Andre F. Marquand

37 papers B 1Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Unobtrusive inference of diurnal rhythms from smartphone data. npj Digit. Medicine Loran Knol, Mindy K. Ross, Anisha Nagpal, Andrew P. Burns, Zachery Morrissey, Faraz Hussain, Tory A. Eisenlohr-Moul, Christian F. Beckmann, Alex D. Leow, Andre F. Marquand
2024	J	`jnl`	Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence. npj Digit. Medicine 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
2024	—	`conf`	Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping. ISBI Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers
2024	J	`jnl`	Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces. CoRR Hao-Chun Yang, Sicheng Dai, Saige Rutherford, Christian Gaser, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers
2024	J	`jnl`	Smartphone keyboard dynamics predict affect in suicidal ideation. npj Digit. Medicine 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
2024	—	`conf`	To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling. MLHC Saige Rutherford, Thomas Wolfers, Charlotte J. Fraza, Nathaniel G. Harnett, Christian F. Beckmann, Henricus G. Ruhe, Andre F. Marquand
2024	J	`jnl`	To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling. CoRR Saige Rutherford, Thomas Wolfers, Charlotte J. Fraza, Nathaniel G. Harrnet, Christian F. Beckmann, Henricus G. Ruhe, Andre F. Marquand
2023	J	`jnl`	Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping. CoRR Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers
2022	J	`jnl`	Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. NeuroImage Johanna M. M. Bayer, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand
2022	J	`jnl`	Deep neural networks learn general and clinically relevant representations of the ageing brain. NeuroImage 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
2022	—	`conf`	Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression. MICCAI (1) 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
2022	J	`jnl`	PROMISSING: Pruning Missing Values in Neural Networks. CoRR Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien P. W. Pluim, Wiepke Cahn, Hugo G. Schnack
2021	J	`jnl`	Warped Bayesian linear regression for normative modelling of big data. NeuroImage Charlotte J. Fraza, Richard Dinga, Christian F. Beckmann, Andre F. Marquand
2020	J	`jnl`	Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data. CoRR Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
2020	—	`conf`	Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data. MICCAI (7) Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
2019	—	`conf`	Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. MIDL Seyed Mostafa Kia, Andre F. Marquand
2018	J	`jnl`	Connectopic mapping with resting-state fMRI. NeuroImage Koen V. Haak, Andre F. Marquand, Christian F. Beckmann
2018	J	`jnl`	Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. CoRR Seyed Mostafa Kia, Andre F. Marquand
2018	—	`conf`	Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes. MICCAI (3) Seyed Mostafa Kia, Andre F. Marquand
2018	J	`jnl`	Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes. CoRR Seyed Mostafa Kia, Andre F. Marquand
2018	J	`jnl`	Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data. CoRR Seyed Mostafa Kia, Christian F. Beckmann, Andre F. Marquand
2018	—	`ed.`	Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings MLCN/DLF/iMIMIC@MICCAI Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier
2017	J	`jnl`	A Bayesian spatial model for neuroimaging data based on biologically informed basis functions. NeuroImage Ismael Huertas, Marianne Oldehinkel, Erik S. B. van Oort, David Garcia-Solis, Pablo Mir, Christian F. Beckmann, Andre F. Marquand
2014	J	`jnl`	Bayesian multi-task learning for decoding multi-subject neuroimaging data. NeuroImage Andre F. Marquand, Michael J. Brammer, Steven C. R. Williams, Orla M. Doyle
2014	J	`jnl`	Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging". IEEE Trans. Medical Imaging Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda
2014	—	`conf`	Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data. PRNI Andre F. Marquand, Steven C. R. Williams, Orla M. Doyle, Maria João Duarte Rosa
2014	B	`conf`	Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data. ICPR Andrew D. O'Harney, Andre F. Marquand, Katya Rubia, Kaylita Chantiluke, Anna B. Smith, Ana Cubillo, Camilla Blain, Maurizio Filippone
2014	J	`jnl`	SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging. IEEE Trans. Medical Imaging Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda
2013	J	`jnl`	Multivariate decoding of brain images using ordinal regression. NeuroImage Orla M. Doyle, John Ashburner, Fernando O. Zelaya, Stephen C. R. Williams, Mitul A. Mehta, Andre F. Marquand
2013	J	`jnl`	PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics Jessica Schrouff, Maria João Duarte Rosa, Jane M. Rondina, Andre F. Marquand, Carlton Chu, John Ashburner, Christophe Phillips, Jonas Richiardi, Janaina Mourão Miranda
2013	J	`jnl`	Test-retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers. NeuroImage 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
2012	J	`jnl`	Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach. NeuroImage 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
2011	—	`conf`	Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning. MLINI Orla M. Doyle, Mitul A. Mehta, Michael J. Brammer, Adam J. Schwarz, Sara De Simoni, Andre F. Marquand
2011	J	`jnl`	Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine. NeuroImage Janaina Mourão Miranda, David R. Hardoon, Tim Hahn, Andre F. Marquand, Steven C. R. Williams, John Shawe-Taylor, Michael J. Brammer
2011	J	`jnl`	Prognostic prediction of therapeutic response in depression using high-field MR imaging. NeuroImage Qiyong Gong, Qizhu Wu, Cristina Scarpazza, Su Lui, Zhiyun Jia, Andre F. Marquand, Xiaoqi Huang, Philip K. McGuire, Andrea Mechelli
2010	J	`jnl`	Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach. NeuroImage 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
2010	J	`jnl`	Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage Andre F. Marquand, Matthew Howard, Michael John Brammer, Carlton Chu, Steven Coen, Janaina Mourão Miranda