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PRNI
2011
2014
2018
2011
2018
Keyphrases
Publications
2018
Brian Murphy
,
Andrea Aleni
,
Brahim Belaoucha
,
John Dyer
,
Hugh Nolan
Quantifying cognitive aging and performance with at-home gamified mobile EEG.
PRNI
(2018)
Amicie de Pierrefeu
,
Tommy Löfstedt
,
Charles Laidi
,
Fouad Hadj-Selem
,
Marion Leboyer
,
Philippe Ciuciu
,
Josselin Houenou
,
Edouard Duchesnay
Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity.
PRNI
(2018)
Stanislas Chambon
,
Mathieu N. Galtier
,
Alexandre Gramfort
Domain adaptation with optimal transport improves EEG sleep stage classifiers.
PRNI
(2018)
Yaelan Jung
,
Bart Larsen
,
Dirk B. Walther
Using decoding error patterns to trace the neural signature of auditory scene perception.
PRNI
(2018)
Søren Føns Vind Nielsen
,
Diego Vidaurre
,
Kristoffer Hougaard Madsen
,
Mikkel N. Schmidt
,
Morten Mørup
Testing group differences in state transition structure of dynamic functional connectivity models.
PRNI
(2018)
Jessica Schrouff
,
Janaina Mourão Miranda
Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?
PRNI
(2018)
Fermín Segovia
,
Juan Manuel Górriz
,
Javier Ramírez
,
Francisco Jesús Martínez-Murcia
,
Diego Castillo-Barnes
,
R. Sanchez-Vano
,
P. Sopena-Novales
,
Manuel Gómez-Río
Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach.
PRNI
(2018)
Hanh Vu
,
Hyun-Chul Kim
,
Jong-Hwan Lee
3D convolutional neural network for feature extraction and classification of fMRI volumes.
PRNI
(2018)
Robyn L. Miller
,
Vince D. Calhoun
Dynamic Whole Brain Polarity Regimes Strongly Distinguish Controls from Schizophrenia Patients.
PRNI
(2018)
Tong He
,
Ru Kong
,
Avram J. Holmes
,
Mert R. Sabuncu
,
Simon B. Eickhoff
,
Danilo Bzdok
,
Jiashi Feng
,
B. T. Thomas Yeo
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?
PRNI
(2018)
Jiancong He
,
Guoxu Zhou
,
Hongtao Wang
,
Evangelos Sigalas
,
Nitish V. Thakor
,
Anastasios Bezerianos
,
Junhua Li
Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG.
PRNI
(2018)
Minh Nguyen
,
Nanbo Sun
,
Daniel C. Alexander
,
Jiashi Feng
,
B. T. Thomas Yeo
Modeling Alzheimer's disease progression using deep recurrent neural networks.
PRNI
(2018)
Evangelos Sigalas
,
Junhua Li
,
Anastasios Bezerianos
,
Chris G. Antonopoulos
Emergence of Chimera-like States in Prefrontal-Cortex Macaque Intracranial Recordings.
PRNI
(2018)
Martin Nørgaard
,
Douglas N. Greve
,
Claus Svarer
,
Stephen C. Strother
,
Gitte Moos Knudsen
,
Melanie Ganz
The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data.
PRNI
(2018)
Darya Chyzhyk
,
Gaël Varoquaux
,
Bertrand Thirion
,
Michael P. Milham
Controlling a confound in predictive models with a test set minimizing its effect.
PRNI
(2018)
Irene Fantini
,
Letícia Rittner
,
Clarissa L. Yasuda
,
Roberto de Alencar Lotufo
Automatic detection of motion artifacts on MRI using Deep CNN.
PRNI
(2018)
Fabio S. Ferreira
,
Maria J. Rosa
,
Michael Moutoussis
,
Ray Dolan
,
John Shawe-Taylor
,
John Ashburner
,
Janaina Mourão Miranda
Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships.
PRNI
(2018)
Qi Wang
,
Ievgen Redko
,
Sylvain Takerkart
Distance-based Optimal Transport.
PRNI
(2018)
2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018, Singapore, Singapore, June 12-14, 2018
PRNI
(2018)
Valeria Kebets
,
Mitsouko van Assche
,
Jonas Richiardi
,
Rachel Goldstein
,
Reto Meuli
,
Tobias Kober
,
Frédéric Assal
,
Dimitri Van De Ville
Multivariate and predictive modelling of neural variability in mild cognitive impairment.
PRNI
(2018)
Ricardo Cruz
,
Margarida Silveira
,
Jaime S. Cardoso
A Class Imbalance Ordinal Method for Alzheimer's Disease Classification.
PRNI
(2018)
2017
Heeyoung Choo
,
Dirk B. Walther
Modeling the effect of stimulus perturbations on error correlations between brain and behavior.
