PRNI

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

2016