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ORCIDAndre F. Marquand
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2020 – today
- 2024
[j18]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)- [j17]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) - [c8]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. ISBI 2024: 1-5 - [i7]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 abs/2407.19114 (2024) - 2023
- [i6]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 abs/2312.02762 (2023) - 2022
- [j16]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: 119210 (2022) - [j15]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: 119699 (2022) - [c7]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: 207-217 - [i5]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 abs/2206.01640 (2022) - 2021
- [j14]Charlotte J. Fraza, Richard Dinga, Christian F. Beckmann, Andre F. Marquand:
Warped Bayesian linear regression for normative modelling of big data. NeuroImage 245: 118715 (2021) - 2020
- [c6]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: 699-709 - [i4]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 abs/2005.12055 (2020)
2010 – 2019
- 2019
- [c5]Seyed Mostafa Kia, Andre F. Marquand:
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. MIDL 2019: 297-314 - 2018
- [j13]Koen V. Haak, Andre F. Marquand, Christian F. Beckmann:
Connectopic mapping with resting-state fMRI. NeuroImage 170: 83-94 (2018) - [c4]Seyed Mostafa Kia, Andre F. Marquand:
Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes. MICCAI (3) 2018: 127-135 - [e1]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:
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. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - [i3]Seyed Mostafa Kia, Andre F. Marquand:
Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes. CoRR abs/1806.01047 (2018) - [i2]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 abs/1808.00036 (2018) - [i1]Seyed Mostafa Kia, Andre F. Marquand:
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. CoRR abs/1812.04998 (2018) - 2017
- [j12]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: 134-148 (2017) - 2014
- [j11]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: 298-311 (2014) - [j10]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): 85-98 (2014) - [j9]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): 794 (2014) - [c3]Andrew D. O'Harney, Andre F. Marquand, Katya Rubia, Kaylita Chantiluke, Anna B. Smith, Ana Cubillo, Camilla Blain, Maurizio Filippone:
Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data. ICPR 2014: 3185-3190 - [c2]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: 1-4 - 2013
- [j8]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: 75-90 (2013) - [j7]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: 347-357 (2013) - [j6]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): 319-337 (2013) - 2012
- [j5]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): 1015-1024 (2012) - 2011
- [j4]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): 1497-1503 (2011) - [j3]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): 793-804 (2011) - [c1]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: 210-217 - 2010
- [j2]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): 44-56 (2010) - [j1]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): 2178-2189 (2010)
Coauthor Index
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