PRNI
(2017)
Emanuele Olivetti
,
Giulia Berto
,
Pietro Gori
,
Nusrat Sharmin
,
Paolo Avesani
Comparison of distances for supervised segmentation of white matter tractography.
PRNI
(2017)
Prabhat Garg
,
Elizabeth M. Davenport
,
Gowtham Murugesan
,
Benjamin C. Wagner
,
Christopher T. Whitlow
,
Joseph A. Maldjian
,
Albert Montillo
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.
PRNI
(2017)
Mehdi Rahim
,
Bertrand Thirion
,
Gaël Varoquaux
Multi-output predictions from neuroimaging: assessing reduced-rank linear models.
PRNI
(2017)
Melanie Ganz
,
Ender Konukoglu
Permutation tests for classification: revisited.
PRNI
(2017)
Masashi Sato
,
Yoichi Miyawaki
Spatial spreading of representational geometry through source estimation of magnetoencephalography signals.
PRNI
(2017)
Andrés Hoyos Idrobo
,
Gaël Varoquaux
,
Bertrand Thirion
Towards a faster randomized parcellation based inference.
PRNI
(2017)
Margaret L. Schlichting
,
Katharine F. Guarino
,
Hannah E. Roome
,
Alison R. Preston
Pattern classification reveals developmental differences in how memories influence new learning.
PRNI
(2017)
2017 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2017, Toronto, ON, Canada, June 21-23, 2017
PRNI
(2017)
Xixi Wang
,
Carol A. Jew
,
Feng Lin
,
Rajeev D. S. Raizada
Manifolds of tool-graspability in the human brain.
PRNI
(2017)
Brahim Belaoucha
,
Théodore Papadopoulo
Large brain effective network from EEG/MEG data and dMR information.
PRNI
(2017)
Kiret Dhindsa
,
Suzanna Becker
Emotional reaction recognition from EEG.
PRNI
(2017)
Albert Vilamala
,
Kristoffer Hougaard Madsen
,
Lars Kai Hansen
Adaptive smoothing in fMRI data processing neural networks.
PRNI
(2017)
Michael L. Mack
,
Alison R. Preston
,
Bradley C. Love
Medial prefrontal cortex compresses concept representations through learning.
PRNI
(2017)
Saurabh Bhaskar Shaw
Real-time filtering of gradient artifacts from simultaneous EEG-fMRI data.
PRNI
(2017)
M. Wehenkel
,
Christine Bastin
,
Christophe Phillips
,
Pierre Geurts
Tree ensemble methods and parcelling to identify brain areas related to Alzheimer's disease.
PRNI
(2017)
Søren Føns Vind Nielsen
,
Kristoffer Hougaard Madsen
,
Mikkel N. Schmidt
,
Morten Mørup
Modeling dynamic functional connectivity using a wishart mixture model.
PRNI
(2017)
Hongyuan You
,
Adam Liska
,
Nathan Russell
,
Payel Das
Automated brain state identification using graph embedding.
PRNI
(2017)
Joset A. Etzel
MVPA significance testing when just above chance, and related properties of permutation tests.
PRNI
(2017)
2016
Anil Rao
,
João M. Monteiro
,
Janaina Mourão Miranda
Prediction of clinical scores from neuroimaging data with censored likelihood gaussian processes.
PRNI
(2016)
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.
PRNI
(2016)
Kamalaker Dadi
,
Alexandre Abraham
,
Mehdi Rahim
,
Bertrand Thirion
,
Gaël Varoquaux
Comparing functional connectivity based predictive models across datasets.
PRNI
(2016)
Ricardo Pio Monti
,
Romy Lorenz
,
Robert Leech
,
Christoforos Anagnostopoulos
,
Giovanni Montana
Text-mining the neurosynth corpus using deep boltzmann machines.
PRNI
(2016)
Jonathan Young
Spatial pyramid match kernels for brain image classification.
PRNI
(2016)
Astrid M. E. Engberg
,
Kasper Winther Andersen
,
Morten Mørup
,
Kristoffer Hougaard Madsen
Independent vector analysis for capturing common components in fMRI group analysis.
PRNI
(2016)
René Werner
,
Matthias Wilms
,
Bastian Cheng
,
Nils Daniel Forkert
Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM.
PRNI
(2016)
Matthias Guggenmos
,
Katharina Schmack
,
Philipp Sterzer
WeiRD - a fast and performant multivoxel pattern classifier.
PRNI
(2016)
Sebastian Weichwald
,
Arthur Gretton
,
Bernhard Schölkopf
,
Moritz Grosse-Wentrup
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data.
PRNI
(2016)
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.
PRNI
(2016)