of the author-topic model: application to large-scale coordinate-based meta-analysis. 1-4 - Vanessa Gómez-Verdejo, Jussi Tohka:
Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI. 1-4 - Pradeep Reddy Raamana, Stephen C. Strother:
Novel histogram-weighted cortical thickness networks and a multi-scale analysis of predictive power in Alzheimer's disease. 1-4 - Muhaddisa Barat Ali, Emanuele Olivetti:
Classification-based tests for neuroimaging data analysis: comparison of best practices. 1-4 - Mainak Jas, Denis A. Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort:
Automated rejection and repair of bad trials in MEG/EEG. 1-4 - Yousra Bekhti, Daniel Strohmeier, Mainak Jas, Roland Badeau, Alexandre Gramfort:
M/EEG source localization with multi-scale time-frequency dictionaries. 1-4 - Romy Lorenz, Ricardo Pio Monti, Adam Hampshire, Yury Koush, Christoforos Anagnostopoulos, Aldo A. Faisal, David J. Sharp, Giovanni Montana, Robert Leech, Inês R. Violante:
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. 1-4 - Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti, Giovanni Montana:
Classifying HCP task-fMRI networks using heat kernels. 1-4 - Zi Wang, Vyacheslav Karolis, Chiara Nosarti, Giovanni Montana:
Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations. 1-4 - Burcu A. Urgen, Selen Pehlivan, Ayse Pinar Saygin:
Representational similarity of actions in the human brain. 1-4 - Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez:
Multiclass classification of 18F-DMFP-PET data to assist the diagnosis of parkinsonism. 1-4 - C. Andres Mendez, Silvia Obertino, Gloria Menegaz:
Shore-based microstructural indices: do they tell us more? 1-4 - René Werner, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert:
Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM. 1-4 - Valentina Borghesani, Maria Dolores De Hevia, Arnaud Viarouge, Pedro Pinheiro Chagas, Evelyn Eger, Manuela Piazza:
Comparing magnitudes across dimensions: a univariate and multivariate approach. 1-4 - Bálint File, Zoltán Klimaj, Zoltán Somogyvári, Lajos R. Kozák, Gyula Gyebnár, Brigitta Tóth, Zsófia Kardos, István Ulbert, Márk Molnár:
Age-related changes of the representative modular structure in the brain. 1-4 - Silvia Obertino, Giorgio Roffo, Cristina Granziera, Gloria Menegaz:
Infinite feature selection on shore-based biomarkers reveals connectivity modulation after stroke. 1-4 - Ro'ee Gilron, Jonathan D. Rosenblatt, Roy Mukamel:
Addressing the "problem" of temporal correlations in MVPA analysis. 1-4 - Matthias Guggenmos, Katharina Schmack, Philipp Sterzer:
WeiRD - a fast and performant multivoxel pattern classifier. 1-4 - Andrés Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion:
Fast brain decoding with random sampling and random projections. 1-4 - Astrid M. E. Engberg, Kasper Winther Andersen, Morten Mørup, Kristoffer Hougaard Madsen:
Independent vector analysis for capturing common components in fMRI group analysis. 1-4 - Gaël Varoquaux, Matthieu Kowalski, Bertrand Thirion:
Social-sparsity brain decoders: faster spatial sparsity. 1-4 - Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev:
Boosting connectome classification via combination of geometric and topological normalizations. 1-4 - Tibor Nánási, Bálint File, Emília Tóth, László Entz, István Ulbert, Dániel Fabó, Loránd Eröss:
Synergism of spectral and coupling modalities in epileptic focus localization from iEEG recordings. 1-4 - Samuel A. Nastase, Yaroslav O. Halchenko, Ben Davis, Uri Hasson:
Cross-modal searchlight classification: methodological challenges and recommended solutions. 1-4 - Kamalaker Dadi, Alexandre Abraham, Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux:
Comparing functional connectivity based predictive models across datasets. 1-4 - Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup:
Variational group-PCA for intrinsic dimensionality determination in fMRI data. 1-4 - Hyun-Chul Kim, Jong-Hwan Lee:
Evaluation of weight sparsity control during autoencoder training of resting-state fMRI using non-zero ratio and hoyer's sparseness. 1-4 - Anil Rao, João M. Monteiro, Janaina Mourão Miranda:
Prediction of clinical scores from neuroimaging data with censored likelihood gaussian processes. 1-4
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