Steven C. R. Williams

发表

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data

Daniel C. Alexander, Jacob W. Vogel, Alexandra L. Young, 2021, Frontiers in Artificial Intelligence.

Patient classi fi cation as an outlier detection problem : An application of the One-Class Support Vector Machine

John Shawe-Taylor, David R. Hardoon, Tim Hahn, 2011 .

Classifying social anxiety disorder using multivoxel pattern analyses of brain function and structure

Mats Fredrikson, Andre F. Marquand, Tomas Furmark, 2014, Behavioural Brain Research.

Making use of longitudinal information in pattern recognition

Christoph Mönninghoff, Christian Weimar, Karl-Heinz Jöckel, 2016, Human brain mapping.

An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine

Andre F. Marquand, Andrea Mechelli, William Pettersson-Yeo, 2014, Front. Neurosci..

Test–retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers

Andre F. Marquand, Adam J. Schwarz, Mitul A. Mehta, 2013, NeuroImage.

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

Janaina Mourão Miranda, Michael J. Brammer, David R. Hardoon, 2011, NeuroImage.

Estimating multivariate similarity between neuroimaging datasets with sparse canonical correlation analysis: an application to perfusion imaging

Andre F. Marquand, Orla M. Doyle, Fernando Zelaya, 2015, Front. Neurosci..

Multivariate decoding of brain images using ordinal regression☆

John Ashburner, Andre F. Marquand, Orla M. Doyle, 2013, NeuroImage.

Rapid processing and quantitative evaluation of structural brain scans for adaptive multimodal imaging

Richard E. Daws, Steven C. R. Williams, S. Skare, 2021, Human brain mapping.

Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project

Steven C. R. Williams, S. Bölte, T. Bourgeron, 2022, bioRxiv.

Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data

Andre F. Marquand, Steven C. R. Williams, Orla M. Doyle, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level

Steven C. R. Williams, A. Mechelli, P. Mcguire, 2013, Psychological Medicine.

Bayesian multi-task learning for decoding multi-subject neuroimaging data

Michael J. Brammer, Andre F. Marquand, Steven C. R. Williams, 2014, NeuroImage.

Test–retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers

Steven C. R. Williams, A. Schwarz, A. Marquand, 2013, NeuroImage.

PROBABILISTIC PREDICTION OF NEUROLOGICAL DISORDERS WITH A STATISTICAL ASSESSMENT OF NEUROIMAGING DATA MODALITIES.

M Filippone, A F Marquand, C R V Blain, 2012, The annals of applied statistics.