Andre F. Marquand

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 18

Top Topics

Hierarchical Bayesian

Top Venues

IEEE Trans. Medical Imaging

npj Digit. Medicine

Publications

Saige Rutherford, Thomas Wolfers, Charlotte J. Fraza, Nathaniel G. Harrnet, Christian F. Beckmann, Henricus G. Ruhe, Andre F. Marquand
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling. CoRR (2024)
Esten H. Leonardsen, Karin Persson, Edvard Grødem, Nicola Dinsdale, Till Schellhorn, James M. Roe, Dídac Vidal-Piñeiro, Øystein Sørensen, Tobias Kaufmann, Eric Westman, Andre F. Marquand, Geir Selbæk, Ole A. Andreassen, Thomas Wolfers, Lars T. Westlye, Yunpeng Wang
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence. npj Digit. Medicine 7 (1) (2024)
Loran Knol, Anisha Nagpal, Imogen E. Leaning, Elena Idda, Faraz Hussain, Emma Ning, Tory A. Eisenlohr-Moul, Christian F. Beckmann, Andre F. Marquand, Alex D. Leow
Smartphone keyboard dynamics predict affect in suicidal ideation. npj Digit. Medicine 7 (1) (2024)
Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping. CoRR (2023)
Johanna M. M. Bayer, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. NeuroImage 264 (2022)
Esten H. Leonardsen, Han Peng, Tobias Kaufmann, Ingrid Agartz, Ole A. Andreassen, Elisabeth Gulowsen Celius, Thomas Espeseth, Hanne F. Harbo, Einar A. Høgestøl, Ann-Marie G. de Lange, Andre F. Marquand, Dídac Vidal-Piñeiro, James M. Roe, Geir Selbæk, Øystein Sørensen, Stephen M. Smith, Lars T. Westlye, Thomas Wolfers, Yunpeng Wang
Deep neural networks learn general and clinically relevant representations of the ageing brain. NeuroImage 256 (2022)
Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien P. W. Pluim, Wiepke Cahn, Hugo G. Schnack
PROMISSING: Pruning Missing Values in Neural Networks. CoRR (2022)
Julio E. Villalon-Reina, Clara Moreau, Talia M. Nir, Neda Jahanshad, Anne M. Maillard, David Romascano, Bogdan Draganski, Sarah Lippé, Carrie E. Bearden, Seyed Mostafa Kia, Andre F. Marquand, Sébastien Jacquemont, Paul M. Thompson
Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression. MICCAI (1) (2022)
Charlotte J. Fraza, Richard Dinga, Christian F. Beckmann, Andre F. Marquand
Warped Bayesian linear regression for normative modelling of big data. NeuroImage 245 (2021)
Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data. CoRR (2020)
Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data. MICCAI (7) (2020)
Seyed Mostafa Kia, Andre F. Marquand
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. MIDL (2019)
Koen V. Haak, Andre F. Marquand, Christian F. Beckmann
Connectopic mapping with resting-state fMRI. NeuroImage 170 (2018)
Seyed Mostafa Kia, Christian F. Beckmann, Andre F. Marquand
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data. CoRR (2018)
Seyed Mostafa Kia, Andre F. Marquand
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. CoRR (2018)
Seyed Mostafa Kia, Andre F. Marquand
Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes. CoRR (2018)
Seyed Mostafa Kia, Andre F. Marquand
Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes. MICCAI (3) (2018)
Ismael Huertas, Marianne Oldehinkel, Erik S. B. van Oort, David Garcia-Solis, Pablo Mir, Christian F. Beckmann, Andre F. Marquand
A Bayesian spatial model for neuroimaging data based on biologically informed basis functions. NeuroImage 161 (2017)
Andre F. Marquand, Michael J. Brammer, Steven C. R. Williams, Orla M. Doyle
Bayesian multi-task learning for decoding multi-subject neuroimaging data. NeuroImage 92 (2014)
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. PRNI (2014)
Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda
SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging. IEEE Trans. Medical Imaging 33 (1) (2014)
Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda
Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging". IEEE Trans. Medical Imaging 33 (3) (2014)
Orla M. Doyle, John Ashburner, Fernando O. Zelaya, Stephen C. R. Williams, Mitul A. Mehta, Andre F. Marquand
Multivariate decoding of brain images using ordinal regression. NeuroImage 81 (2013)
Sara De Simoni, Adam J. Schwarz, Owen G. O'Daly, Andre F. Marquand, Claire Brittain, C. Gonzales, S. Stephenson, Stephen C. R. Williams, Mitul A. Mehta
Test-retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers. NeuroImage 64 (2013)
Jessica Schrouff, Maria J. Rosa, Jane M. Rondina, Andre F. Marquand, Carlton Chu, John Ashburner, Christophe Phillips, Jonas Richiardi, Janaina Mourão Miranda
PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics 11 (3) (2013)
Andre F. Marquand, Owen G. O'Daly, Sara De Simoni, David C. Alsop, Ralph Paul Maguire, Steven C. R. Williams, Fernando O. Zelaya, Mitul A. Mehta
Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach. NeuroImage 60 (2) (2012)
Janaina Mourão Miranda, David R. Hardoon, Tim Hahn, Andre F. Marquand, Steven C. R. Williams, John Shawe-Taylor, Michael J. Brammer
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine. NeuroImage 58 (3) (2011)
Qiyong Gong, Qizhu Wu, Cristina Scarpazza, Su Lui, Zhiyun Jia, Andre F. Marquand, Xiaoqi Huang, Philip K. McGuire, Andrea Mechelli
Prognostic prediction of therapeutic response in depression using high-field MR imaging. NeuroImage 55 (4) (2011)
Orla M. Doyle, Mitul A. Mehta, Michael J. Brammer, Adam J. Schwarz, Sara De Simoni, Andre F. Marquand
Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning. MLINI (2011)
Andre F. Marquand, Matthew Howard, Michael John Brammer, Carlton Chu, Steven Coen, Janaina Mourão Miranda
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage 49 (3) (2010)
Christine Ecker, Vanessa Rocha-Rego, Patrick J. Johnston, Janaina Mourão Miranda, Andre F. Marquand, Eileen M. Daly, Michael J. Brammer, Clodagh Murphy, Declan G. M. Murphy
Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach. NeuroImage 49 (1) (2010)