Maria J. Rosa

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Will PennyProfessor of Imaging Neuroscience UCLVerified email at ucl.ac.uk
Karl FristonUniversity College LondonVerified email at ucl.ac.uk
Janaina Mourao-MirandaUniversity College LondonVerified email at cs.ucl.ac.uk
Andre F MarquandAssociate Professor, Donders Institute / Kings College LondonVerified email at kcl.ac.uk
jean daunizeauBrain and Spine Institute (ICM), Paris, FranceVerified email at icm-institute.org
John AshburnerProfessor of Imaging Science, Wellcome Centre for Human Neuroimaging, UCL Institute ofVerified email at ucl.ac.uk
Christophe PhillipsFRS-FNRS Research Director, University of LiègeVerified email at ulg.ac.be
Jessica SchrouffGoogle ResearchVerified email at ulg.ac.be
James KilnerPI IoN, UCLVerified email at ucl.ac.uk
Carlton CHUResearcher/Engineer at Google DeepMindVerified email at google.com
Jonas RichiardiLausanne University Hospital and University of LausanneVerified email at chuv.ch
Alex LeffUCL Queen Square Institute of Neurology & Institute of Cognitive NeuroscienceVerified email at ucl.ac.uk
Frank ScharnowskiUniversity of ViennaVerified email at univie.ac.at
Nikolaus WeiskopfDirector, Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain SciencesVerified email at cbs.mpg.de
Klaas Enno StephanTranslational Neuromodeling Unit (TNU), IBT, University of Zurich and ETH ZurichVerified email at uzh.ch
Dimitri Van De VilleAssociate Professor of Bioengineering, EPF Lausanne and University of GenevaVerified email at epfl.ch
Ben SeymourUniversity of OxfordVerified email at ndcn.ox.ac.uk
Yury Koush, PhDMRRC, Yale UniversityVerified email at yale.edu
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Orla M. DoyleData Scientist, NovartisVerified email at novartis.com

Maria J. Rosa

Max Planck - UCL / Computer Science UCL

Verified email at alumni.ucl.ac.uk

Neuroimaging machine learning pattern recognition brain connectivity neuropharmacology


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Comparing families of dynamic causal models WD Penny, KE Stephan, J Daunizeau, MJ Rosa, KJ Friston, TM Schofield, ... PLoS computational biology 6 (3), e1000709, 2010	673	2010
Investigar en comunicación B Conde, M Rosa, JA Ruíz San Román Madrid: McGraw Hill, 2005	448	2005
PRoNTo: pattern recognition for neuroimaging toolbox J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ... Neuroinformatics 11 (3), 319-337, 2013	386	2013
PRoNTo: pattern recognition for neuroimaging toolbox J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ... Neuroinformatics 11 (3), 319-337, 2013	386	2013
PRoNTo: pattern recognition for neuroimaging toolbox J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ... Neuroinformatics 11 (3), 319-337, 2013	386	2013
SPM12 manual J Ashburner, G Barnes, CC Chen, J Daunizeau, G Flandin, K Friston, ... Wellcome Trust Centre for Neuroimaging, London, UK 2464, 4, 2014	294	2014
Sparse network-based models for patient classification using fMRI MJ Rosa, L Portugal, T Hahn, AJ Fallgatter, MI Garrido, J Shawe-Taylor, ... Neuroimage 105, 493-506, 2015	163	2015
Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI Y Koush, MJ Rosa, F Robineau, K Heinen, SW Rieger, N Weiskopf, ... Neuroimage 81, 422-430, 2013	143	2013
EEG-fMRI integration: a critical review of biophysical modeling and data analysis approaches MJ Rosa, J Daunizeau, KJ Friston Journal of integrative neuroscience 9 (04), 453-476, 2010	134	2010
Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI MJ Rosa, J Kilner, F Blankenburg, O Josephs, W Penny Neuroimage 49 (2), 1496-1509, 2010	119	2010
Time scales of representation in the human brain: Weighing past information to predict future events LM Harrison, S Bestmann, MJ Rosa, W Penny, GGR Green Fontiers in Human Neuroscience 5, 37, 2011	83	2011
Post-hoc selection of dynamic causal models MJ Rosa, K Friston, W Penny Journal of neuroscience methods 208 (1), 66-78, 2012	80	2012
Bayesian model selection maps for group studies MJ Rosa, S Bestmann, L Harrison, W Penny Neuroimage 49 (1), 217-224, 2010	74	2010
Decoding the matrix: benefits and limitations of applying machine learning algorithms to pain neuroimaging MJ Rosa, B Seymour Pain 155 (5), 864-867, 2014	61	2014
Classification and characterisation of brain network changes in chronic back pain: A multicenter study H Mano, G Kotecha, K Leibnitz, T Matsubara, C Sprenger, A Nakae, ... Wellcome open research 3, 2018	58	2018
Embedding anatomical or functional knowledge in whole-brain multiple kernel learning models J Schrouff, JM Monteiro, L Portugal, MJ Rosa, C Phillips, ... Neuroinformatics 16 (1), 117-143, 2018	56	2018
El reto de planificar para la diversidad en una escuela inclusiva MRR Ramon, M Rosa Revista Iberoamericana de Educación 51 (4), 1-10, 2010	52	2010
Statistical parametric mapping J Ashburner, G Barnes, CC Chen, J Daunizeau, G Flandin, K Friston, ...	39	1994
Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition S Ranlund, MJ Rosa, S de Jong, JH Cole, M Kyriakopoulos, CHY Fu, ... NeuroImage: Clinical 20, 1026-1036, 2018	34	2018
Auditory prediction errors as individual biomarkers of schizophrenia JA Taylor, N Matthews, PT Michie, MJ Rosa, MI Garrido NeuroImage: Clinical 15, 264-273, 2017	30	2017

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