Andre F. Marquand
Orcid: 0000-0001-5903-203X
According to our database1,
Andre F. Marquand
authored at least 27 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
npj Digit. Medicine, 2024
2023
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.
CoRR, 2023
2022
Deep neural networks learn general and clinically relevant representations of the ageing brain.
NeuroImage, 2022
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models.
NeuroImage, 2022
Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
NeuroImage, 2021
2020
Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
2018
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data.
CoRR, 2018
Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
A Bayesian spatial model for neuroimaging data based on biologically informed basis functions.
NeuroImage, 2017
2014
Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging".
IEEE Trans. Medical Imaging, 2014
SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging.
IEEE Trans. Medical Imaging, 2014
NeuroImage, 2014
Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
Test-retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers.
NeuroImage, 2013
2012
Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach.
NeuroImage, 2012
2011
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine.
NeuroImage, 2011
Prognostic prediction of therapeutic response in depression using high-field MR imaging.
NeuroImage, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
2010
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.
NeuroImage, 2010
Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach.
NeuroImage, 2010