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2020 – today
- 2022
[j2]Nicolas Traut, Katja Heuer
, Guillaume Lemaître, Anita Beggiato, David Germanaud, Monique Elmaleh, Alban Bethegnies, Laurent Bonnasse-Gahot, Weidong Cai, Stanislas Chambon, Freddy Cliquet, Ayoub Ghriss, Nicolas Guigui, Amicie de Pierrefeu, Meng Wang, Valentina Zantedeschi, Alexandre Boucaud, Joris Van den Bossche, Balázs Kégl, Richard Delorme, Thomas Bourgeron, Roberto Toro, Gaël Varoquaux:
Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery. NeuroImage 255: 119171 (2022)
2010 – 2019
- 2018
- [j1]Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem, Mathieu Dubois, Renaud Jardri, Thomas Fovet, Philippe Ciuciu, Vincent Frouin, Edouard Duchesnay:
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty. IEEE Trans. Medical Imaging 37(2): 396-407 (2018) - [c2]Amicie de Pierrefeu, Tommy Löfstedt, Charles Laidi, Fouad Hadj-Selem, Marion Leboyer, Philippe Ciuciu, Josselin Houenou, Edouard Duchesnay:
Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity. PRNI 2018: 1-4 - 2015
- [c1]Hengameh Mirzaalian, Amicie de Pierrefeu, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Marek Kubicki, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi:
Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners. MICCAI (1) 2015: 12-19
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